|
[1] A. B. Carleial, “Interference channels,” IEEE Trans. Inf. Theory, vol. 24, pp. 60 – 70, 1978. [2] M. Karakayali, G. Foschini, and R. Valenzuela, “Network coordination for spectrally efficient communications in cellular systems,” IEEE Trans. Wireless Commun., pp. 56 – 61, 2006. [3] S. Venkatesan, A. Lozano, and R. Valenzuela, “Network MIMO : Overcoming intercell interference in indoor wireless systems,” Proc. IEEE ACSSC’07, pp. 83–87, 2007. [4] D. Gesbert, S. Hanly, H. Huang, S. Shamai Shitz, O. Simeone, and W. Yu, “Multi-cell MIMO cooperative networks: A new look at interference,” IEEE J. Sel. Areas Commun., vol. 28, pp. 1380 – 1408, 2010. [5] E. Jorswieck, E. Larsson, and D. Danev, “Complete characterization of the Pareto boundary for the MISO interference channel,” Signal Processing, IEEE Transactions on, vol. 56, no. 10, pp. 5292–5296, Oct 2008. [6] X. Shang, B. Chen, and H. 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, 2011. [7] R. Mochaourab and E. Jorswieck, “Optimal beamforming in interference networks with perfect local channel information,” IEEE Trans. Signal Process., vol. 59, no. 3, pp. 1128–1141, March 2011. [8] Y.-F. Liu, Y.-H. Dai, and Z.-Q. Luo, “Coordinated beamforming for MISO interference channel: Complexity analysis and efficient algorithms,” IEEE Trans. Signal Process., vol. 59, pp. 1142 – 1157, 2011. [9] R. Zakhour and D. Gesbert, “Coordination on the MISO interference channel using the virtual SINR framework,” Proc. Int. ITG Workshop Smart Antennas, Berlin, Germany, pp. 1–7, Feb 2009. [10] R. Zhang and S. Cui, “Cooperative interference management with MISO beamforming,” IEEE Trans. Signal Process., vol. 58, pp. 5450–5458, 2010. [11] D. A. Schmidt, C. Shi, R. A. Berry, M. L. Honig, and W. Utschick, “Distributed resource al- location schemes: Pricing algorithms for power control and beamformer design in interference networks,” IEEE Signal Process. Mag, vol. 26, pp. 53–63, 2009. [12] J. Lindblom, E. Karipidis, and E. Larsson, “Outage rate regions for the MISO IFC,” in 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, Nov 2009, pp. 1120–1124. [13] E.Bjornson,R.Zakhour,D.Gesbert,andB.Ottersten,“Cooperative multicell precoding : Rate-region characterization and distributed strategies with instantaneous and statistical CSI,” IEEE Trans. Signal Process., vol. 58, pp. 4298–4310, 2010. [14] S. V. Hanly and D. N. C. Tse, “Multiaccess fading channels– part II: Delay-limited capacities,” IEEE Trans. Inf. Theory, vol. 44, no. 7, pp. 2816–2831, Nov. 1998. [15] S. Kandukuri and S. Boyd, “Optimal power control in interference-limited fading wireless channels with outage-probability specifications,” IEEE Trans. Wireless Commun., vol. 1, no. 1, pp. 46–55, Jan 2002. [16] S. Ghosh, B. Rao, and J. Zeidler, “Outage-efficient strategies for multiuser MIMO networks with channel distribution information,” IEEE Trans. Signal Process., vol. 58, no. 12, pp. 6312–6324, Dec 2010. [17] W.-C. Li, T.-H. Chang, C. Lin, and C.-Y. Chi, “Coordinated beamforming for multiuser MISO interference channel under rate outage constraints,” IEEE Trans. Signal Process., vol. 61, no. 5, pp. 1087–1103, March 2013. [18] I.-H. Wang, C. Suh, S. Diggavi, and P. Viswanath, “Bursty interference channel with feedback,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), pp. 21–25, 2013. [19] N. Khude, V. Prabhakaran, and P. Viswanath, “Harnessing bursty interference,” in Proc. IEEE Inf. Theory Workshop (ITW 2009), Volos, Greece, Jun 2009. [20] N. Khude, V. Prabhakaran, and P. Viswanath, “Opportunistic interference management,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), pp. 2076 – 2080, 2009. [21] Z.-Q. Luo and T.-H. Chang, SDP relaxation of homogeneous quadratic optimization: Approximation bounds and applications. [22] J. Mo and J. Walrand, “Fair end-to-end window-based congestion control,” IEEE/ACM Trans. Netw., vol. 8, pp. 556–567, 2000. [23] Z.-Q. Luo, W.-K. Ma, A. M.-C. So, Y. Ye, and S. Zhang, “Semidefinite relaxation of quadratic optimization problems,” IEEE Trans. Signal Process. Mag, vol. 27, no. 3, pp. 20 –34, May 2010. [24] M.Grant and S.Boyd,“CVX:Matlab software for disciplined convex programming,version2.1,” 2015, http://cvxr.com/cvx. [25] Y. Huang and D. Palomar, “Rank-constrained separable semidefinite programming with applications to optimal beamforming,” IEEE Trans. Signal Process., vol. 58, no. 2, pp. 664–678, Feb 2010. [26] J. G. Proakis and M. Salehi, Digital Communications, 5th ed. McGraw-Hill, 2007. [27] E. Karipidis, A. Grundinger, J. Lindblom, and E. G. Larsson, “Pareto-optimal beamforming for the miso interference channel with partial CSI,” 2009 3rd IEEE International Workshop on Com- putational Advances in Multi-Sensor Adaptive Processing, 2009. [28] B. R. Marks and G. P. Wright, “Technical note—a general inner approximation algorithm for nonconvex mathematical programs,” Operations Research, vol. 26, no. 4, pp. 681–683, 1978. [29] D. P. Bertsekas, A. Nedi ́c, and A. E. Ozdaglar, Convex Analysis and Optimization. Cambridge, Massachusetts: Athena Scientific, 2003. [30] R. A. Gamboa and B. Middleton, Taylor’s Formula with Remainder, Grenoble, France, April 8-9, 2002.
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