Cross-layer optimization of wireless multihop networks with one-hop two-way network coding

  • Authors:
  • Lei You;Lianghui Ding;Ping Wu;Zhiwen Pan;Honglin Hu;Mei Song;Junde Song

  • Affiliations:
  • Signals and Systems, Department of Engineering Sciences, Uppsala University, Uppsala, Sweden and PCN CAD Center, Beijing University of Posts and Telecommunications, Beijing, China;Signals and Systems, Department of Engineering Sciences, Uppsala University, Uppsala, Sweden;Signals and Systems, Department of Engineering Sciences, Uppsala University, Uppsala, Sweden;National Mobile Communication Research Laboratory, Southeast University, Nanjing, China;Shanghai Research Center for Wireless Communications, Shanghai, China;PCN CAD Center, Beijing University of Posts and Telecommunications, Beijing, China;PCN CAD Center, Beijing University of Posts and Telecommunications, Beijing, China

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2011

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Abstract

In this paper, we investigate optimal cross-layer design of congestion control, routing, one-hop two-way inter-commodity (OTIC) network coding and scheduling in wireless multi-hop networks utilizing the broadcast advantage of wireless medium. We first present an achievable rate region with OTIC network coding by introducing virtual flow rates in a node. Then we formulate the network utility maximization problem subject to constraints on this achievable rate region, and analyze the complexities of both node- and path-based formulation with no network coding, OTIC network coding, and overhearing network coding. After that, we solve it using dual decomposition and subgradient method. Based on the solution, we present a new queue model, which is able to facilitate the coding operation between two-way commodities, and then propose a backpressure-based cross-layer optimization algorithm with low coding complexity and overhead. Afterwards, we analyze the stability and asymptotical optimality of the proposed cross-layer algorithm by Lyapunov drift technique, and evaluate its performance through extensive simulation. By comparing with the pure routing scheme under both primary and two-hop interference models in an illustrative topology, it is shown that with the proposed joint optimization algorithms, the OTIC network coding can interact adaptively and optimally with other components in different layers and achieve high throughput gain. Simulation of the proposed algorithm in a mesh network with base station and a random ad hoc network justifies that OTIC network coding can obtain considerable throughput gain with low complexity in various kinds of networks.