MIMO-OFDM系统中自适应功率和比特分配算法的研究的中期报告Abstract:InMIMO-OFDMsystems,adaptivepowerandbitallocationalgorithmisanimportantapproachtoimprovethesystemperformance.ThisreportpresentsamidtermreviewoftheresearchontheadaptivepowerandbitallocationalgorithminMIMO-OFDMsystems.Themaincontentsincludetherelatedworkonpreviousresearch,thecurrentprogressoftheresearch,andthefutureresearchdirection.Introduction:Withtherapiddevelopmentofwirelesscommunicationtechnologies,MIMO-OFDMsystemshavebecomeapopulartechniqueforhighdataratewirelesstransmission.InMIMO-OFDMsystems,adaptivepowerandbitallocationalgorithmisanimportantapproachtoimprovethesystemperformance.Theobjectiveofthealgorithmistooptimizethesystemperformancebyallocatingthepowerandbitstothesubcarriersbasedonthechannelconditions.RelatedWork:TherelatedworkontheadaptivepowerandbitallocationalgorithminMIMO-OFDMsystemsmainlyfocusesontwoaspects:powerallocationandbitallocation.Intermsofpowerallocation,variousalgorithmshavebeenproposed,suchasthewater-fillingalgorithm,theiterativewater-fillingalgorithm,andtheadaptivesubcarrierpowerallocationalgorithm.Intermsofbitallocation,themostcommonlyusedalgorithmistheproportionalfairallocationalgorithm.CurrentProgress:ThecurrentprogressoftheresearchontheadaptivepowerandbitallocationalgorithminMIMO-OFDMsystemsincludesthefollowingaspects:1)Optimizationofpowerandbitallocationalgorithmbasedonchannelestimationaccuracy.2)Researchontheapplicationofmachinelearninginpowerandbitallocationalgorithm.3)Researchontheperformanceofthealgorithmunderinterferenceandfading.4)Investigationoflarge-scaleMIMO-OFDMsystemsandtheirimpactonpowerandbitallocationalgorithm.FutureResearchDirection:Inthefuture,theresearchonadaptivepowerandbitallocationalgorithminMIMO-OFDMsystemsshouldfocusonthefollowingaspects:1)Optimizationofthealgorithmbasedondifferentchannelmodelsandchannelestimationmethods.2)Researchontheapplicationofdeeplearningandreinforcementlearninginpowerandbitallocationalgorithm.3)Optimizationofthealgorithmunderinterfer