Robust precoding for joint transmission in multicell multiuser downlink systems

Robust precoding for joint transmission in multicell multiuser downlink systems

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This study considers the joint transmission precoding design for downlink multicell multiuser multiple-input single-output systems where imperfect channel variances are available at the base stations. The authors aim to tackle the robust signal-to-interference-plus-noise ratio (SINR) balancing problem to maximise the minimum worst-case user rate. To solve the non-convex problem, a duality relationship between the downlink max–min worst-case SINR optimisation problem and the virtual uplink min–max worst-case SINR optimisation problem is first revealed. Based on this, a new algorithm is developed to solve the virtual problem by using jointly the sub-gradient method and the geometric programming methods, whose achieved solution is finally converted to the downlink. Their analysis shows that the proposed algorithm is guaranteed to converge and has lower computational complexity than conventional approaches. Moreover, computer simulations validate the effectiveness of the proposed method and show that the proposed algorithm has fast convergence and achieves a performance close to that of the brute search method.


    1. 1)
      • 1. Zhang, H., Dai, H.: ‘Cochannel interference mitigation and cooperative processing in downlink multicell multiuser MIMO networks’, EURASIP J. Wirel. Commun. Netw., 2004, 2, (12), pp. 222235.
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
      • 14. Wang, J., Bengtsson, M., Ottersten, B., Palomar, D.: ‘Robust MIMO precoding for several classes of channel uncertainty’, IEEE Trans. Signal Process., 2013, 61, (2), pp. 30563070.
    15. 15)
    16. 16)
      • 16. Li, J., Lu, I., Lu, E.: ‘Robust MMSE transceiver designs for downlink MIMO systems with multicell cooperation’, J. Dig. Multimedia Broadcast., 2010, 2010, ID. 815704, pp. 19.
    17. 17)
    18. 18)
    19. 19)
      • 19. Biguesh, M., Shahbazpanahi, S., Gershman, A.: ‘Robust power adjustment for transmit beamforming in cellular communication systems’. Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Hong Kong, 2003, vol. 4, no. 5, pp. 105108.
    20. 20)
    21. 21)
      • 21. Biguesm, H., Shahbazpanahi, S., Gershman, A.: ‘Robust downlink power control in wireless cellular systems’, EURASIP J. Wirel. Commun. Netw., 2004, 2, pp. 261272.
    22. 22)
      • 22. Bengtsson, M., Ottersten, B.: ‘Optimal downlink beamforming using semidefinite optimization’. Proc. 37th Annual Allerton Conf. Communications, Control and Computing, 1999, vol. 9, pp. 987996.
    23. 23)
    24. 24)
    25. 25)
      • 25. Golub, G., Loan, C.: ‘Matrix computations’ (The John Hopkins University Press, Baltimore, MD, 1996, 3rd edn.).
    26. 26)
    27. 27)
      • 27. Boyd, S., Vandenberghe, L.: ‘Convex optimization’ (Cambridge University Press, Cambridge, UK, 2004).
    28. 28)
    29. 29)
      • 29. Zhang, L., Zhang, R., Liang, Y.: ‘On Gaussian MIMO BC-MAC duality with multiple transmit covariance constraints’. ISIT, Seoul, Korea, 2009, pp. 25022506.
    30. 30)
    31. 31)
      • 31. 3GPP TR25.996 v.8.0.0 Release 8: ‘Spatial channel model for multiple input multiple output (MIMO) simulations’. 3GPP, Technical Report, January2009.

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