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Distributed Link Scheduling Algorithm Based on Successive Interference Cancellation in MIMO Wireless Networks

机译：基于MIMO无线网络连续干扰取消的分布式链路调度算法

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摘要

The performance of multiple input multiple output (MIMO) wireless networks is limited mainly by concurrent interference among sensor nodes. Effective link scheduling algorithms with the technology of successive interference cancellation (SIC) can maximize throughput in MIMO wireless networks. Most previous works on link scheduling in MIMO wireless networks did not consider SIC. In this paper, we propose a MIMO-SIC (MSIC) algorithm under the SINR model. First, a mathematical framework is established for the cross-layer optimization of routing and scheduling, with constraints of traffic balance and link capacity. Second, the interference regions are divided to characterize the level of interference between links. Finally, we propose a distributed link scheduling algorithm based on MSIC to eliminate the interference between competing links in the MIMO network. Experimental results show that the MSIC algorithm can increase the end-to-end throughput per unit by approximately 73% on average compared with non-SIC algorithms.
机译：多输入多输出（MIMO）无线网络的性能主要通过传感器节点之间的并发干扰来限制。具有连续干扰消除技术的有效链路调度算法（SIC）可以最大限度地提高MIMO无线网络中的吞吐量。最先前的MIMO无线网络链接调度的工作没有考虑SIC。在本文中，我们在SINR模型下提出了MIMO-SIC（MSIC）算法。首先，为路由和调度的跨层优化建立数学框架，具有交通平衡和链路容量的约束。其次，划分干扰区域以表征链路之间的干扰水平。最后，我们提出了一种基于MSIC的分布式链路调度算法，以消除MIMO网络中竞争链路之间的干扰。实验结果表明，与非SIC算法相比，MSIC算法每单位的端到端吞吐量将每单位增加约73％。

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