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http://dx.doi.org/10.3837/tiis.2022.01.018

Bidirectional Link Resource Allocation Strategy in GFDM-based Multiuser SWIPT Systems  

Xu, Xiaorong (School of Communication Engineering, Hangzhou Dianzi University)
Sun, Minghang (School of Communication Engineering, Hangzhou Dianzi University)
Zhu, Wei-Ping (Department of Electrical and Computer Engineering, Concordia University)
Feng, Wei (School of Communication Engineering, Hangzhou Dianzi University)
Yao, Yingbiao (School of Communication Engineering, Hangzhou Dianzi University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.16, no.1, 2022 , pp. 319-333 More about this Journal
Abstract
In order to enhance system energy efficiency, bidirectional link resource allocation strategy in GFDM-based multiuser SWIPT systems is proposed. In the downlink channel, each SWIPT user applies power splitting (PS) receiver structure in information decoding (ID) and non-linear energy harvesting (EH). In the uplink channel, information transmission power is originated from the harvested energy. An optimization problem is constructed to maximize weighted sum ID achievable rates in the downlink and uplink channels via bidirectional link power allocation as well as subcarriers and subsymbols scheduling. To solve this non-convex optimization problem, Lagrange duality method, sub-gradient-based method and greedy algorithm are adopted respectively. Simulation results show that the proposed strategy is superior to the fixed subcarrier scheme regardless of the weighting coefficients. It is superior to the heuristic algorithm in larger weighting coefficients scenario.
Keywords
Bidirectional link resource allocation strategy; GFDM; Multiuser SWIPT systems; Non-linear energy harvesting; Non-convex optimization problem;
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