基于SLNR准则的多点协作联合处理算法  

Multi-cell joint processing algorithm based on SLNR criterion

作　　者：姜静[1] 曾艳[1] 孙长印[1] 卢光跃[1] 

机构地区：[1]西安邮电大学通信与信息工程学院,西安710121

出　　处：《计算机应用研究》2013年第11期3451-3454,共4页Application Research of Computers

基　　金：国家科技重大专项基金资助项目(2012ZX03001025-004);国家自然科学基金资助项目(61102047);陕西省教育厅科研计划专项基金资助项目(11JK1016;11JK1021)

摘　　要：多小区单用户联合传输能显著改善小区边缘用户的链路性能, 但降低了协作小区的平均吞吐量; 多小区多用户联合传输在改善小区边缘用户性能的同时, 通过协作小区内多个移动终端的复用, 提升协作小区的平均吞吐量。根据SLNR准则提出了一种单用户和多用户自适应切换的多小区联合处理算法, 结合协作集合选择、选择协作集合内的配对用户、MU-MIMO处理等形成一个完整的CoMP处理过程。该算法的单用户和多用户MIMO算法处理相似, 可简化系统处理过程, 并通过自适应选择单/多用户模式提高算法鲁棒性, 有利于提高CoMP的系统增益。根据LTE-Advanced系统的参数进行了系统仿真, 结果证明, 该算法性能优于多小区单用户联合处理和单小区多用户处理的性能, 可提高协作小区吞吐量25%~40%。Single user of the multi-cell joint transmission can significantly improve the link performance of the cell edge users, but reduces the average throughput of cooperative cells. Multi-cell multi-user joint transmission can enhance the collaboration cell average throughput through the plurality of mobile terminals multiplexing in cooperative cells, at the same time to improve the cell-edge user performance. This paper proposed adaptive switching algorithms of a single-user and multi-user multi-cell joint processing on SLNR criteria, which was a complete CoMP process containing the selection of cooperating set, the selection of paired user within the cooperating set, the judgment of single user or multi-user joint processing and MU-MIMO joint processing. The algorithm could reduce system complexity because single-user joint processing had similar processing with multi-user joint process, and improve robustness and CoMP system gained through adaptive selection of single/multi-user mode. Finally, system simulation results show：according to the parameters of the LTE-advanced system and prove that the algorithm is superior to the performance of multi-cell single-user joint processing and single cell multi-user processing and improve coordination cell throughput with 25~40 percents.

关 键 词：协作多点传输 联合处理 多用户多天线技术 信漏噪比 

分 类 号：TN929.5[电子电信—通信与信息系统]