Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls
Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls
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DOI：
10.1109/icc42927.2021.9500981
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发表时间：
2021-02
期刊：
影响因子：
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通讯作者：
Trinh Van Chien;H. Ngo;S. Chatzinotas;B. Ottersten;M. Debbah
中科院分区：
文献类型：
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作者：
Trinh Van Chien;H. Ngo;S. Chatzinotas;B. Ottersten;M. Debbah
研究了双散射信道下的大规模MIMO系统。我们推导出一个封闭形式的表达的上行链路遍历频谱效率（SE），利用最大比合并技术与不完美的信道状态信息。然后，我们制定和解决的总上行链路数据功率优化问题，旨在同时满足所需的SE从所有用户的有限的功率资源。我们还提出了算法，以科普拥塞问题时出现的至少一个用户服务的SE比要求低。数值结果表明，我们提出的功率优化的有效性。更重要的是，我们提出的业务处理算法可以保证所需的SE下拥塞的许多用户，即使当SE的要求很高。
This paper considers a massive MIMO system under the double scattering channels. We derive a closed-form expression of the uplink ergodic spectral efficiency (SE) by exploiting the maximum-ratio combining technique with imperfect channel state information. We then formulate and solve a total uplink data power optimization problem that aims at simultaneously satisfying the required SEs from all the users with limited power resources. We further propose algorithms to cope with the congestion issue appearing when at least one user is served by lower SE than requested. Numerical results illustrate the effectiveness of our proposed power optimization. More importantly, our proposed congestion-handling algorithms can guarantee the required SEs to many users under congestion, even when the SE requirement is high.