Title :
An Extremal Inequality and the Capacity Region of the Degraded Compound Gaussian MIMO Broadcast Channel With Multiple Users
Author :
Hon-Fah Chong ; Ying-Chang Liang
Author_Institution :
Inst. for Infocomm Res., Singapore, Singapore
Abstract :
The two-user compound Gaussian MIMO broadcast channel models the situation where each user has a finite set of possible realizations. The transmitter sends two messages, one for each user, such that each user must be able to decode its message regardless of the actual realization. This channel also models a broadcast channel (BC) with two groups of users and two messages, with one message intended for each group of users. Weingarten et al. established the capacity region for the degraded case where the realizations/users exhibit a degradedness order. The degradedness order is defined through an additional realization/user where the realizations/users from one set are degraded with respect to him and where he is degraded with respect to the realizations/users from the other set. To show that Gaussian inputs attain the capacity region, they proved a new extremal inequality and employed the use of the channel enhancement technique as well. In this paper, we extend the result to the N-user degraded compound Gaussian MIMO BC, where the N users exhibit a degradedness order similar to the two-user case. We first prove a generalization of the extremal inequality considered by Weingarten et al.; instead of considering the difference between the weighted sum of two sets of conditional differential entropies, we consider the summation of N - 1 sets of such differences, where the conditioning random variables of the N - 1 sets form a Markov chain. Our proof relies on the Gaussian perturbation approach, the necessary KKT conditions as well as a data processing inequality. Finally, we specialize the generalized extremal inequality to characterize the capacity region of the N-user degraded compound Gaussian MIMO BC. By making appropriate use of the necessary KKT conditions, we are able to do away with the use of the channel enhancement technique that was employed in the proof of the capacity region of the two-user case.
Keywords :
Gaussian channels; MIMO communication; Markov processes; broadcast channels; channel capacity; multiuser channels; perturbation techniques; Gaussian inputs; Gaussian perturbation approach; KKT conditions; Markov chain; N-user degraded compound Gaussian MIMO BC; capacity region; channel enhancement technique; conditional differential entropies; conditioning random variables; data processing inequality; degradedness order; generalized extremal inequality; realizations; two-user case; two-user compound Gaussian MIMO broadcast channel; Compounds; Covariance matrices; Gaussian noise; MIMO; Optimization; Random variables; Vectors; Capacity region; Gaussian channel; Gaussian perturbation; MIMO; compound broadcast channel; extremal inequality;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2014.2345071