Paper Info
Title
Joint Optimization of Relay Deployment, Channel Allocation, and Relay Assignment for UAVs-Aided D2D Networks
Abstract
Unmanned aerial vehicles (UAVs) can be deployed in the air to provide high probabilities of line of sight (LoS) transmission, thus UAVs bring much gain for wireless communication systems. In this paper, we study a UAVs-aided self-organized device-to-device (D2D) network. Relay deployment, channel allocation and relay assignment are jointly optimized, aiming to maximize the capacity of the relay network. On account of the coupled relationship between the three optimization variables, an alternating optimization approach is proposed to solve this problem. The original problem is divided into two sub-problems. The first one is that of optimizing the channel allocation and relay assignment with fixed relay deployment. Considering without central controller, a reinforcement learning algorithm is proposed to solve this sub-problem. The second sub-problem is that of optimizing the relay deployment with fixed channel allocation and relay assignment. Assuming no knowledge of channel model and exact positions of the communication nodes, an online learning algorithm based on real-time capacity is proposed to solve this sub-problem. By solving the two sub-problems alternately and iteratively, the original problem is finally solved. Simulation results show that the UAVs-aided D2D network can achieve a high capacity via the joint optimization of relay deployment, channel allocation, and relay assignment.
Year
DOI
Venue
2020
10.1109/TNET.2020.2970744
IEEE/ACM Transactions on Networking
Keywords
DocType
Volume
Relays,Optimization,Channel allocation,Unmanned aerial vehicles,Base stations,Device-to-device communication,Resource management
Journal
28
Issue
ISSN
Citations 
2
1063-6692
8
PageRank 
References 
Authors
0.43
0
4
Name
Order
Citations
PageRank
Xijian Zhong1151.56
Yan Guo2205.85
Ning Li314548.40
Yancheng Chen4111.14