Matrix analysis
Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators
Artificial Intelligence Review
TSP Cuts Which Do Not Conform to the Template Paradigm
Computational Combinatorial Optimization, Optimal or Provably Near-Optimal Solutions [based on a Spring School]
DCC '06 Proceedings of the Data Compression Conference
Quantization on the Complex Projective Space
DCC '06 Proceedings of the Data Compression Conference
Limited feedback precoding for spatial multiplexing systems using linear receivers
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Design and Analysis of MIMO Spatial Multiplexing Systems With Quantized Feedback
IEEE Transactions on Signal Processing
On the capacity of some channels with channel state information
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach
IEEE Transactions on Information Theory
Feedback rate-capacity loss tradeoff for limited feedback MIMO systems
IEEE Transactions on Information Theory
What is the value of limited feedback for MIMO channels?
IEEE Communications Magazine
Design and analysis of multi-user SDMA systems with noisy limited CSIT feedback
IEEE Transactions on Wireless Communications
| Hi-index | 754.85 |
In this paper, we propose two robust limited feedback designs for multiple-input multiple-output (MIMO) adaptation. The first scheme, namely, the combined design jointly optimizes the adaptation, CSIT (channel state information at the transmitter) feedback as well as index assignment strategies. The second scheme, namely, the decoupled design, focuses on the index assignment problem given an error-free limited feedback design. Simulation results show that the proposed framework has significant capacity gain compared to the naive design (designed assuming there is no feedback error). Furthermore, for large number of feedback bits Cfb, we show that under two-nearest constellation feedback channel assumption, the MIMO capacity loss (due to noisy feedback) of the proposed robust design scales like O(Pe2-Cfb/t+1 for some positive integer t. Hence, the penalty due to noisy limited feedback in the proposed robust design approaches zero as Cfb increases.