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|All Authors / Contributors:||
Juan Pablo Piantanida; Pierre Duhamel; Université de Paris-Sud. Faculté des Sciences d'Orsay (Essonne).
|Description:||1 vol. (XXXII-195 p.) : ill. ; 30 cm.|
|Responsibility:||Juan-Pablo Piantanida ; sous la direction de Pierre Duhamel.|
The capacity of single and multi-user channels under imperfect channel knowledge are investigated. We address these channel mismatch scenarios by introducing two novel notions of reliable communication under channel estimation errors, for which we provide an associated coding theorem and its corresponding converse. Basically, we exploit for our purpose an interesting feature of channel estimation through use of pilot symbols. This feature is the availability of the statistic characterizing the quality of channel estimates. We first introduce the notion of estimation-induced outage capacity, where the transmitter and the receiver strive to construct codes for ensuring reliable communication with a quality-of-service, no matter which degree of accuracy estimation arises during a transmission. Then the optimal decoder achieving this capacity is investigated. We derive a practical decoding metric and its achievable rates, for arbitrary memoryless channels that minimizes the average of the transmission error probability over all channel estimation errors. We next consider the effects of imperfect channel estimation at the receivers with imperfect (or without) channel knowledge at the transmitter on the capacity of state-dependent channels withe non-causal CSI at the transmitter (e. g. the multi-user Fading MIMO Broadcast Channel). We address this through the notion of reliable communication based on the average of the transmission error probability over all channel estimation erros. Finally, we consider several implementable DPC schemes for multi-user information embedding, through emphasizing their tight relationship with conventional multi-user information theory.