Outage Behavior of Discrete Memoryless Channels Under Channel Estimation Errors

DOI10.1109/TIT.2009.2025574zbMATH Open1367.94259arXiv0706.2963OpenAlexW2964222897MaRDI QIDQ4973989

Author name not available (Why is that?)

Publication date: 8 August 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Abstract: 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 using the notion of estimation-induced outage capacity, for which we provide an associated coding theorem and its strong converse, assuming a discrete memoryless channel. We illustrate our ideas via numerical simulations for transmissions over Ricean fading channels under a quality of service (QoS) constraint 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.

Full work available at URL: https://arxiv.org/abs/0706.2963

Mathematics Subject Classification ID

Channel models (including quantum) in information and communication theory (94A40) Coding theorems (Shannon theory) (94A24)

Related Items (3)

Proof of the Outage Probability Conjecture for MISO Channels ⋮ Outage Probability Under Channel Distribution Uncertainty ⋮ On Downlink Transmission Without Transmit Channel State Information and With Outage Constraints

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