A Framework for Evaluating Physical-Layer Network Coding Gains in Multi-Hop Wireless Networks

作者: Raphael Naves , Hicham Khalife , Gentian Jakllari , Vania Conan , Andre-Luc Beylot

DOI: 10.1109/TMC.2018.2883429

关键词:

摘要: Physical-Layer Network Coding (PLNC) was first introduced as a solution to increase the throughput of two-way relay channel communication. Unlike most wireless communication techniques which try avoid collisions, PLNC allows two simultaneous transmissions common receiver. In basic topologies, this technique has been shown significantly enhance performance compared classical interference-free communications. However, quantifying impact in large multi-hop networks remains an open question. work, we introduce theoretical framework that, given particular network topology and traffic matrix, can evaluate optimal subject fairness constraint relative initial demand each flow, when is adopted. Based on linear programming, our ensures respect particularities imposed by PLNC. We use three state-of-the-art schemes across variety topologies matrices. Our numerical analysis reveals that while simple toy throughput, verdict mixed. For certain patterns adopting double others, depending scheme used for implementing PLNC, gain be high 60 percent or low 0 traditional transmissions.

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