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.
翻译:本文考虑了在双散射渠道下的大型IMO系统。 我们通过利用与不完善的频道状态信息相结合的技术来利用最大轨距来获得上行电子光谱效率(SE)的封闭式表达方式。 然后,我们制定并解决了整个上行数据能力优化问题,目的是同时满足所有电力资源有限的用户对SE的要求。 我们进一步提出算法,以便在至少有一个用户得到比要求低的SE服务时,解决出现的拥挤问题。 数字结果说明了我们拟议优化电力的效率。 更重要的是,我们提议的拥堵处理算法可以保证许多拥挤的用户获得所需的SES, 即使SE的要求很高。