Abstract:
This study designs user association and time allocation for wireless communication networks. In the first downlink phase, base stations (BSs) harvest-then-transmit wireless energy to users. In the uplink phase, users send information to the BS using harvested energy.
To maximize network throughput, we use a general α–fair utility. Maximizing sum-rate, proportional fairness, and minimum rate are examined separately. We introduce a message-passing-based framework to efficiently distribute user association and optimize time allocation between the downlink and uplink phases.
To maximize α–fair utility, each user selects a BS distributedly. An efficient line search determines time allocation after user association. The proposed algorithm outperforms existing methods in simulations.
Keywords: Resource Management, Wireless Communication, Uplink, Throughput, Downlink, Wireless Sensor Networks, Time Division Multiple Access, Energy Harvesting, Message Passing, Optimisation, Protocols, Radio Networks, Resource Allocation, Search Problems, Telecommunication Power Management
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