10th EAI International Conference on Communications and Networking in China

Research Article

Delay-Aware Resource Allocation Scheme for Heterogeneous Multi-radio Access System Based on Lyapunov Optimization

  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2261029,
        author={Hanqing Wang and Chengyi Liu and Lianfeng Shen and Weiwei Xia},
        title={Delay-Aware Resource Allocation Scheme for Heterogeneous Multi-radio Access System Based on Lyapunov Optimization},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={multi-radio access (mra) system delay-aware resource allocation lyapunov optimization},
        doi={10.4108/eai.15-8-2015.2261029}
    }
    
  • Hanqing Wang
    Chengyi Liu
    Lianfeng Shen
    Weiwei Xia
    Year: 2015
    Delay-Aware Resource Allocation Scheme for Heterogeneous Multi-radio Access System Based on Lyapunov Optimization
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2261029
Hanqing Wang1,*, Chengyi Liu1, Lianfeng Shen1, Weiwei Xia1
  • 1: National Mobile Communications Research Laboratory, Southeast University
*Contact email: 220130721@seu.edu.cn

Abstract

A delay-aware resource allocation algorithm for the heterogeneous multi-radio access (MRA) system, where multiple mobile terminals are served by long term evolution (LTE) and wireless local area network (WLAN) access technologies, is proposed in this paper. Taking both the queue dynamics and physical layer metrics into account when modeling the problem, the algorithm is designed to stabilize all queues while minimizing the total power consumption by minimizing the upper bound of the drift-plus-penalty expression based on Lyapunov optimization theory. Dividing the primary mixed integer programming problem into two sub-problems, the close-form suboptimal solution can be obtained through the standard techniques of the convex minimization with relatively low complexity. The simulation results show that a fundamental improvement in terms of delay performance can be achieved by the proposed algorithm compared with the conventional algorithm based on the sum-rate maximization.