Title | ||
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Energy-Efficient Resource Allocation in TDMS-Based Wireless Powered Communication Networks |
Abstract | ||
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This letter considers a wireless powered communication network (WPCN) where users first harvest energy in downlink and then utilize the energy to transmit information signal in uplink simultaneously. Our goal is to maximize the energy efficiency (EE) of the network via joint time allocation and power control. However, directly solving this issue is of significant challenge due to its nonconvex property. By exploiting the nonlinear fractional programming, an iterative resource allocation method based on the Dinkelbach structure is proposed to solve the considered nonconvex optimization problem. In each iteration, we optimize power with fixed time allocation and then optimize time with a given power allocation. Simulation results are presented to show that the system EE is greatly improved by the proposed approach. |
Year | DOI | Venue |
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2017 | 10.1109/LCOMM.2016.2639484 | IEEE Communications Letters |
Keywords | Field | DocType |
Resource management,Time division multiplexing,Wireless communication,Optimization,Throughput,Time division multiple access,Programming | Resource management,Max-min fairness,Mathematical optimization,Wireless,Computer science,Time allocation,Efficient energy use,Power control,Real-time computing,Resource allocation,Fractional programming | Journal |
Volume | Issue | ISSN |
21 | 4 | 1089-7798 |
Citations | PageRank | References |
2 | 0.47 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xin Lin | 1 | 66 | 18.39 |
Lei Huang | 2 | 565 | 68.88 |
Chongtao Guo | 3 | 73 | 11.11 |
Peichang Zhang | 4 | 2 | 0.80 |
Chongwen Huang | 5 | 751 | 39.38 |
Jihong Zhang | 6 | 7 | 3.28 |