Coordinated beamforming for multiuser MISO interference channel under rate outage constraints

IEEE Transactions on Signal Processing

Volumn 61, Issue 5, 2013, Pages 1087-1103

  Li, Wei Chiang ^a   Chang, Tsung Hui ^b   Lin, Che ^a   Chi, Chong Yung ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Convex optimization; coordinated beamforming; interference channel; outage probability; semidefinite relaxation

Indexed keywords

APPROXIMATION METHODS; BEAM FORMERS; BRUTE-FORCE APPROACH; CHANNEL DISTRIBUTION INFORMATIONS; COMPUTATIONALLY EFFICIENT; CONVEX APPROXIMATION; COORDINATED BEAMFORMING; DESIGN PROBLEMS; EXHAUSTIVE SEARCH; FIRST-ORDER APPROXIMATIONS; GEOMETRIC MEAN; HARMONIC MEAN; HIGH QUALITY; INTERFERENCE CHANNELS; MESSAGE EXCHANGE; MISO INTERFERENCE CHANNELS; MULTI-USER; MULTIPLE INPUT SINGLE OUTPUTS; NONCONVEX; NONCONVEX OPTIMIZATION PROBLEM; OPTIMIZATION PROBLEMS; OUTAGE PROBABILITY; POWER CONSTRAINTS; SEMIDEFINITE RELAXATION; STATIONARY POINTS; SUCCESSIVE CONVEX APPROXIMATIONS; WEIGHTED SUM-RATE;

APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; CONVEX OPTIMIZATION; DESIGN; OUTAGES; SIGNAL INTERFERENCE; TRANSMITTERS;

BEAMFORMING;

EID: 84873625214     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2012.2231080     Document Type: Article

References (34)

