JOURNAL ARTICLE

A Device-to-Device Communication-Based Disaster Response Network

Javad Zeraatkar MoghaddamMuhammad UsmanFabrizio Granelli

Year: 2018 Journal:   IEEE Transactions on Cognitive Communications and Networking Vol: 4 (2)Pages: 288-298   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Device-to-Device (D2D) communication and cognitive radio are among the key technologies that can help to solve the bandwidth bottleneck problem of cellular networks. Such technologies help to maintain the necessary communication between user devices in case of natural disasters and traffic hotspot situations. In this paper, we efficiently exploit the relay selection and cooperative beamforming (CBF) strategies for D2D communication and show that user devices can securely communicate with each other without infrastructure support. We propose a cluster-based hierarchical topology for a multi-hop cooperative relay network, to cover the potentially long distance between the source and the destination. The cluster heads in the proposal act as primary users (PUs) and the cluster members are regarded as secondary users (SUs) or relay nodes. A system model is presented to analyze the problems of relay selection and power allocation in SUs located in different clusters and hierarchical levels. To investigate the efficiency of our proposed model, we define the utilities of PUs employing relay selection and CBF, considering received signal power and latency. We optimize relay selection and beamforming vector by solving a mixed integer nonlinear problem. Numerical results demonstrate the efficiency and robustness of our approach.

Keywords:
Relay Computer science Bottleneck Computer network Beamforming Exploit Robustness (evolution) Network topology Distributed computing Telecommunications Power (physics) Computer security Embedded system

Metrics

30
Cited By
4.67
FWCI (Field Weighted Citation Impact)
35
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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