期刊文献+

上行多用户MIMO系统中的用户与天线联合选择方案

Joint user and antenna selection for uplink multiuser MIMO systems
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摘要 在多用户MIMO系统中,基站所能同时进行通信的用户数受到基站和用户端天线数的限制,随着用户数的增加,系统的性能反而会降低,因此,用户选择技术就成为一种改善系统性能的有效技术。在本文中,针对上行多用户MIMO系统提出了一种低复杂度的用户选择算法。为获得更大的系统性能,在用户选择的基础上,进一步提出了一种用户与天线联合选择算法。这两种算法在极大地简化计算复杂度的条件下,提供了与最优算法几乎相同的性能。 In multiuser MIMO systems,the number of users that the BS can communicate with simultaneously is constrained by the antenna numbers equipped at the BS and mobile stations.As the number of users increases,however,the system performance will get worse.Therefore,user selection technique becomes an effective technique to improve the system performance.In this paper,a low complexity user selection algorithm is proposed for the uplink multiuser MIMO systems.To further improve the system performance,a joint user and antenna selection algorithm is also proposed based on the above algorithm.The two selection algorithms provide the performance very close to that of the optimal with affordable complexity.
出处 《电路与系统学报》 CSCD 北大核心 2010年第4期110-114,共5页 Journal of Circuits and Systems
基金 国家自然科学基金(60572105 60872024) 教育部科技创新工程重大项目培育资金项目(708059) 新世纪优秀人才大学支持计划(NCET-05-0582) 山东省自然科学基金(Y2007G04) 移动通信国家重点实验室开放基金(W200802) 综合业务网国家重点实验室开放基金资助课题(ISN-9-03)
关键词 多输入多输出 上行链路 用户选择 用户与天线联合选择 multiple input multiple output uplink multiuser user selection joint user and antenna selection
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参考文献13

  • 1E Telatar. Capacity of multi-antenna Gaussian channels [J]. Eur. Trans. Telecomm. ETT, 1999, 10(6): 585-595.
  • 2S Vishwanath. Multipl-user Multiple Antenna Systems: Theoretical Limits and Practical Strategies [D]. Ph.D. dissertation, Stanford Univ, 2003.
  • 3P Viswanath, D N Tse. Sum capacity of the multiple antenna Gaussian broadcast channel [A]. in Proceedings of Int. Syrup. Inform. Theory [C]. 2002-06.497.
  • 4W Yu, W Rhee, S Boyd, J M Cioffi, Iterative Water-Filling for Gaussian Vector Multiple-Access Channels [J]. IEEE Tran. on Inform. Theory, 2004, 50(1): 145-152.
  • 5M Costa. Writing on dirty paper [J]. IEEE Trans. Inform. Theory, 1983, 29 (3): 439-441.
  • 6Spencer Q H, Swindlehurst A L, Haardt M. Zero forcing methods for downlink spatial multiplexing in multiuser MIMO channels [J]. IEEE Trans. Signal Process, 2004, 52(2): 461-471.
  • 7J Zhang, Y Wu, M Xu, J Wang. Linear transmitter precoding design for downlink of multiuser MIMO systems [J]. Electron. Lett., 2005, 41(4): 811-813.
  • 8M Sadek, A Tarighat, A H Sayed. A leakage-based precoding scheme for downlink multi-user MIMO channels [J]. IEEE Trans. on Wireless Communications, 2007, 6(5): 1711-1721.
  • 9Xuan Nam Tran, Taniguchi T, Karasawa Y. Adapative beamforming for multiuser space-time block coded systems, spread spectrum techniques and app lications [A]. 2004 IEEE Eighth International Symposium [C]. Piscataway, 2004. 745-749.
  • 10J H Winters, J Salz, R D Giltin. The impact of antenna diversity on capacity of wireless communication systems [J]. IEEE Transactions Communications, 1994, 42(2-4): 1740-1751.

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