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Minimum Length Scheduling for Full Duplex Time-Critical Wireless Powered Communication Networks

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Minimum Length Scheduling for Full Duplex Time-Critical Wireless Powered Communication Networks.pdf (1.178Mb)
Date
2020
Author
Iqbal, Muhammad Shahid
Sadi, Yalçın
Coleri, Sinem
Abstract
Radio frequency (RF) energy harvesting is key in attaining perpetual lifetime for time-critical wireless powered communication networks (WPCNs) due to full control on energy transfer, far field region, small and low-cost circuitry. In this paper, we propose a novel minimum length scheduling problem to determine the optimal power control, time allocation and schedule subject to data, energy causality and maximum transmit power constraints in a full-duplex WPCN. We first formulate the problem as a mixed integer non-linear programming problem and conjecture that the problem is NP-hard. As a solution strategy, we demonstrate that the power control and time allocation, and the scheduling problems can be solved separately in the optimal solution. For the power control and time allocation problem, we derive the optimal solution by evaluating Karush-Kuhn-Tucker conditions. For the scheduling, we introduce a penalty function allowing reformulation of the problem as a sum penalty minimization problem. Upon derivation of the optimality conditions based on the characteristics of the penalty function, we propose two polynomial-time heuristic algorithms and a reduced-complexity exact algorithm employing smart pruning techniques. Via extensive simulations, we illustrate that the proposed heuristic schemes outperform the schemes for predetermined transmission order of users and achieve close-to-optimal solutions.

Source

IEEE Transactions on Wireless Communications

Issue

9

Volume

19

Pages

5993-6006

URI

10.1109/TWC.2020.2999130
https://hdl.handle.net/20.500.12469/3447

Collections

  • Araştırma Çıktıları / WOS [1335]
  • Elektrik-Elektronik Mühendisliği / Electrical - Electronics Engineering [330]

Keywords

Wireless communication
Batteries
Optimal scheduling
Resource management
Wireless sensor networks
Energy harvesting
Power control
Energy harvesting
Wireless powered communication networks;
Full duplex
Power control
Scheduling

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DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV