Energy-Efficient and Low-Complexity Uplink Transceiver for Massive Spatial Modulation MIMO
Energy-Efficient and Low-Complexity Uplink Transceiver for Massive Spatial Modulation MIMO
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DOI：
10.1109/tvt.2014.2373364
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发表时间：
2015-10
影响因子：
6.8
通讯作者：
Shengchu Wang;Yunzhou Li;Ming Zhao;Jing Wang
中科院分区：
文献类型：
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作者：
Shengchu Wang;Yunzhou Li;Ming Zhao;Jing Wang
在本文中，我们设计了一个新的多用户（MU）的大规模空间调制（SM）多输入多输出（SM-MIMO）系统在频率选择性衰落信道上的上行链路收发器，其中基站（BS）配备了大量的天线，和用户设备（UE）有多个发射天线（TA），但只有一个射频（RF）链。UE通过循环前缀单载波（CP-SC）SM同时向BS发送数据比特。对于上行链路MU检测（MUD），我们构造了一种低复杂度的广义近似消息传递检测器（GAMPD），该检测器能够同时利用发送信号的稀疏性和先验概率分布，最复杂的运算仅为矩阵-向量乘法，适合硬件实现。基于状态演化分析了其均方误差（MSE）和未编码误码率（BER）性能。与分段线性检测器相比，GAMPD算法的复杂度降低了几个数量级。此外，仿真结果表明，GAMPD的性能接近最大似然（ML）检测和最小均方误差（MMSE）显着优于。最后，为了设计节能的大规模SM-MIMO，我们提出了一种实用的算法来优化关键系统参数（例如，发射功率、BS天线或UE的数目、或UE处的TA）。仿真结果表明，低BS电路功耗和长信道相干时间是大规模SM-MIMO成功的两个关键先决条件。
In this paper, we design the uplink transceiver for a new multiuser (MU) massive spatial modulation (SM) multiple-input-multiple-output (SM-MIMO) system over frequency-selective fading channels, where the base station (BS) is equipped with massive antennas, and user equipment (UE) has multiple transmit antennas (TAs) but only one radio-frequency (RF) chain. UE transmit data bits to the BS simultaneously by cyclic-prefix single-carrier (CP-SC) SM. For the uplink MU detection (MUD), we construct a low-complexity generalized approximate message passing detector (GAMPD), which can exploit both the sparsity and prior probability distribution of the transmitted signal and is suitable for hardware implementation because its most complex operation is only matrix-vector multiplication. Its mean square error (MSE) and uncoded bit error rate (BER) performances are also analyzed based on the state evolution (SE). Compared with stagewised linear detectors, GAMPD shows orders-of-magnitude lower complexity. Moreover, simulation results indicated that GAMPD approaches to the performance of maximum-likelihood (ML) detection and outperforms minimum MSE (MMSE) significantly. Finally, to design energy-efficient massive SM-MIMO, we propose a practical algorithm to optimize the key system parameters (e.g., the transmission power, the numbers of the BS antennas or UE, or the TAs at the UE). Numerical results indicate that low BS circuit power consumption and long channel coherence time are the two key prerequisites for the success of massive SM-MIMO.