Browse > Article

Adaptive Mode Switching in Correlated Multiple Antenna Cellular Networks  

Lee, Chul-Han (the Oracle Corp.)
Chae, Chan-Byoung (School of Engineering and Applied Sciences, Harvard University)
Vishwanath, Sriram (Wireless Networking and Communications Group (WNCG), Department of Electrical and Computer Engineering, University of Texas at Austin)
Heath, Jr., Robert W. (Wireless Networking and Communications Group (WNCG), Department of Electrical and Computer Engineering, University of Texas at Austin)
Publication Information
Journal of Communications and Networks / v.11, no.3, 2009 , pp. 279-286 More about this Journal
Abstract
This paper proposes an adaptive mode switching algorithm between two strategies in multiple antenna cellular networks:A single-user mode and a multi-user mode for the broadcast channel. If full channel state information is available at the base station, it is known that a multi user transmission strategy would outperform all single-user transmission strategies. In the absence of full side information, it is unclear what the capacity achieving method is, and thus there are few criteria to decide which of the myriad possible methods performs best given a system configuration. We compare a single user transmission and a multi user transmission with linear receivers in this paper where the transmitter and the receivers have multiple antennas, and find that neither strategy dom inates the other. There is instead a transition point between the two strategies. Then, the mode switching point is determined both ana lytically and numerically for a multiple antenna cellular downlink with correlation between transmit antennas.
Keywords
Multiple-iuput multiple-output (MIMO) broadcast channel; partial channel state information; single-user transmission and multi-user transmission;
Citations & Related Records

Times Cited By Web Of Science : 1  (Related Records In Web of Science)
Times Cited By SCOPUS : 1
연도 인용수 순위
1 A. Goldsmith, S. Jafar, N. Jindal, and S. Vishwanath, 'Capacity limits of MIMO channels,' lEEE J. Sel. Areas Cornrnun., vol. 21, no. 5, pp. 684-702, June 2003   DOI   ScienceOn
2 D. A. Gore, R. W. Heath, Jr., and A. J. Paulraj, "Transmit selection in spatial multiplexing systems," lEEE Commun. Lett., vol. 6, pp. 491-493, Nov. 2002   DOI
3 T. AI-Naffouri, M. Sharif, and B. Hassibi, "How much does transmit correlation affect the sum-rate of MIMO downlink channels?" in Proc. lEEE lSlT, July 2006, pp. 1574-1578
4 D. Gore, R. W. Heath, Jr, and A. Paulraj, "On performance of the zero forcing receiver in presence of transmit correlation," in Proc. lEEE lSlT, Lausanne, Switzerland, July 2002, p. 159
5 T. Tang, R. W. Heath, Jr., S. Cho, and S. Yun, 'Opportunistic feedback in multiuser MIMO systems with linear receivers," lEEE Trans. Cornrnun., vol. 55, no. 5, pp. 1020-1032, May 2007
6 Y. Kim, R. Narasimhan, and J. M. Cioffi, 'SUBF vs. MUBF in a Gaussian MIMO broadcast channel with partial channel state information,' in Proc. lEEE lCASSP, vol. 4, Toulouse, France, May 2006, pp. IV-773-IV-776   DOI
7 N. Jindal and A. Goldsmith, 'Dirty-paper coding vs. TDMA for MIMO broadcast channels,"'lEEE Trans. lnf. Theory vol. 51 , no. 5, pp. 1783-1794, May 2005   DOI   ScienceOn
8 S. T. Chung, A. Lozano, and H. C. Huang, “Approaching εigenmode BLAST channel capacity using V-BLAST with rate and power feedback," in Proc. IEEE VTC, vol. 2, Oct. 2001, pp. 915-919
9 B. M. Hochwald, T. L. Marzetta, and V. Tarokh, "Multiple-antenna channel hardening and its implications for rate feedback and scheduling ，" lEEE Trans. Inf. Theory, vol. 50, no. 9, pp. 1893-1909, Sept. 2004   DOI   ScienceOn
10 R. W. Heath, Jr., M. Airy, and A. J. Paulraj, 'Multiuser diversity for MIMO wireless systems with linear receivers,' in Proc. lEEE ACSSC, vol. 2, Pacific Grove, CA, Nov. 2001 , pp. 1194-1199
11 D. Tse and P. Viswanath, Fundarnentals of Wireless Cornrnunications. Cambridge University Press, 2005
12 A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications, 1st ed. Cambridge, U.K.:Cambridge Univ. Press, 2003
13 S. Resnick, Extrerne Values, Regular Variation, and Point Processes. New York: Springer-Verlag, 1987
14 Q. Spencer, A. Swindlehurst, and M. Haardt, "Zero-forcing methods for downlink spatial multiplexing in multi-user MIMO channels," lEEE Trans Signal Process., vol. 52, pp. 461-71, Feb. 2004   DOI   ScienceOn
15 D. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn, "Fading correlation and its effect on the capacity of multi-elemεnt antenna systems," lEEE Trans. Commun., vol. 48, pp. 502-513, Mar. 2000   DOI   ScienceOn
16 G. Caire and S. Shamai, 'On the achievable throughput of a multiantenna Gaussian Broadcast channel,' lEEE Trans. lnf. Theory, vol. 49, no. 7, pp. 1691-1706, 2003   DOI   ScienceOn
17 A. Goldsmith, Wireless Cornrnunications. Cambridge University Press, 2005
18 R. W. Heath, Jr. and A. J. Paulraj, "Switching between diversity and multiplexing in MIMO systems," lEEE Trans. Cornrnun., vol. 53, no. 6, pp. 962-968, June 2005
19 Samsung, "Downlink MIMO for EUTRA," TSG-RAN WG1#44 Meeting, Denver, USA, Doc #RI-060335, Feb. 2006
20 C. Lee, C. B. Chae, S. Vishwanath, and R. W. Heath, Jr., 'Adaptive mode switching in the MIMO broadcast channel,' in Proc. lEEE RWS, Jan. 2008
21 D. Gesbert, M. Kountouris, R. W. Heath, Jr, C. B. Chae, and T. Salzer, 'Shifting the MIMO paradigm,' lEEE Signal Process. Mag., vol. 24, no. 5, pp. 36-46, Oct. 2007   DOI   ScienceOn