Constrained power allocation schemes for coordinated base station transmission using block diagonalization

Eurasip Journal on Wireless Communications and Networking

Volumn 2011, Issue 1, 2011, Pages

  García Armada, Ana ^a   Sánchez Fernández, Matilde ^a   Corvaja, Roberto ^b  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

block diagonalization; coordinated base stations; multiple antennas; network MIMO

Indexed keywords

ANTENNAS; CHANNEL STATE INFORMATION; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPLEX NETWORKS; CONVEX OPTIMIZATION; MIMO SYSTEMS;

BASE STATION POWER; BLOCK DIAGONALIZATION; DOWNLINK TRANSMISSIONS; IMPERFECT CHANNEL STATE INFORMATION; MULTI-CELL SCENARIOS; MULTIPLE ANTENNA; NETWORK MIMO; OPTIMAL SOLUTIONS;

BASE STATIONS;

EID: 84964311459     PISSN: 16871472     EISSN: 16871499     Source Type: Journal    
DOI: 10.1186/1687-1499-2011-125     Document Type: Article

References (26)

1. Foschini G, Gans M: On limits of wireless communications in a fading environment when using multiple antennas. Wireless Pers Commun 1998, 6(3):311-335. 10.1023/A:1008889222784
2. Gesbert D, Kiani S, Gjendemsj A, Ien G: Adaptation, coordination, and distributed resource allocation in interference-limited wireless networks. Proc IEEE 2007, 95(12):2393-2409.
3. Shim S, Kwak JS, Heath JRW, Andrews J: Block diagonalization for multi-user MIMO with other-cell interference. IEEE Trans Wireless Commun 2008, 7(7):2671-2681.
4. Andrews J, Choi W, Heath R: Overcoming interference in spatial multiplexing MIMO cellular networks. IEEE Wireless Commun 2007, 14(6):95-104.
5. Shamai S, Zaidel B: Enhancing the cellular downlink capacity via co-processing at the transmitting end. Proceedings of IEEE Vehicular Technology Conference (Rhodes, Greece) 2001, 1745-1749.
6. Karakayali M, Foschini G, Valenzuela R: Network coordination for spectrally efficient communications in cellular systems. IEEE Wireless Commun 2006, 13(4):56-61. 10.1109/MWC.2006.1678166
7. Zhang H, Dai H: Cochannel interference mitigation and cooperative processing in downlink multicell multiuser MIMO networks. EURASIP J Wireless Commun Netw 2004, 2004(2):222-235.
8. Spencer QH, Swindlehurst AL, Haardt M: Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels. IEEE Trans Signal Process 2004, 52(2):461-471. 10.1109/TSP.2003.821107
9. Lim BC, Krzymien W, Schlegel C: Efficient sum rate maximization and resource allocation in block-diagonalized space-division multiplexing. IEEE Trans Vehicular Technol 2009, 58: 478-484.
10. Zhang J, Chen R, Andrews J, Ghosh A, Heath R: Networked MIMO with clustered linear precoding. IEEE Trans Wireless Commun 2009, 8(4):1910-1921.
11. Liu W, Ng S, Hanzo L: Multicell cooperation based SVD assisted multi-user mimo transmission. Proceedings of IEEE Vehicular Technology Conference (Barcelona, Spain) 2009, 1-5.
12. Marsch P, Fettweis G: On base station cooperation schemes for downlink network MIMO under a constrained Backhaul. In Proceedings of IEEE Global Communications Conference. Stoneham, Butterworth-Heinemann, New Orleans, USA; 2008:1-6.
13. Yu W, Lan T: Transmitter optimization for the multi-antenna downlink with per-antenna power constraints. IEEE Trans Signal Process 2007, 55(6):2646-2660.
14. Gallager RG: Information Theory and Reliable Communication. Wiley, New York; 1968.
15. Cheng RS, Verdu S: Gaussian multiaccess channels with ISI: capacity region and multiuser water-filling. IEEE Trans Inf Theory 1993, 39(3):773-785. 10.1109/18.256487
16. Yu W, Rhee W, Boyd S, Cioffi J: Iterative water-filling for gaussian vector multiple access channels. IEEE Trans Inf Theory 2004, 50: 145-151. 10.1109/TIT.2003.821988
17. García-Armada A, Sanchez-Fernández M, Corvaja R: Waterfilling schemes for zero-forcing coordinated base station transmission. Proceedings of IEEE Global Communications Conferences (Honolulu, USA) 2009, 1-5.
18. Palomar DP, Jiang Y: MIMO Transceiver Design Via Majorization Theory. Foundations and Trends in Communication and Information Theory, MA, USA; 2006.
19. Boyd S, Vandenberghe L: Convex Optimization. Cambridge University Press, New York; 2004.
20. Starr T, Cioffi J, Silverman P: Understanding Digital Subscriber Line Technology. Prentice Hall, New Jersey; 1999.
21. CVX: Matlab Software for Disciplined Convex Programming.2009. [http://cvxr.com/cvx]
22. Boccardi F, Huang H: A near-optimum technique using linear precoding for the MIMO broadcast channel. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (Honolulu, USA) 2007, III-17-III-20.
23. Zamiri-Jafarian H, Pasupathy S: Robust and improved channel estimation algorithm for MIMO-OFDM systems. IEEE Trans Wireless Commun 2007, 6(6):2106-2113.
24. Jakes WC: Microwave Mobile Communications. Wiley, New York; 1975.
25. Ting SH, Sakaguchi K, Araki K: A Markov-Kronecker model for analysis of closed-loop MIMO systems. IEEE Commun Lett 2006, 10(8):617-619. 10.1109/LCOMM.2006.1665129
26. Yoo T, Goldsmith A: On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. IEEE J Selected Areas Commun 2006, 24(3):528-541.