On the problem of bandwidth partitioning in FDD block-fading single-user MISO/SIMO systems
EURASIP Journal on Advances in Signal Processing
Quantized transmit beamforming with antenna selection in a MIMO channel
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
QAM and PSK codebooks for limited feedback MIMO beamforming
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Design and analysis of MIMO joint source channel coding (JSCC) with limited feedback
IEEE Transactions on Wireless Communications
Reduced feedback SDMA based on subspace packings
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Performance of vector perturbation multiuser MIMO systems with limited feedback
IEEE Transactions on Communications
Capacity of a multiple-antenna fading channel with a quantized precoding matrix
IEEE Transactions on Information Theory
Reflected simplex codebooks for limited feedback MIMO beamforming
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Game-theoretic approach to joint transmitter adaptation and power control in wireless systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Sum-rate maximizing beamforming in multicell systems with limited feedback
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Training-feedback tradeoff in closed-loop synchronous DS-CDMA systems with adaptive user sequences
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Optimization of training and feedback overhead for beamforming over block fading channels
IEEE Transactions on Information Theory
Wireless Personal Communications: An International Journal
| Hi-index | 755.02 |
We study the performance of joint signature-receiver optimization for direct-sequence code-division multiple access (DS-CDMA) with limited feedback. The receiver for a particular user selects the signature from a signature codebook, and relays the corresponding B index bits to the transmitter over a noiseless channel. We study the performance of a random vector quantization (RVQ) scheme in which the codebook entries are independent and isotropically distributed. Assuming the interfering signatures are independent, and have independent and identically distributed (i.i.d.) elements, we evaluate the received signal-to-interference plus noise ratio (SINR) in the large system limit as the number of users, processing gain, and feedback bits B all tend to infinity with fixed ratios. This SINR is evaluated for both the matched filter and linear minimum mean-squared error (MMSE) receivers. Furthermore, we show that this large system SINR is the maximum that can be achieved over any sequence of codebooks. Numerical results show that with the MMSE receiver, one feedback bit per signature coefficient achieves close to single-user performance. We also consider a less complex and suboptimal reduced-rank signature optimization scheme in which the user's signature is constrained to lie in a lower dimensional subspace. The optimal subspace coefficients are scalar-quantized and relayed to the transmitter. The large system performance of the quantized reduced-rank scheme can be approximated, and numerical results show that it performs in the vicinity of the RVQ bound. Finally, we extend our analysis to the scenario in which a subset of users optimize their signatures in the presence of random interference.