Title | ||
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Model Predictive Joint Transmit Power Control for Improving System Availability in Energy-Harvesting Wireless Mesh Networks. |
Abstract | ||
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This letter explores energy-efficient transmit power control in wireless mesh networks (WMNs) with energy harvesting sources, where both users and WMN links are considered to decide an optimal energy utilization scheme. Specifically, a model predictive control algorithm is proposed based on user distribution and harvested energy predictions. Extensive simulation results show that the proposed algo... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/LCOMM.2018.2860005 | IEEE Communications Letters |
Keywords | Field | DocType |
Power control,Batteries,Predictive models,Prediction algorithms,Energy harvesting,Throughput,Bandwidth | User density,Transmitter power output,Computer science,Power control,Model predictive control,Energy harvesting,Computer network,Real-time computing,Bandwidth (signal processing),Wireless mesh network,Throughput | Journal |
Volume | Issue | ISSN |
22 | 10 | 1089-7798 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Katsuya Suto | 1 | 122 | 11.03 |
Hiroki Nishiyama | 2 | 1285 | 92.61 |
Nei Kato | 3 | 3982 | 263.66 |
Toshiaki Kuri | 4 | 13 | 5.59 |