Computer Science – Information Theory
Scientific paper
2007-06-20
Proc. of International Symposium on Information Theory and its Applications (ISITA), Seoul, Korea, 2006, pp. 417-422
Computer Science
Information Theory
Scientific paper
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.
Duhamel Pierre
Matz Gerald
Piantanida Pablo
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