8th International Conference on Communications and Networking in China

Research Article

Throughput Maximization Based Joint Power and Bandwidth Allocation for UMTS/WLAN Integrated Network

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694599,
        author={Rong Chai and Huili Zhang and Qianbin Chen},
        title={Throughput Maximization Based Joint Power and Bandwidth Allocation for UMTS/WLAN Integrated Network},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={umts wlan throughput bandwidth allocation genetic algorithm},
        doi={10.1109/ChinaCom.2013.6694599}
    }
    
  • Rong Chai
    Huili Zhang
    Qianbin Chen
    Year: 2013
    Throughput Maximization Based Joint Power and Bandwidth Allocation for UMTS/WLAN Integrated Network
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694599
Rong Chai1, Huili Zhang1,*, Qianbin Chen1
  • 1: Chongqing University of Posts and Telecommunications
*Contact email: 846055363@qq.com

Abstract

Next Generation Wireless Network (NGWN) is expected to integrate various Radio Access Technologies (RATs), and to support heterogeneous services with different Quality of Service (QoS) requirements. However, these desired functions demand seamless coordination and efficient resource management of the heterogeneous RATs. In this paper, an integrated system of UMTS and WLAN which supports throughput-sensitive, delay-sensitive and Bit Error Rate (BER)-sensitive users is considered and a joint power and bandwidth allocation algorithm for uplink transmission is proposed. Through examining throughput performance of users with various user services, the optimization problem is formulated as maximizing user overall throughput for both access networks subject to QoS constraints. Solving the optimization problem by use of Genetic Algorithm (GA), the optimal power and bandwidth allocation strategy can be obtained. The numerical simulation demonstrates the efficiency of the proposed algorithm.