MU-MIMO系统下行链路的低复杂度算法的开题报告.docx

MU-MIMO系统下行链路的低复杂度算法的开题报告

Introduction

Multiple-Input-Multiple-Output(MIMO)hasbeenawell-knowntechniqueusedinwirelesscommunicationsystemstoprovidehigherdataratesandbettersystemreliability.However,theintroductionofMulti-UserMultiple-Input-Multiple-Output(MU-MIMO)hasfurtherincreasedthecapacityofthewirelesscommunicationsystem.

InMU-MIMOsystems,multipleuserssharethesamedownlinktransmissionsimultaneously.Thisincreasesthesystemcapacityandprovidesamoreefficientuseoftheavailablespectrum.However,MU-MIMOsystemsalsointroducesomechallenges,suchasincreasedchannelestimationcomplexity,multiuserinterferenceandinter-userscheduling.

LowcomplexityalgorithmsforMU-MIMOtransmissionhavebeenwidelyresearchedtomitigatethechallengesandimprovesystemperformance.ThisprojectaimstoexplorethedevelopmentoflowcomplexityalgorithmsforthedownlinktransmissionofMU-MIMOsystems.

ProblemStatement

InthedownlinktransmissionofMU-MIMOsystems,asignificantamountofprocessingisrequiredtohandlemultipleusers’datastreamssimultaneously.ThesignalprocessingcomplexityinMU-MIMOsystemsishigherthanthatinSingle-Input-Single-Output(SISO)andSingle-Input-Multiple-Output(SIMO)systems.

ThehighcomplexitynatureofMU-MIMOsignalprocessingposespracticallimitations,especiallyinreal-timeapplicationssuchasvideoconferencingandreal-timegaming.Therefore,thereisaneedtodeveloplowcomplexityalgorithmsforMU-MIMOtransmission.

ResearchObjectives

TheprimaryaimofthisprojectistodeveloplowcomplexityalgorithmsforthedownlinktransmissionofMU-MIMOsystems.Thespecificobjectivesoftheresearchare:

1.StudythesystemmodelofMU-MIMOtransmission.

2.InvestigateexistinglowcomplexityalgorithmsforMU-MIMOtransmission.

3.ProposealowcomplexityalgorithmforchannelestimationinMU-MIMOtransmission.

4.Developlowcomplexityalgorithmsforsignal