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This paper investigates direct beamformer estimation in dynamic time division duplexing (TDD) system with the objective of weighted sum rate maximization. For a given TDD frame, base stations (BS) are allocated to either uplink or downlink based on the instantaneous traffic state. The weighted sum mean-squared error minimization framework is used to obtain the decentralized iterative solution for...
This paper introduces a novel bi-directional signaling scheme for decentralized beamformer design to maximize the weighted sum rate (WSR) of multi-cell multi-user multiple-input multiple-output dynamic time division duplexing (TDD) system. In particular, the base stations are assumed to be either in uplink or downlink state based on the instantaneous traffic demand. The WSR maximization problem is...
This paper investigates several bi-directional signaling strategies to facilitate decentralized beamformer design in a dynamic time division duplexing (TDD) system. A small-cell network with multi-antenna base stations and user terminals is considered, where the cells are operating either in uplink or downlink mode depending on the instantaneous traffic demand. Decentralized beamformer design is proposed...
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