Title
Energy-Efficient Resource Allocation For Multi-Rat Networks Under Time Average Qos Constraint
Abstract
In this paper, we propose an energy-efficient resource allocation algorithm for multiple radio access technologies (multi-RAT) networks, where the user equipments (UEs) transmit data over multiple radio interfaces for exploiting the complementary advantages of different RATs. In this scenario, the resource allocation is formulated as a stochastic energy efficiency (EE) maximization problem. More specifically, the time average quality of service constraint is considered to provide the flexible resource allocation over the time-varying fading channels. The virtual queue is introduced for each UE to deal with the time average transmission requirement. By adopting Lyapunov optimization technique and fractional programming theory, the non-concave EE maximization is converted into a mixed integer nonlinear optimization (MINO) problem. After that, the continuity relaxation and Lagrange dual methods are used to find the solution of the MINO problem. Then, we develop an EE-based dynamic joint subcarrier and power allocation algorithm, which does not require any prior knowledge of the channel state information. In addition, the performance bounds of the EE and virtual queue are provided. Our simulation results show that the performance of the proposed algorithm is better than other general algorithms.
Year
DOI
Venue
2021
10.1007/s11276-020-02456-3
WIRELESS NETWORKS
Keywords
DocType
Volume
Energy efficiency, QoS constraint, Multi-RAT networks
Journal
27
Issue
ISSN
Citations 
1
1022-0038
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Guanhua Chai110.35
Weihua Wu2266.96
Qinghai Yang3233.31
Runzi Liu48213.33
Meng Qin5387.68
Kyung Sup Kwak69212.10