Joint active device identification and symbol detection using sparse constraints in massive MIMO systems

Ganapati Hegde, M. Pesavento, M. Pfetsch
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引用次数: 3

Abstract

In this paper, we consider a wireless system with a central station equipped with a large number of antennas surveilling a multitude of single antenna devices. The devices become active and transmit blocks of symbols sporadically. Our objective is to blindly identify the active devices and detect the transmit symbols. To this end, we exploit the sporadic nature of the device to station communication and formulate a sparse optimization problem as an integer program. Furthermore, we employ the convex relaxation of the discrete optimization variables in the problem in order reduce its computational complexity. A procedure to further lower the symbol detection errors is also discussed. Finally, the influence of system parameters on the performance of the proposed techniques is analysed using simulation results.
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大规模MIMO系统中基于稀疏约束的联合有源器件识别与符号检测
在本文中,我们考虑了一个无线系统,其中央站配备了大量的天线来监视众多的单天线设备。设备变得活跃,偶尔传输符号块。我们的目标是盲目识别有源设备并检测发射符号。为此,我们利用设备的零星性来进行通信,并将稀疏优化问题以整数程序的形式表述出来。此外,我们在问题中采用离散优化变量的凸松弛,以降低其计算复杂度。文中还讨论了进一步降低符号检测误差的方法。最后,利用仿真结果分析了系统参数对所提技术性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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