Title :
Separability of parallel Gaussian MIMO broadcast channels with shaping constraints
Author :
Hellings, Christoph ; Utschick, Wolfgang
Author_Institution :
Fachgebiet Methoden der Signalverarbeitung, Tech. Univ. Munchen, Munich, Germany
fDate :
June 28 2015-July 1 2015
Abstract :
It is well known that separate coding on each carrier is capacity-achieving in parallel Gaussian multiple-input multiple-output (MIMO) broadcast channels in the sense that the sum rate capacity under a sum power constraint is achievable with separate coding if the noise is independent on each carrier. In this paper, we generalize this statement by proving that the optimality of separate coding also holds under per-carrier shaping constraints, i.e., a sum covariance constraint on each carrier instead of a sum power constraint. Moreover, we show that not only the sum rate optimal point, but the whole capacity region can be achieved with separate coding. Finally, we prove that the worst-case noise in a MIMO broadcast channel with shaping constraints is independent across carriers.
Keywords :
Gaussian channels; MIMO communication; broadcast channels; encoding; Gaussian MIMO broadcast channels; multiple-input multiple-output broadcast channels; Covariance matrices; Downlink; Encoding; Interference; MIMO; Noise; Uplink; Capacity region; covariance constraints; dirty paper coding; multiuser MIMO systems; parallel broadcast channels;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
DOI :
10.1109/SPAWC.2015.7227013