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Improving the Scalability of LoRa Networks Through Dynamical Parameter Set Selection Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Joint Uplink and Downlink Optimization for Resource Allocation Under D2D Communication Networks

Authors : Di He, Guangsheng Feng, Bingyang Li, Hongwu Lv, Huiqiang Wang, Quanming Li

Published in: Wireless Sensor Networks

Publisher: Springer Singapore

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Abstract

We study the joint uplink and downlink (JUAD) resource allocation problem in D2D networks, where D2D sender communicates with D2D recipient by reusing the channel of cellular users (CUs). In order to maximize the throughput of D2D networks, we model the JUAD problem as a mixed integer nonlinear programming problem (MINLP). Since the problem is NP hard, to solve it better, we divide it into two sub-problems by analyzing the structure of the primal problem, including channel assignment and power allocation. Then, we turn the sub-problem of power allocation into convex problem by the Lagrangian dual theory for getting the optimal power value of CUs and D2D pair. Next, an improved Hopcroft-Karp algorithm is proposed to solve the sub-problem of channel allocation, which has lower complexity compared with the traditional channel allocation approaches. Finally, extensive simulations show that our proposed approach achieves a near optimal solution.

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previous chapter A Weighted Voronoi Diagram Based Self-deployment Algorithm for Heterogeneous Mobile Sensor Network in Three-Dimensional Space
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Metadata
Title
Joint Uplink and Downlink Optimization for Resource Allocation Under D2D Communication Networks
Authors
Di He
Guangsheng Feng
Bingyang Li
Hongwu Lv
Huiqiang Wang
Quanming Li
Copyright Year
2019
Publisher
Springer Singapore
Book
Wireless Sensor Networks

Print ISBN: 978-981-15-1784-6

Electronic ISBN: 978-981-15-1785-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-15-1785-3_3

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