Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers

Research Article

Frequency Saving OFDMA Resource Allocation with QoS Provision

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  • @INPROCEEDINGS{10.1007/978-3-642-30493-4_33,
        author={Guanying Ru and Hongxiang Li and Yanhui Lu and Yong Cheng and Weiyao Lin},
        title={Frequency Saving OFDMA Resource Allocation with QoS Provision},
        proceedings={Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers},
        proceedings_a={WICON},
        year={2012},
        month={10},
        keywords={Frequency adapting OFDMA QoS resource allocation},
        doi={10.1007/978-3-642-30493-4_33}
    }
    
  • Guanying Ru
    Hongxiang Li
    Yanhui Lu
    Yong Cheng
    Weiyao Lin
    Year: 2012
    Frequency Saving OFDMA Resource Allocation with QoS Provision
    WICON
    Springer
    DOI: 10.1007/978-3-642-30493-4_33
Guanying Ru,*, Hongxiang Li,*, Yanhui Lu1, Yong Cheng2, Weiyao Lin3
  • 1: University of California
  • 2: Darmstadt University of Technology
  • 3: Shanghai Jiao Tong University
*Contact email: guanying.ru@gmail.com, hongxiangli@gmail.com

Abstract

With the increasing wireless communication demands, frequency spectrum has become more and more limited and expensive. This paper proposes a novel optimization objective: minimizing the required frequency resource, on the premise that both the power constraints and users’ quality of service (QoS) demands can be met. With the frequency saving objective, the primary system can release the unnecessary frequencies for other applications, such as subordinate or cognitive networks. In this paper, we formulate the number of subcarriers minimization problem for both uplink and downlink OFDMA-based networks, which is a mixed NP-hard problem. For the downlink case, we propose an efficient near-optimal algorithm to solve the problem. For the uplink case, we derive low complexity greedy algorithms to obtain tight lower bound and upper bound. Simulation results show that our algorithms can significantly save the system’s frequency resource.