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下行链路多用户MIMO线性收发机设计

Linear transceiver design for downlink transmission in multiuser MIMO systems
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摘要 针对多用户多天线(MIMO)下行链路系统中的信干噪比(SINR)平衡问题和功率最小化问题,本文基于上下行链路对偶性提出一种新的收发机设计策略。该策略通过首先优化功率和接收滤波器、然后优化预编码器的交互迭代方式,避开传统算法中的复杂特征向量问题,从而极大的降低算法复杂度。仿真结果显示,本文算法具备更好的收敛性,相同性能下所需的计算精度远小于传统算法。 This paper consideres linear transceiver design with performance measured in term of signal to interference plus noise ratio (SINR) for downlink multiuser multiple input multiple output (MIMO) systems. Two different design criteria are considered: minimizing the total transmitted power with SINR constraints and maximizing the minimal SINR with a power constraint. Based on the uplink-downlink duality, a new transceiver design scheme is proposed for both problems,~This scheme works in the alternative manner by swishing between the optimization of power and receiving filter and the optimization of precoder. With this alternating fashion, the proposed algorithms obviate complex eigenvector problems of the conventional algorithms, and thus one can get a system with greatly lower complexity. Simulations demonstrate that the proposed algorithms have better convergence behavior, and greatly reduce calculating accuracy while getting the same performance with the existing algorithms.
出处 《电路与系统学报》 CSCD 北大核心 2012年第5期60-68,74,共10页 Journal of Circuits and Systems
基金 863计划重点项目"高频段无线链路技术研究"(2009AA011504)
关键词 多用户MIMO 上下行对偶 SINR 收发机设计 multiuser MIMO uplink-downlink duality SINR ti'ansceiver design
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参考文献13

  • 1Spencer Q H, Swindlehurst A L, Haardt M. Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels [J]. IEEE Trans. on Sig. Process.. 2004. 52(2): 461-471.
  • 2Choi L U, Murch R D. A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach [J]. IEEE Trans. on Wireless Commnn., 2004, 3(1): 20-24.
  • 3D P Palomar. A unified framework for communications through MIMO channels [D]. Ph.D. dissertation, Technical Univ. Catalonia (UPC), Barcelona, Spain, 2003.
  • 4S Serbetli, A Yener. Transceiver optimization for multiuser MIMO systems [J]. IEEE Trans. Signal Process., 2004, 52(1): 214-226.
  • 5S Shi, M Schubert, H Boche. Downlink MMSE transceiver optimization for multiuser MIMO systems: Duality and sum-MSE minimization [J]. IEEE Trans. on Signal Processing, 2007, 55(11): 5436-5446.
  • 6H Azzam, R S Adve. Linear Preeoding for Multiuser MIMO Systems with Multiple Base Stations [A]. IEEE ICC'09 [C]. 2009-06. 1-6.
  • 7M Schubert, H Boche. Solution of the multiuser down-link beamforming problem with individual SINR constraints [J]. IEEE Trans. Veh. Technology, 2004-01, 5: 18-28.
  • 8W Yu, T Lan. Transmitter optimization for the multi-antenna downlink with per-antenna power constraints [J]. IEEE Trans. Signal Process., 2007, 55(6): 2646-2660.
  • 9A Wiesel, Y C Eldar, S Shamai. Linear precoding via conic optimization for fixed MIMO receivers [J]. IEEE Trans. Signal Process., 2006, 54(1): 161-176.
  • 10A M Khachan, A J Tenenbaum, R S Adve. Linear Processing for the Downlink in Multiuser MIMO Systems with Multiple Data Streams [A]. IEEE ICC'06 [C]. 2006-06, 9:4113-4118.

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