• DocumentCode
    2138929
  • Title

    Almost as good as single-hop full-duplex: bidirectional end-to-end known interference cancellation

  • Author

    Wang, Fanzhao ; Guo, Lei ; Wang, Shiqiang ; Yu, Yao ; Song, Qingyang ; Jamalipour, Abbas

  • Author_Institution
    School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    1932
  • Lastpage
    1937
  • Abstract
    There is growing interest in new physical-layer transmission methods based on known-interference cancellation (KIC). These KIC-based methods share the common idea that the interference can be cancelled when the bit-sequence of it is known, which can improve the efficiency of wireless data communications. Existing work on KIC mainly focuses on single-hop or two-hop networks, with physical-layer network coding (PNC) and full-duplex (FD) communications as typical examples. This paper extends the idea of KIC to multi-hop networks, and proposes a bidirectional end-to-end KIC (BE2E-KIC) transmission method for the scenario where two nodes intend to exchange packets through multiple intermediate nodes. With BE2E-KIC, the involved nodes can simultaneously transmit and receive on the same channel. We first discuss the procedure of BE2E-KIC and provide a theoretical analysis on its feasibility and effectiveness. Then, we propose a medium access control (MAC) scheme that supports BE2E-KIC, which schedules packet transmissions in more realistic cases with the presence of packet-loss. Simulation results illustrate that BE2E-KIC can improve the network throughput and reduce the end-to-end delay compared with other existing transmission methods.
  • Keywords
    Artificial neural networks; Interference; Silicon; Spread spectrum communication; Throughput; Topology; Wireless communication; Full duplex (FD); known-interference cancellation (KIC); medium access control (MAC); physical-layer network coding (PNC); wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7248608
  • Filename
    7248608