支持稀疏射频链的广义空间调制大规模MIMO技术研究

大规模MIMO已经成为未来移动通信的重要传输技术。然而，它显著增加了天线和射频链路的数量，带来了高昂的实现成本。针对上述问题，本项目将收发射频数量作为系统设计的新约束，探索支持稀疏射频链的广义空间调制传输理论和方法。首先，通过理论分析，揭示射频数量与遍历容量、可达速率、误码率性能之间的制约关系，获得可行的射频约减方案；其次，在射频数量约束下，研究大规模天线和稀疏射频间的高效切换策略，探索系统所能获得的最大空间分集增益；最后，经过射频约减之后，通过挖掘发射信号的稀疏性，研究基于压缩感知的大规模MIMO信号检测方法，提出高效的实现方案。本项目的研究可以完善支持稀疏射频链的大规模MIMO传输理论，并有望应用于未来无线通信系统，具有重要的理论及经济价值。

Massive multiple-input multiple-output (MIMO) has been a class of promising transmission techniques in future wireless communications. However, the transceiver of massive MIMO desires a huge number of antennas and radio frequency (RF) chains, which introduces the drawback of high implement cost. For solving this problem, this project will do researches on generalized spatial modulation (GSM) based massive MIMO techniques with sparse RF chains, by considering the number of RF chains at the transceiver side as a new condition for system design. Firstly, through theoretical analysis, we will expose the inside connection among the number of RF chains, spectrum efficiency and transmission performance, to acquire efficient RF-chain reduction schemes. Secondly, under the limitation of the number of RF chains at the transceiver side, we will do researches on the design of efficient switching between the plentiful transceiver antennas and the sparse RF chains, so as to explore the maximum space diversity. Lastly, after the reduction of the number of RF chains, we will do researches on massive MIMO signal detection based on the theory of compressed sensing, by exploring the sparse feature of the transmit signals. The research results of this project can improve the transmission theory of generalized spatial modulation based massive MIMO techniques with sparse RF chains, so the research is with important theoretical and economical values for applying to the next generation wireless communications.