Information Theory and Reliable Communication
Information Theory and Reliable Communication
On the capacity of frequency- selective channels in training-based transmission schemes
IEEE Transactions on Signal Processing
Pilot-assisted estimation of MIMO fading channel response and achievable data rates
IEEE Transactions on Signal Processing
Optimal training for block transmissions over doubly selective wireless fading channels
IEEE Transactions on Signal Processing
Average-rate optimal PSAM transmissions over time-selective fading channels
IEEE Transactions on Wireless Communications
Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
The capacity of discrete-time memoryless Rayleigh-fading channels
IEEE Transactions on Information Theory
Fading channels: how perfect need "perfect side information" be?
IEEE Transactions on Information Theory
Optimal placement of training for frequency-selective block-fading channels
IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Protocol-aided channel equalization in wireless ATM
IEEE Journal on Selected Areas in Communications
Achievable rate of MIMO channels with data-aided channel estimation and perfect interleaving
IEEE Journal on Selected Areas in Communications
An adaptive spatio-temporal coding scheme for indoor wireless communication
IEEE Journal on Selected Areas in Communications
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We consider the transmission over an unknown frequency-selective channel of two independent sources with different application-layer characteristics: one source (such as voice) has a low information rate with a strict delay constraint; the other (such as data) has a high rate but without any delay constraints. We propose a system structure that jointly considers the different decoding requirements of the application layer and the unknown fading nature of the physical channel. In the proposed communication system, pilot symbols are not present and the low-rate information is decoded noncoherently first. The decoded low-rate codewords are then used for channel estimation to facilitate coherent decoding of the high-rate source. For a fixed detection error probability of the low-rate source, we derive achievable rate expressions for the high-rate source. We demonstrate a convergence behavior of the achievable rate of the high-rate source as the decision error probability of the low-rate source goes to zero. Numerical results show that the achievable rate of the high-rate source converges to that achievable by a training-based scheme at moderate decision error levels.