We consider the downlink of a multi-cell system with multi-antenna base stations and single-antenna user terminals, base station cooperation clusters, distance-dependent propagation pathloss, and general fairness requirements, obtained through a suitable downlink scheduling algorithm. We determine large-system expressions for the optimization of zero-forcing beamforming with joint processing from clusters of cooperating base stations. We characterize the system performance including the overhead due to training-based channel estimation, and we illuminate the tradeoff between the benefit of a larger number of cooperating antennas and the cost of estimating higher-dimensional channel vectors. © 2011 IEEE.
Network-MIMO Cellular Systems: Large-System Analysis and Low-Overhead Downlink Scheduling / H., Huh; Tulino, ANTONIA MARIA; G., Caire. - ELETTRONICO. - (2011), pp. 693-696. (Intervento presentato al convegno 2011 IEEE Workshop on Statistical Signal Processing (SSP2011) tenutosi a Nice, France nel 28-30 June, 2011) [10.1109/SSP.2011.5967796].
Network-MIMO Cellular Systems: Large-System Analysis and Low-Overhead Downlink Scheduling
TULINO, ANTONIA MARIA;
2011
Abstract
We consider the downlink of a multi-cell system with multi-antenna base stations and single-antenna user terminals, base station cooperation clusters, distance-dependent propagation pathloss, and general fairness requirements, obtained through a suitable downlink scheduling algorithm. We determine large-system expressions for the optimization of zero-forcing beamforming with joint processing from clusters of cooperating base stations. We characterize the system performance including the overhead due to training-based channel estimation, and we illuminate the tradeoff between the benefit of a larger number of cooperating antennas and the cost of estimating higher-dimensional channel vectors. © 2011 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
