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The throughput optimization for wireless sensor networks adopting interference alignment and successive interference cancellation

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Abstract

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.

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Acknowledgements

The authors would like to thank the four anonymous reviewers for their expertise comments and Dingding Wang for her help in early research. This work is funded by the National Natural Science Foundation of China under Grant No.61701162, Fundamental Research Funds for the Central Universities (GRANT NO.JZ2019Y YPY0017, JZ2019YYPY0298, JZ2019YYPY0290) and Anhui province key project (No.18030901039, No.201903c08020008, and No.201903a05020064). We also want to deliver our sincere gratitude to editors and reviewers for your arduous efforts.

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Authors and Affiliations

  1. Hefei University of Technology, Hefei, China

    Xu Ding, Jing Wang, Chong Zhao & Peng Zhang

  2. Taiyuan University of Technology, Taiyuan, China

    Yucheng Wu

  3. Shanghai University, Shanghai, China

    Honghao Gao

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  1. Xu Ding
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  2. Jing Wang
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  3. Chong Zhao
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  4. Peng Zhang
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  5. Yucheng Wu
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Correspondence to Yucheng Wu.

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This article is part of the Topical Collection: Special Issue on P2P Computing for Deep Learning

Guest Editors: Ying Li, R.K. Shyamasundar, Yuyu Yin, Mohammad S. Obaidat

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Ding, X., Wang, J., Zhao, C. et al. The throughput optimization for wireless sensor networks adopting interference alignment and successive interference cancellation. Peer-to-Peer Netw. Appl. 14, 1748–1764 (2021). https://doi.org/10.1007/s12083-020-00972-9

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