Outage behavior of discrete memoryless channels under channel estimation errors (2006)

Content Provider	CiteSeerX
Author	Piantanida, Pablo Matz, Gerald Duhamel, Pierre
Description	Classically, communication systems are designed assuming perfect channel state information at the receiver and/or transmitter. However, in many practical situations, only an estimate of the channel is available that differs from the true channel. We address this channel mismatch scenario by introducing the notion of estimation-induced outage capacity, for which we provide an associated coding theorem and its strong converse, assuming a discrete memoryless channel. The transmitter and receiver strive to construct codes for ensuring reliable communication with a quality of service (QoS), in terms of achieving a target rate with small error probability, no matter which degree of accuracy channel estimation arises during a transmission. We illustrate our ideas via numerical simulations for transmissions over Ricean fading channels using rate-limited feedback channel and maximum likelihood (ML) channel estimation. Our results provide intuitive insights on the impact of the channel estimate and the channel characteristics (SNR, Ricean K-factor, training sequence length, feedback rate, etc.) on the mean outage capacity. 1.
File Format	PDF
Language	English
Publisher Date	2006-01-01
Publisher Institution	in Proc. of International Symposium on Information Theory and its Applications, ISITA 2006
Access Restriction	Open
Subject Keyword	Ricean K-factor Many Practical Situation Discrete Memoryless Channel Mean Outage Capacity Maximum Likelihood Intuitive Insight Ricean Fading Channel Outage Behavior Channel Estimation Channel Mismatch Scenario Strong Converse Sequence Length Small Error Probability Reliable Communication Accuracy Channel Estimation Numerical Simulation Associated Coding Theorem Channel Characteristic Estimation-induced Outage Capacity Target Rate True Channel Channel Estimate Rate-limited Feedback Channel Feedback Rate Perfect Channel State Information Channel Estimation Error Communication System
Content Type	Text
Resource Type	Article