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Low dimensional multiuser detection exploiting low user activity

机译:利用低用户活动进行低维多用户检测

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In this paper, we propose new multiuser detectors (MUDs) based on compressed sensing approaches for the large-scale multiple antenna systems equipped with dozens of low-power antennas. We consider the scenarios where the number of receiver antennas is smaller than the total number of users, but the number of active users is relatively small. This prior information motivates sparsity-embracing MUDs such as sparsity-embracing linearonlinear MUDs where the detection of active users and their symbol detection are employed. In addition, sparsity-embracing MUDs with maximum a posteriori probability criterion (MAP-MUDs) are presented. They jointly detect active users and their symbols by exploiting the probability of user activity, and it can be solved efficiently by introducing convex relaxing senses. Furthermore, it is shown that sparsity-embracing MUDs exploiting common users' activity across multiple symbols, i.e., frame-by-frame, can be considered to improve performance. Also, in multiple multiple-input and multiple-output networks with aggressive frequency reuse, we propose the interference cancellation strategy for the proposed sparsity-embracing MUDs. That first cancels out the interference induced by adjacent networks and then recovers the desired users' information by exploiting the low user activity. In simulation studies for binary phase shift keying modulation, numerical evidences establish the effectiveness of our proposed MUDs exploiting low user activity, as compared with the conventional MUD.
机译:在本文中,我们针对配备有数十个低功率天线的大规模多天线系统,提出了一种基于压缩感测方法的新型多用户检测器(MUD)。我们考虑了以下情况:接收天线的数量小于用户总数,但活动用户的数量相对较少。该先验信息激励稀疏缠结的MUD,例如稀疏缠结的线性/非线性MUD,其中采用了活动用户的检测及其符号检测。此外,提出了具有最大后验概率准则(MAP-MUD)的稀疏性MUD。他们通过利用用户活动的可能性来共同检测活动用户及其符号,并且可以通过引入凸的放松感来有效地解决它。此外,已经表明,可以考虑利用稀疏性包容的MUD来利用普通用户跨多个符号的活动,即逐帧地进行活动,以提高性能。同样,在具有积极的频率复用的多个多输入和多输出网络中,我们为所提出的稀疏性包围MUD提出了干扰消除策略。这首先消除了相邻网络引起的干扰,然后通过利用低用户活动来恢复所需用户的信息。在二进制相移键控调制的仿真研究中,数值证据证明了与传统MUD相比,我们建议的MUD利用低用户活动性的有效性。

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