Title
Joint Power, Original Bandwidth, and Detected Hole Bandwidth Allocation for Multi-Homing Heterogeneous Networks Based on Cognitive Radio
Abstract
In this paper, we investigate a joint resource allocation problem based on cognitive radio (CR) techniques for user equipment with multi-homing capabilities. We consider a heterogeneous wireless medium where users in overlapping coverage areas simultaneously communicate with different base stations and access points. Currently, existing works assume that the working frequency bands of different networks are separated. Unlike these works, this paper focuses on the multi-homing networks, which can share spectrum resources of each other to enhance the resource utilization efficiency. Based on spectrum sensing and spectrum sharing techniques in CR, we propose and then formulate an uplink joint original bandwidth, detected hole bandwidth and power allocation method. Specifically, the formulated optimization problem is a mixed integer nonlinear optimization problem. We adopt the continuity relaxation method to further transform it into a convex optimization problem and then solve it by Lagrange dual solution. A suboptimal method is further proposed with a reduced system overhead. Simulation results demonstrate the significantly improved performance of our proposed methods (both optimal and suboptimal) in terms of system throughput and energy efficiency over a joint resource allocation benchmark. Our results also indicate that the suboptimal strategy can indeed reduce the system overhead remarkably.
Year
DOI
Venue
2019
10.1109/TVT.2019.2892184
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Resource management,Bandwidth,Heterogeneous networks,Sensors,Interference,Cognitive radio,Uplink
Computer science,Bandwidth allocation,Computer network,Bandwidth (signal processing),Resource allocation,Throughput,Heterogeneous network,Optimization problem,Convex optimization,Distributed computing,Cognitive radio
Journal
Volume
Issue
ISSN
68
3
0018-9545
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Xinyu Wang154.48
Min Jia215839.37
Qing Guo3238.91
Ivan Wang Hei Ho414418.54
Jinsong Wu534232.75