Title
Joint Traffic Splitting and Spectrum Resource Allocation in Heterogeneous Cognitive Wireless Networks.
Abstract
This paper investigates the resource allocation problem in heterogeneous cognitive wireless networks (HCWNs), with the objective of improving the end-to-end quality of service (QoS) performance for the communication session which is based on multiple radio access technologies (Multi-RATs). The cognitive wireless networks (CWNs) share spectrum resource with primary users. The users with Multi-RATs applied transmit data through multiple paths by splitting the arrival packets to different access points in HCWNs. A mathematical model for minimizing the end-to-end delay with joint consideration of traffic splitting and spectrum resource allocation is formulated, and an algorithm is proposed by iteratively optimizing the traffic splitting and spectrum resource allocation parameters. During each iteration in the proposed algorithm, a tradeoff between the performance and complexity can be achieved. Simulation results show that the proposed algorithm iteratively decreases the end-to-end delay and outperforms conventional algorithms in QoS performance and spectrum utilization. © 2013 ACADEMY PUBLISHER.
Year
DOI
Venue
2013
10.4304/jnw.8.10.2429-2435
JNW
Keywords
Field
DocType
cognitive wireless network,heterogeneous,spectrum resource allocation,traffic splitting
Cognitive wireless network,Radio access,Computer science,Network packet,Computer network,Quality of service,Resource allocation,Distributed computing,Cognitive radio
Journal
Volume
Issue
Citations 
8
10
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Feng Chen111.04
Wenjun Xu231359.63
Yuchen Guo321.09
Hongyu Ma4354.76
Jiaru Lin564680.74