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• W1518156714 abstract "Multi-stream aggregation (MSA) allows users to receive data from multiple base stations simultaneously to increase their data rates. In this paper, we propose a joint user association and resource allocation algorithm for MSA systems to achieve energy efficiency (EE) balance among different base stations. The problem is formulated as a non-convex combinatorial sum-of-ratios optimization problem, which is very hard to solve directly. We first relax the combinatorial variables and then transform the problem into a convex optimization problem by the sum-of-ratios algorithm and the successive convex approximation (SCA) method. Based on this, a near-optimal algorithm is developed. Simulation results show that the proposed algorithm can achieve a good performance with a fast convergence speed." @default.
• W1518156714 created "2016-06-24" @default.
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• W1518156714 date "2015-06-01" @default.
• W1518156714 modified "2023-09-23" @default.
• W1518156714 title "Joint user association and resource allocation for energy-efficient multi-stream aggregation" @default.
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• W1518156714 doi "https://doi.org/10.1109/icc.2015.7248697" @default.
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