Elements of information theory
Elements of information theory
Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
IEEE Transactions on Information Theory
Capacity-achieving input covariance for single-user multi-antenna channels
IEEE Transactions on Wireless Communications
The rate-distortion function for the quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
Capacity and optimal resource allocation for fading broadcast channels .I. Ergodic capacity
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Towards an information theory of large networks: an achievable rate region
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
On the capacity of MIMO relay channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
An Extremal Inequality Motivated by Multiterminal Information-Theoretic Problems
IEEE Transactions on Information Theory
Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem
IEEE Transactions on Information Theory
Communication Via Decentralized Processing
IEEE Transactions on Information Theory
Side information aware coding strategies for sensor networks
IEEE Journal on Selected Areas in Communications
Distributed compression for MIMO coordinated networks with a backhaul constraint
IEEE Transactions on Wireless Communications
Compress-and-forward cooperative MIMO relaying with full channel state information
IEEE Transactions on Signal Processing
Cooperative communications based on rateless network coding in distributed MIMO systems
IEEE Wireless Communications
IEEE Transactions on Information Theory
Hi-index | 754.90 |
A multiple-input multiple-output (MIMO) system with a distributed receiver is considered. The system consists of a nomadic transmitter with several antennas, whose signal is received by multiple agents, exhibiting independent channel gains and an additive circular-symmetric Gaussian noise. In the nomadic regime, we assume that the agents do not have any decoding ability. These agents process their channel observations and forward them to the final destination through unidirectional lossless links with a fixed capacity. We propose new achievable rates based on elementary compression and on Wyner-Ziv (WZ)or chief executive officer (CEO) processing, for both fast-fading and block-fading channels, as well as for general discrete channels. The simpler two agents scheme is solved, up to an implicit equation with a single variable. Limiting the nomadic transmitter to circulari-symmetric Gaussian signaling, new upper bounds are derived, based on the vector version of the entropy power inequality. Several asymptotic settings are analyzed. In addition, the upper bounds are analytically shown to be tight for several examples, while numerical calculations reveal a rather small gap in a finite 2 × 2 setting. The advantage of the WZ approach over elementary compression is shown, where only the former can achieve the optimal diversity-multiplexing tradeoff (DMT).