1. W.-C. Li, T.-H. Chang, C. Lin, and C.-Y. Chi, "A convex approximation approach to weighted sum rate maximization of multiuser MISO interference channel under outage constraints," in Proc. IEEE ICASSP, Prague, Czech Republic, May 22-27, 2011, pp. 3368-3371.
2. H. Zhang, N. B. Mehta, A. F. Molisch, J. Zhang, and H. Dai, "Asynchronous interference mitigation in cooperative base station systems," IEEE Trans. Wireless Commun., vol. 7, pp. 155-165, Jan. 2008.
3. D. Gesbert, S. Hanly, H. Huang, S. S. Shitz, O. Simeone, andW. Yu, "Multi-cell MIMO cooperative networks: A new look at interference," IEEE J. Sel. Areas Commun., vol. 28, pp. 1380-1408, Dec. 2010.
4. E. Björnson, N. J. Jaldén, M. Bengtsson, and B. Ottersten, "Optimality properties, distributed strategies, and measurement-based evaluation of coordinated multicell OFDMA transmission," IEEE Trans. Signal Process., vol. 59, pp. 6086-6101, Dec. 2011.
5. H. Dahrouj and W. Yu, "Coordinated beamforming for the multicell multi-antenna wireless system," IEEE Trans. Wireless Commun., vol. 9, pp. 1748-1759, May 2010.
6. L. Ventruino, N. Prasad, and X.-D. Wang, "Coordinated linear beamforming in downlink multi-cell wireless networks," IEEE Trans. Wireless Commun., vol. 9, pp. 1451-1461, Apr. 2010.
7. L. Ventruino, N. Prasad, and X.-D. Wang, "Coordinated scheduling and power allocation in downlink multicell OFDMA networks," IEEE Trans. Veh. Technol., vol. 58, pp. 2835-2848, Jul. 2009.
8. A. B. Carleial, "Interference channels," IEEE Trans. Inf. Theory, vol. 24, pp. 60-70, Jan. 1978.
9. X. Shang and B. Chen, "Achievable rate region for downlink beamforming in the presence of interference," in Proc. Asilomar Conf. Signals, Syst., Comput., Pacific Grove, CA, Nov. 4-7, 2007, pp. 1684-1688.
10. V. S. Annapureddy and V. V. Veeravalli, "Sum capacity of MIMO interference channels in the low interference regime," IEEE Trans. Inf. Theory, vol. 57, pp. 2565-2581, May 2011.
11. E. G. Larsson, E. A. Jorswieck, J. Lindblom, and R. Mochaourab, "Game theory and the flat-fadingGaussian interference channel," IEEE Signal Process. Mag., vol. 26, pp. 18-27, Sep. 2009.
12. E. A. Jorswieck, E. G. Larsson, and D. Danev, "Complete characterization of the Pareto boundary for the MISO interference channel," IEEE Trans. Signal Process., vol. 56, pp. 5292-5296, Jul. 2008.
13. X. Shang, B. Chen, and H. V. Poor, "Multiuser MISO interference channels with single-user detection: Optimality of beamforming and the achievable rate region," IEEE Trans. Inf. Theory, vol. 57, pp. 4255-4273, Jul. 2011.
14. R. Mochaourab and E. A. Jorswieck, "Optimal beamforming in interference networks with perfect local channel information," IEEE Trans. Signal Process., vol. 59, pp. 1128-1141, Mar. 2011.
15. Y.-F. Liu and Z.-Q. Luo, "Coordinated beamforming for MISO interference channel: Complexity analysis and efficient algorithms," IEEE Trans. Signal Process., vol. 59, pp. 1142-1157, Mar. 2011.
16. R. Zakhour and D. Gesbert, "Coordination on the MISO interference channel using the virtual SINR framework," in Proc. Int. ITG Workshop Smart Antennas, Berlin, Germany, Feb. 16-18, 2009, pp. 1-7.
17. R. Zhang and S. Cui, "Cooperative interference management with MISO beamforming," IEEE Trans. Signal Process., vol. 58, pp. 5450-5458, Oct. 2010.
18. E. G. Larsson and E. A. Jorswieck, "Competition versus cooperation on the MISO interference channel," IEEE J. Sel. Areas Commun., vol. 26, pp. 1059-1069, Sep. 2008.
19. D. A. Schmidt, C. Shi, R. A. Berry, M. L. Honig, and W. Utschick, "Distributed resource allocation schemes: Pricing algorithms for power control and beamformer design in interference networks," IEEE Signal Process. Mag., vol. 26, pp. 53-63, Sep. 2009.
20. E. Björnson, R. Zakhour, D. Gesbert, and B. Ottersten, "Cooperative multicell precoding: Rate region characterization and distributed strategies with instantaneous and statistical CSI," IEEE Trans. Signal Process., vol. 58, pp. 4298-4310, Aug. 2010.
21. E. Karipidis, A. Gründinger, J. Lindblom, and E. G. Larsson, "Pareto-optimal beamforming for the MISO interference channel with partial CSI," in Proc. 3rd IEEE Int. Workshop Comput. Adv. Multi-Sens. Adapt. Process., Aruba, Dutch Antilles, Dec. 13-16, 2009, pp. 5-8.
22. J. Lindblom, E. Karipidis, and E. G. Larsson, "Outage rate regions for theMISO IFC," in Proc. Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, Nov. 1-4, 2009, pp. 1120-1124.
23. J. Lindblom, E. Karipidis, and E. G. Larsson, "Outage rate regions for the MISO interference channel: Definitions and interpretations," [Online]. Available: http://arxiv.org/abs/1106.5615v1
24. S. Kandukuri and S. Boyd, "Optimal power control in interference-limited fading wireless channels with outage-probability specifications," IEEE Trans. Wireless Commun., vol. 1, pp. 46-55, Jan. 2002. (Pubitemid 44357930)
25. S. Ghosh, B. D. Rao, and J. R. Zeidler, "Outage-efficient strategies for multiuser MIMO networks with channel distribution information," IEEE Trans. Signal Process., vol. 58, pp. 6312-6324, Dec. 2010.
26. Z.-Q. Luo, W.-K.Ma, A. M.-C. So,Y.Ye, and S.Zhang, "Semidefinite relaxation of quadratic optimization problems," IEEE Signal Process. Mag., vol. 27, pp. 20-34, May 2010.
27. J. Mo and J.Walrand, "Fair end-to-end window-based congestion control," IEEE/ACM Trans. Netw., vol. 8, pp. 556-567, Oct. 2000. (Pubitemid 32017921)
28. T. Bonald and L. Massoulié, "Impact of fairness on internet performance," in Proc. ACM SIGMETRICS, Cambridge, MA, Jun. 16-20, 2001, pp. 82-91. (Pubitemid 32865925)
29. Z.-Q. Luo and T.-H. Chang, "SDP relaxation of homogeneous quadratic optimization: Approximation bounds and applications," in Convex Optimization in Signal Processing and Communications, D. P. Palomar and Y. C. Eldar, Eds. Cambridge, U.K.: Cambridge Univ. Press, 2010, ch. 4.
30. M. Grant and S. Boyd, CVX: Matlab Software for Disciplined Convex Programming, Version 1.21 [Online]. Available: http://cvxr.com/cvx Apr. 2011
31. Y. Huang and D. P. Palomar, "Rank-constrained separable semidefinite programming with applications to optimal beamforming," IEEE Trans. Signal Process., vol. 58, pp. 664-678, Feb. 2010.
32. B. R. Marks and G. P. Wright, "A general inner approximation algorithm for nonconvex mathematical programs," Operat. Res., vol. 26, pp. 681-683, 1978.
33. D. P. Bertsekas, A. Nedi?, and A. E. Ozdaglar, Convex Analysis and Optimization. Cambridge, MA: Athena Scientific, 2003.
34. R. A. Gamboa and B. Middleton, "Taylor's formula with remainder," presented at the 3rd Int. Workshop ACL2 Theorem Prover and Its Appl., Grenoble, France, April 8-9, 2002.