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Consider a two-hop relay network that consists of multiple pairs of single-antenna users and multiple multiantenna relays. We assume that the relays employ a linear decode-and-forward (DF) strategy to cooperatively forward information from sources to their destinations. To provide fairness among users and alleviate the network backhaul load, we consider a signal-to-interference-plus-noise-ratio (SINR)-based...
Consider an uplink SIMO network consisting of multiple base stations (BSs) and multiple users, where each user has an individual transmit power constraint, and the BSs are allowed to cooperate in data receiving. To guarantee fairness among users and avoid heavy burden of backhaul data exchange, we maximize the minimum S-INR based on joint BS selection and beamforming. We formulate this problem from...
In modern wireless networks, dynamically optimizing the association between base stations (BSs) and users is a promising solution for performance improvement. However, a frequently changing BS-user association introduces heavy burden for network management. In this paper, we seek for balancing the flexibility and stability of the BS-user association in a green downlink MISO network. In addition to...
We consider the green communication problem in a downlink cooperative MISO network consisting of multiple base stations (BSs) and multiple users. We employ power efficiency as the performance metric, defined as the ratio of total user rate to total power consumption. The total user rate is related to the number of active users, while the total power consumption includes the transmit power and the...
Consider the throughput maximization problem for an uplink SIMO cloud radio access network (C-RAN), where the base stations (BSs) can be clustered dynamically to perform joint reception under some backhaul constraints. In this paper, it is formulated as a sparse optimization problem based on dynamic BS clustering and beamforming. Instead of solving this problem via a series of feasibility checking...
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