Convex Optimization
Design of VQ-Based Hybrid Digital-Analog Joint Source-Channel Codes for Image Communication
DCC '05 Proceedings of the Data Compression Conference
Quantizer optimization in hybrid digital-analog transmission of analog source signals
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
IEEE Transactions on Signal Processing
Design and Analysis of MIMO Spatial Multiplexing Systems With Quantized Feedback
IEEE Transactions on Signal Processing
Multiaccess fading channels. II. Delay-limited capacities
IEEE Transactions on Information Theory
Optimum power control over fading channels
IEEE Transactions on Information Theory
Hybrid digital-analog (HDA) joint source-channel codes for broadcasting and robust communications
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Multiple-antenna channel hardening and its implications for rate feedback and scheduling
IEEE Transactions on Information Theory
Source-channel diversity for parallel channels
IEEE Transactions on Information Theory
Approximately universal codes over slow-fading channels
IEEE Transactions on Information Theory
The MIMO ARQ Channel: Diversity–Multiplexing–Delay Tradeoff
IEEE Transactions on Information Theory
Explicit Space–Time Codes Achieving the Diversity–Multiplexing Gain Tradeoff
IEEE Transactions on Information Theory
On the Distortion SNR Exponent of Hybrid Digital–Analog Space–Time Coding
IEEE Transactions on Information Theory
Diversity–Multiplexing Tradeoff in MIMO Channels With Partial CSIT
IEEE Transactions on Information Theory
Joint Source–Channel Codes for MIMO Block-Fading Channels
IEEE Transactions on Information Theory
Bennett's integral for vector quantizers
IEEE Transactions on Information Theory
What is the value of limited feedback for MIMO channels?
IEEE Communications Magazine
Hybrid digital-analog relaying for cooperative transmission over slow fading channels
IEEE Transactions on Information Theory
Hi-index | 35.74 |
The problem of source-channel coding over a multiple-antenna (MIMO) channel with quantized channel state information at the transmitter (CSIT) is considered. Upper bounds on the distortion exponents achieved with partial CSIT under a long-term power constraint are developed. It is shown that the distortion exponent with perfect CSIT grows unbounded as the ratio between the channel and source bandwidth increases, while the exponent achieved with any feedback link of fixed, finite resolution is bounded above by a polynomial of the product between the number of transmit and number of receive antennas. The resolution of the feedback link should grow with the bandwidth ratio to make the distortion exponent scale as fast as that in the perfect-CSIT case. We show that in order to achieve the optimal scaling the CSIT feedback resolution must grow logarithmically with the bandwidth ratio for MIMO channels, and faster than linear for the single-input single-output channel. The achievable distortion exponent of some hybrid schemes with heavily quantized feedback is also derived. The results demonstrate that dramatic performance improvement over the case of no CSIT can be achieved by combining simple schemes with a very coarse CSIT feedback.