基于降低公平性容量最大子載波分配算法畢業(yè)論文

1、摘要Ⅰ摘要隨著無線通信技術日新月異的發(fā)展，LTE網(wǎng)絡中頻譜利用率低下的問題越來越引人關注。針對這一問題，本文通過介紹認知無線電頻譜檢測和分配技術，將認知無線電和LTE關鍵技術OFDM相結合，在研究了基于比例公平容量最大子載波分配算法的基礎上，提出了基于降低公平性容量最大子載波分配算法。該算法針對前者系統(tǒng)的公平性和頻譜效率存在的缺陷提出了改進，將子載波分配給信道條件最好的認知用戶，同時該用戶的信道參數(shù)乘上分配因子，在兼顧了各個用戶接入公平

2、的條件下，使系統(tǒng)頻譜效率最大化。最后，將本算法與基于比例公平容量最大子載波分配算法進行MATLAB仿真，得出本算法在系統(tǒng)頻譜效率上性能比基于比例公平容量最大子載波分配算法好的結論。關鍵詞：認知無線電；LTE；頻譜分配；頻譜效率；MATLABABSTRACTⅡABSTRACTWiththerapiddevelopmentofwirelesscommunicationtechnologytheproblemoflowspectrumutil

3、izationinLTEwkisconcernedtoday.IndertodealwiththisproblemthispaperintroducesthetechnologyofspectrumdetectionallocationincognitiveradiowecombinethecognitiveradiotechnologyOFDMtechnologywhichisthekeytechnologyinLTEsystempr

4、oposedthelargestcapacityofsubcarrierallocationalgithmbaseonreducingthefairnessafterstudyingthelargestcapacityofsubcarrierallocationalgithmbaseonfairofproptional.Thisalgithmproposesimprovementsfocusingonthedefectinfairnes

5、sspectralefficiency.Firstweallocatethesubcarrierstocognitiveuserswithbestchannelconditionsthenmultiplyadistributionfacttothechannelparameterofthecognitiveuserwhoownsthesubcarrier.Intakingintoaccounttherespectiveuseracces

6、sunderfairconditions，wemaximumthespectralefficiency.FinallywecompareanalysisthefunctionofthetwoalgithmthroughMATLABsimulationfoundthatthelargestcapacityofsubcarrierallocationalgithmbaseonreducingthefairnessiswithbettersp