Research Article
Quality-of-Service Driven Resource Allocation via Stochastic Optimization for Wireless Multi-user Relay Networks
132 downloads
@INPROCEEDINGS{10.1007/978-3-319-66625-9_31, author={Xiao Yin and Yanbo Ma and Qiang Liu and Wei Su}, title={Quality-of-Service Driven Resource Allocation via Stochastic Optimization for Wireless Multi-user Relay Networks}, proceedings={Communications and Networking. 11th EAI International Conference, ChinaCom 2016, Chongqing, China, September 24-26, 2016, Proceedings, Part I}, proceedings_a={CHINACOM}, year={2017}, month={10}, keywords={Resource allocation Wireless relay networks QoS Effective capacity Stochastic optimization Convex optimization}, doi={10.1007/978-3-319-66625-9_31} }- Xiao Yin
Yanbo Ma
Qiang Liu
Wei Su
Year: 2017
Quality-of-Service Driven Resource Allocation via Stochastic Optimization for Wireless Multi-user Relay Networks
CHINACOM
Springer
DOI: 10.1007/978-3-319-66625-9_31
Abstract
This paper presents a power allocation algorithm for optimizing network resources while considering the delay provisioning in multi-user relay networks. Our aim is to minimize the average power consumed by the relay nodes while satisfying the minimum Qos requirement of all users. Employing the convex optimization theory, we derive an optimal power allocation policy in a quasi-closed form and give two rules of how to select the relay nodes. Furthermore, a stochastic power method is developed to learn the fading state of the channels and carry out the optimal strategy immediately. Moreover, numerical results are provided to demonstrate the performance of the proposed resource allocation policies.
Copyright © 2016–2024 ICST
