Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks
Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks
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DOI：
10.1109/access.2021.3123581
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发表时间：
2021-01-01
期刊：
影响因子：
3.9
通讯作者：
De Gaudenzi, Riccardo
中科院分区：
文献类型：
--
作者：
Angeletti, Piero;De Gaudenzi, Riccardo
允许实施灵活卫星有效载荷的技术的出现为有效应对不一致的交通状况提供了巨大的机会。后者是现代卫星宽带接入服务经济提供的“症结”之一。本文推导出了卫星多波束宽带通信网的负担得起的(线性)复杂度无线资源管理(RRM)技术，该技术非常接近最优解，其复杂度与用户数呈指数关系。将所提出的启发式RRM解决方案应用于要求最高的大规模多输入多输出(M-MIMO)情况。结果表明，与采用相同RRM算法的更复杂的理想最小均方误差(MMSE)M-MIMO相比，低复杂度有效载荷实用型M-MIMO方案与启发式RRM算法相结合，能够以较小的吞吐量代价有效地应对非常不同的业务情况。相反，使用启发式RRM的实用M-MIMO的性能优于使用简单RRM的MMSE M-MIMO。
The advent of technologies allowing the implementation of flexible satellite payloads is opening up great opportunities to efficiently cope with non-uniform traffic conditions. The latter is one of the "crux" of modern satellite broadband access service economic provision. In this paper we derive affordable (linear) complexity radio resource management (RRM) techniques for satellite multi-beam broadband communication networks that are closely approaching the optimum solution which has an exponential complexity with the number of users. The proposed heuristic RRM solution is applied to the most demanding Massive Multiple Input Multiple Output (M-MIMO) case. It is shown that the low-complexity payload pragmatic M-MIMO solution combined with heuristic RRM is able to efficiently cope with very different traffic conditions with a small penalty in terms of throughput compared to the much more complex ideal Minimum Mean Square Error (MMSE) M-MIMO adopting the same RRM algorithm. Instead, the pragmatic M-MIMO with heuristic RRM is outperforming MMSE M-MIMO exploiting simple RRM.