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Power Allocation for Buffer-Aided Full-Duplex Relaying with Imperfect Self-Interference Cancellation Under Delay-Outage Constraint

  • Tho Le-Ngoc
  • Khoa Tran Phan
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

In Chap.  5, we have considered half-duplex (HD) relaying where the relay either transmits or receives in each transmission frame to avoid self-interference (SI) at the expense of low spectral efficiency. Recently-developed SI mitigation methods can leverage the potential full-duplex (FD) relaying, in which a relay can receive and transmit simultaneously over the same frequency. However, SI cannot be completely mitigated in practice. In this chapter, we consider a buffer-aided FD (B-FD) relaying with imperfect SI cancellation, where the non-zero residual SI is assumed to be proportional with parameter β > 0 to the relay transmit power. We investigate two source and relay transmit power allocation problems for effective capacity maximization, which depend on the availability of the channel state information at the transmitters (CSIT).

Keywords

Power Allocation Channel State Information Delay Constraint Effective Capacity Power Allocation Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    T. Riihonen, S. Werner, and R. Wichman, “Hybrid Full-duplex/Half-duplex Relaying with Transmit Power Adaptation,” IEEE Trans. Wireless Commun., vol. 10, no. 9, pp. 3074–3085, Sept. 2011.Google Scholar
  2. 2.
    K. T. Phan, T. Le-Ngoc, and L. Le, “Optimal Resource Allocation for Buffer-Aided Relaying with Statistical QoS Constraint,” IEEE Trans. Commun., vol. 64, no. 3, pp. 959–972, Mar. 2016.Google Scholar
  3. 3.
    T. Riihonen, S. Werner, and R. Wichman, “Comparison of Full-duplex and Half-duplex Modes with a Fixed Amplify-and-Forward Relay,” in Proc. 2009 IEEE WCNC, Budapest, Hungary.Google Scholar
  4. 4.
    H. Q. Ngo, H. A. Suraweera, M. Matthaiou, and E. G. Larsson, “Multipair Full-duplex Relaying with Massive Arrays and Linear Processing,” IEEE J. Sel. Areas Commun., vol. 32, no. 9, pp. 1721–1737, June 2014.Google Scholar
  5. 5.
    M. C. Gursoy, “MIMO Wireless Communications under Statistical Queueing Constraints,” IEEE Trans. Infor. Theory, vol. 57, no. 9, pp. 5897–5917, Sept. 2011.Google Scholar
  6. 6.
    D. Qiao, “The Impact of Statistical Delay Constraints on the Energy Efficiency in Fading Channels,” IEEE Trans. Commun., vol. 15, no. 2, pp. 994–1007, Sept. 2015.Google Scholar
  7. 7.
    M. Luby, “LT Codes,” in Proc. 2002 IEEE Symp. Found. Comp. Sci., Vancouver, BC, Canada.Google Scholar
  8. 8.
    A. Shokrollahi, “Raptor Codes,” IEEE Trans. Infor. Theory, vol. 52, no. 6, pp. 2551–2567, June 2006.Google Scholar
  9. 9.
    J. Casture, and Y. Mao, “Rateless Coding over Fading Channels,” IEEE Commun. Lett., vol. 10, no. 1, pp. 46–48, Jan. 2006.Google Scholar
  10. 10.
    C. W. Tan, M. Chiang, and R. Srikant, “Maximizing Sum Rate and Minimizing MSE on Multiuser Downlink: Optimality, Fast Algorithms, and Equivalence via Max-min SIR,” IEEE Trans. Signal Process., vol. 59, no. 12, pp. 6127–6143, Dec. 2011.Google Scholar
  11. 11.
    D. Wu, and R. Negi, “Effective Capacity: A Wireless Link Model for Support of Quality of Service,” IEEE Trans. Wireless Commun., vol. 2, no. 4, pp. 630–643, Jul. 2003.Google Scholar
  12. 12.
    D. Qiao, M. C. Gursoy, and S. Velipasalar, “Effective Capacity of Two-Hop Wireless Communication Systems,” IEEE Trans. Infor. Theory, vol. 59, no. 2, pp. 873–885, Feb. 2013.Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Tho Le-Ngoc
    • 1
  • Khoa Tran Phan
    • 2
  1. 1.Department of Electrical and Computer EngineeringMcGill UniversityMontrealCanada
  2. 2.Department of Electrical and Computer Systems EngineeringMonash UniversityClaytonAustralia

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