Title
Uplink Resource Allocation for Multi-Cluster Internet-of-Things Deployment Underlaying Cellular Networks
Abstract
Internet-of-Things (IoT) deployment underlaying cellular communication have been drawing increasing attention in recent years. In this work, we consider Device-to-Device (D2D) communication technology for enabling uplink transmission in multiple IoT groups/clusters at which the resource block (RB) of each cellular user is reused by multiple IoT devices (IoTDs). Joint resources and power allocation optimization problem is formulated for maximizing both the IoTDs connectivity and cell throughput under an interference constraint. A heuristic algorithm, namely greedy iterative matching (GIM), is proposed as a sub-optimal solution for the resource allocation problem while a fixed-power margin technique is used for the cellular users’ power allocation. Simulations results show that the proposed GIM algorithm provides enhanced cell throughput gain and accessibility to IoTDs. The proposed reuse model is applicable in a network at which the number of IoTDs deployed within multiple groups is larger than the available cellular reuse partners.
Year
DOI
Venue
2020
10.1007/s11036-019-01288-6
Mobile Networks and Applications
Keywords
Field
DocType
Internet-of-Things, Resources allocation, Underlay Device-to-Device, multi-cluster IoT, 5G networks
Software deployment,Computer science,Reuse,Cellular communication,Heuristic (computer science),Computer network,Resource allocation,Cellular network,Optimization problem,Distributed computing,Telecommunications link
Journal
Volume
Issue
ISSN
25
1
1383-469X
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Basem M. ElHalawany194.17
Omnia Hashad200.34
kaishun wu3105994.59
Adly S. Tag Eldien401.01