Vector quantization and signal compression
Vector quantization and signal compression
Elements of information theory
Elements of information theory
Coding Theorems of Information Theory
Coding Theorems of Information Theory
Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
Space-time decoding with imperfect channel estimation
IEEE Transactions on Wireless Communications
Universal decoding for channels with memory
IEEE Transactions on Information Theory
Reliable communication under channel uncertainty
IEEE Transactions on Information Theory
The method of types [information theory]
IEEE Transactions on Information Theory
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading
IEEE Transactions on Information Theory
Coded diversity on block-fading channels
IEEE Transactions on Information Theory
On the capacity of some channels with channel state information
IEEE Transactions on Information Theory
On coding for block fading channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Fading channels: how perfect need "perfect side information" be?
IEEE Transactions on Information Theory
Service outage based power and rate allocation
IEEE Transactions on Information Theory
Information projections revisited
IEEE Transactions on Information Theory
Capacity bounds via duality with applications to multiple-antenna systems on flat-fading channels
IEEE Transactions on Information Theory
Universal decoding for frequency-selective fading channels
IEEE Transactions on Information Theory
Feedback rate-capacity loss tradeoff for limited feedback MIMO systems
IEEE Transactions on Information Theory
Capacity and power allocation for fading MIMO channels with channel estimation error
IEEE Transactions on Information Theory
Coding Problems for Channels With Partial State Information at the Transmitter
IEEE Transactions on Information Theory
Channel capacity for a given decoding metric
IEEE Transactions on Information Theory
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
On the capacity of a multiple-antenna communication link with channel side information
IEEE Journal on Selected Areas in Communications
On the outage capacity of a practical decoder accounting for channel estimation inaccuracies
IEEE Transactions on Communications
Hi-index | 754.84 |
Communication systems are usually designed by assuming perfect channel state information (CSI). However, in many practical scenarios, only a noisy estimate of the channel is available which may strongly differ from the true channel. This imperfect CSI scenario is addressed by introducing the notion of estimation-induced outage (EIO). We derive a single-letter characterization of the maximal EIO rate and prove an associated coding theorem and its strong converse for discrete memoryless channels (DMCs). The transmitter and the receiver rely on the channel estimate and the statistics of the estimate to construct codes that guarantee reliable communication with a certain outage probability. This ensures that in the non-outage case the transmission meets the target rate with small error probability, irrespective of the quality of the channel estimate. Applications of the EIO capacity to a single-antenna (nonergodic) Ricean fading channel are considered. The EIO capacity for this case is compared to the EIO rates of a communication system in which the receiver decodes by using a mismatched maximum-likelihood (ML) decoder. The effects of rate-limited feedback to provide the transmitter with quantized CSI are also investigated.