TY - JOUR
T1 - Performance analysis for RUB-based multiuser MIMO systems with antenna diversity techniques
AU - Lu, Peng
AU - Yang, Hong Chuan
AU - Ko, Young Chai
N1 - Funding Information:
Manuscript received August 22, 2008; revised November 26, 2008, March 19, 2009, June 6, 2009, and July 15, 2009. First published September 29, 2009; current version published January 20, 2010. This paper was presented in part at the IEEE Global Communications Conference, New Orleans, LA, November 30–December 4, 2008. This work was supported in part by startup funds from the University of Victoria and in part by a Discovery Grant from the National Science and Engineering Research Council of Canada. The review of this paper was coordinated by Prof. E. Bonek.
PY - 2010/1
Y1 - 2010/1
N2 - Random unitary beamforming (RUB) is an attractive low-complexity transmission scheme for multiple-inputmultiple-output (MIMO) broadcast channels. In this paper, we study the sum-rate performance of RUB-based multiuser MIMO systems with receive diversity. Two combining techniques, i.e., selection combining (SC) and optimum combining (OC), are employed to reduce feedback load and improve sum-rate performance. With these combining techniques, each user only needs to feed back one beam index and the corresponding output signal-to-interference-plus-noise ratio (SINR). For the SC scheme, we derive the statistics of the output SINR and the exact analytical expression of the sum rate. For the OC scheme, we develop an upper bound of the sum rate in the high-signal-to-noise-ratio (SNR) region. The bound is shown to be tight for the case of a moderate number of users, but the number of users must be at least five times the number of transmit antennas. Selected numerical examples show that the proposed design greatly enhances the sum-rate performance while maintaining low feedback load.
AB - Random unitary beamforming (RUB) is an attractive low-complexity transmission scheme for multiple-inputmultiple-output (MIMO) broadcast channels. In this paper, we study the sum-rate performance of RUB-based multiuser MIMO systems with receive diversity. Two combining techniques, i.e., selection combining (SC) and optimum combining (OC), are employed to reduce feedback load and improve sum-rate performance. With these combining techniques, each user only needs to feed back one beam index and the corresponding output signal-to-interference-plus-noise ratio (SINR). For the SC scheme, we derive the statistics of the output SINR and the exact analytical expression of the sum rate. For the OC scheme, we develop an upper bound of the sum rate in the high-signal-to-noise-ratio (SNR) region. The bound is shown to be tight for the case of a moderate number of users, but the number of users must be at least five times the number of transmit antennas. Selected numerical examples show that the proposed design greatly enhances the sum-rate performance while maintaining low feedback load.
KW - Multiple-input-multiple-output (MIMO) broadcast channels
KW - Optimum combining (OC)
KW - Random unitary beamforming (RUB)
KW - Selection combining (SC)
KW - Sum-rate analysis
UR - http://www.scopus.com/inward/record.url?scp=76849102591&partnerID=8YFLogxK
U2 - 10.1109/TVT.2009.2033226
DO - 10.1109/TVT.2009.2033226
M3 - Article
AN - SCOPUS:76849102591
SN - 0018-9545
VL - 59
SP - 490
EP - 494
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 1
M1 - 5272671
ER -