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Joint network coding and beamforming techniques for downlink channels

Published:28 June 2010Publication History

ABSTRACT

We propose a joint optimization of Network Coding and MIMO techniques to improve the downlink channel throughput of a wireless base station. Specifically, we consider a MIMO base station with multiple transmit antennas that serves multiple users simultaneously by generating multiple signal beams with well-defined beamforming weight vectors where each beam intends for a particular user. Given a large number of users and a small number of transmit antennas, a base station must decide, at any transmission opportunity, which group of users it should transmit packets to, in order to maximize the overall throughput. To that end, we propose a method for grouping users that takes advantages of NC technique and the orthogonality of user channels to improve the overall throughput on both unicast and broadcast transmissions. Our simulation results indicate that the proposed method can efficiently increase the throughput over existing techniques, especially in highly lossy environments.

References

  1. R. Ahlswede, N. Cai, S. R. Li, and R. W. Yeung. Network information flow. IEEE trans. on information theory, 46:1204--1216, Jul. 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. W. Choi, A. Forenza, J. G. Andrews, and R. W. Health. Capacity of opportunistic space division multiple access with beam selection. IEEE GLOBECOM, pages 1--5, Nov. 2006.Google ScholarGoogle ScholarCross RefCross Ref
  3. D. Gesbert, M. Kountouris, R. W. Heath, C. Chae, and T. Salzer. From single user to multiuser communications: shifting the mimo paradigm. IEEE signal processing magazine, 24:36--46, Sep. 2007.Google ScholarGoogle Scholar
  4. K. Huang, J. G. Andrews, and R. W. Heath. Performance of orthogonal beamforming for sdma with limited feedback. IEEE trans. on vehicular technology, 58:152--164, Jan. 2009.Google ScholarGoogle Scholar
  5. J. Liberti and T. Rappaport. Smart antennas for wireless communications: IS-95 and third generation CDMA applications. Prentice Hall Inc, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. D. Nguyen, T. Tran, T. Nguyen, and B. Bose. Wireless broadcast using network coding. IEEE trans. on vehicular technology, 2:914--925, Feb. 2009.Google ScholarGoogle Scholar
  7. P. Viswanath and D. Tse. Sum capacity of the vector gaussian broadcast channel and uplink-downlink duality. IEEE trans. on information theory, 49:1912--1921, Oct. 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. H. Yin and H. Liu. Performance of space-division multiple-access (sdma) with scheduling. IEEE trans. on wireless communications, 1:611--618, Oct. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. T. Yoo and A. Goldsmith. Optimality of zero-forcing beamforming with multiuser diversity. IEEE ICC, 1:542--546, May 2005.Google ScholarGoogle Scholar
  10. T. Yoo and A. Goldsmith. On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. IEEE journal in selected areas in communications, 24:528--541, Mar. 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Joint network coding and beamforming techniques for downlink channels

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        cover image ACM Other conferences
        IWCMC '10: Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
        June 2010
        1371 pages
        ISBN:9781450300629
        DOI:10.1145/1815396

        Copyright © 2010 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 28 June 2010

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