Minimum Length Scheduling for Multi-Cell Full Duplex Wireless Powered Communication Networks

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Date

2021

Authors

Iqbal, Muhammad Shahid
Sadi, Yalcin
Coleri, Sinem

Journal Title

Journal ISSN

Volume Title

Publisher

Mdpi

Open Access Color

GOLD

Green Open Access

Yes

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Publicly Funded

No
Impulse
Top 10%
Influence
Average
Popularity
Top 10%

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Journal Issue

Abstract

Wireless powered communication networks (WPCNs) will be a major enabler of massive machine type communications (MTCs), which is a major service domain for 5G and beyond systems. These MTC networks will be deployed by using low-power transceivers and a very limited set of transmission configurations. We investigate a novel minimum length scheduling problem for multi-cell full-duplex wireless powered communication networks to determine the optimal power control and scheduling for constant rate transmission model. The formulated optimization problem is combinatorial in nature and, thus, difficult to solve for the global optimum. As a solution strategy, first, we decompose the problem into the power control problem (PCP) and scheduling problem. For the PCP, we propose the optimal polynomial time algorithm based on the evaluation of Perron-Frobenius conditions. For the scheduling problem, we propose a heuristic algorithm that aims to maximize the number of concurrently transmitting users by maximizing the allowable interference on each user without violating the signal-to-noise-ratio (SNR) requirements. Through extensive simulations, we demonstrate a 50% reduction in the schedule length by using the proposed algorithm in comparison to unscheduled concurrent transmissions.

Description

Keywords

Resource-Allocation, Time Allocation, Resource-Allocation, Optimization, Time Allocation, Information, wireless powered communication networks, Optimization, energy harvesting, full-duplex, Information, power control, Throughput, scheduling, Throughput, multi-cell network, Wireless powered communication networks, Optimization, energy harvesting, Signal Processing (eess.SP), wireless powered communication networks, TP1-1185, Signal-To-Noise Ratio, Article, Computer Communication Networks, Engineering, full-duplex, Information, FOS: Electrical engineering, electronic engineering, information engineering, Full-duplex, scheduling, Time Allocation, Electrical Engineering and Systems Science - Signal Processing, Internet, Energy harvesting, Scheduling, Chemical technology, Chemistry; Engineering; Instruments and instrumentation, Throughput, power control, Multi-cell network, Power control, Chemistry, Resource-Allocation, Energy harvesting; Full-duplex; Multi-cell network; Power control; Scheduling; Wireless powered communication networks, multi-cell network, Instruments and instrumentation, Wireless Technology, Algorithms

Fields of Science

02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering

Citation

WoS Q

Q2

Scopus Q

Q1
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OpenCitations Citation Count
5

Source

Sensors

Volume

21

Issue

19

Start Page

6599

End Page

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Citations

CrossRef : 5

Scopus : 4

Captures

Mendeley Readers : 4

SCOPUS™ Citations

4

checked on Feb 20, 2026

Web of Science™ Citations

4

checked on Feb 20, 2026

Page Views

4

checked on Feb 20, 2026

Downloads

134

checked on Feb 20, 2026

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