Research On Joint Antenna Selection Algorithm For MIMO Systems

Multiple-Input-Multiple-Output (MIMO) wireless systems can achieve greatimprovement of capacity and spectral efficiency with extra power and broadbandconsumption. Therefore, MIMO becomes a key technology in the future wirelesscommunication system. We can significantly improve the quality of communication forthe system, as well as the data rate. Since MIMO system employs multi-antenna arrayboth at the transmitter and receiver, multiple RF chains need to be configured. As aresult, the complexity of signal processing and the hardware cost of the system aredrastically increased. In such system, it is desirable to select proper antennas from allthe available antennas according an appropriate criterion, so as to achieve the goal ofbalancing system performance and lowering hardware complexity. Thus, antennaselection becomes a research hotpot in the current MIMO wireless field.The thesis focuses on the transmitting/receiving antenna subset selectionalgorithm as well as near-optimal joint antenna selection, based on the analysis andstudy for classical antenna selection algorithm in MIMO system. For both highcomplexity and only being applicable to the situation that transmit and receive endsselect the same number of antennas instead of the situation with different antennanumber on both sides, an improved transmitting/receiving joint antenna selectionalgorithm is proposed. The algorithm adopts the idea of antenna subset selection,meanwhile joint optimization algorithm to select antennas. The proposed algorithm canachieve selecting different number of antennas for transmitter and receiver, while thecomputational complexity of the system is reduced, and the most optimal systemcapacity performance is achieved.The traditional MIMO system antenna selection algorithms are implemented underideal channel model, ignoring the practical application problems like antenna mutualcoupling effects, which exists when antenna spacing is small. In the final part of thethesis, joint antenna selection would be researched in the compacting MIMO system.We characterize the mutual coupling properly by introducing the receiving mutualimpedance method which is proposed by Hui.T lately, then the MIMO system model inthe Rayleigh fading correlation channel is established, and in this system, we make asimulation about joint antenna selection algorithm proposed in the thesis finally. As canbe seen from the simulation results, in the mutual coupling MIMO system, the proposed joint antenna selection algorithm in previous part can also achieve optimal systemcapacity performance.