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The throughput optimization for wireless sensor networks adopting interference alignment and successive interference cancellation
Peer-to-Peer Networking and Applications ( IF 4.2 ) Pub Date : 2020-09-26 , DOI: 10.1007/s12083-020-00972-9
Xu Ding , Jing Wang , Chong Zhao , Peng Zhang , Yucheng Wu , Honghao Gao

Interference management has always been a research hotspot in the field of wireless communications. Currently, researches based on interference management mostly focus on an interference management technology, and few studies have combined multiple interference management technologies. This paper proposes an interference management technology that combines Interference Alignment (IA) and Successive Interference Cancellation (SIC) technologies. First, we determine the routing path of the session with the goal to minimize hops and interference and establish the IA-SIC mathematics model in multi-hop networks. Based on this model, a cross-layer optimization framework for multi-hop networks is developed. The goal is to make full use of the advantages of IA and SIC to improve the end-to-end data transmission rate of multi-hop sessions. To evaluate the performance of our algorithm in multi-hop networks, we compare the performance of the network using IA-SIC with that without SIC. Simulation results show that using IA-SIC can significantly increase the throughput of the communication sessions.



中文翻译:

采用干扰对准和连续干扰消除的无线传感器网络吞吐量优化

干扰管理一直是无线通信领域的研究热点。当前,基于干扰管理的研究大多集中在干扰管理技术上,很少有研究将多种干扰管理技术结合在一起。本文提出了一种干扰管理技术,该技术结合了干扰对准(IA)和连续干扰消除(SIC)技术。首先,我们确定会话的路由路径,以最大程度地减少跳数和干扰,并在多跳网络中建立IA-SIC数学模型。基于该模型,开发了一种用于多跳网络的跨层优化框架。目的是充分利用IA和SIC的优势来提高多跳会话的端到端数据传输速率。为了评估我们算法在多跳网络中的性能,我们比较了使用IA-SIC和不使用SIC的网络的性能。仿真结果表明,使用IA-SIC可以显着提高通信会话的吞吐量。

更新日期:2020-09-26
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