ws 14(2): e2

Research Article

Cell Selection in Wireless Two-Tier Networks: A Context-Aware Matching Game

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  • @ARTICLE{10.4108/ws.1.2.e2,
        author={Nima Namvar and Walid Saad and Behrouz Maham},
        title={Cell Selection in Wireless Two-Tier Networks: A Context-Aware Matching Game},
        journal={EAI Endorsed Transactions on Wireless Spectrum},
        volume={1},
        number={2},
        publisher={ICST},
        journal_a={WS},
        year={2014},
        month={7},
        keywords={Small Cell Networks, Context Information, User-Cell Association, Stable Matching},
        doi={10.4108/ws.1.2.e2}
    }
    
  • Nima Namvar
    Walid Saad
    Behrouz Maham
    Year: 2014
    Cell Selection in Wireless Two-Tier Networks: A Context-Aware Matching Game
    WS
    ICST
    DOI: 10.4108/ws.1.2.e2
Nima Namvar1, Walid Saad2, Behrouz Maham1
  • 1: Electrical and Computer Engineering Department,University of Tehran,Tehran, Iran.
  • 2: Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA.

Abstract

The deployment of small cell networks is seen as a major feature of the next generation of wireless networks. In this paper, a novel approach for cell association in small cell networks is proposed. The proposed approach exploits new types of information extracted from the users’ devices and environment to improve the way in which users are assigned to their serving base stations. Examples of such context information include the devices’ screen size and the users’ trajectory. The problem is formulated as a matching game with externalities and a new, distributed algorithm is proposed to solve this game. The proposed algorithm is shown to reach a stable matching whose properties are studied. Simulation results show that the proposed context-aware matching approach yields significant performance gains, in terms of the average utility per user, when compared with a classical max-SINR approach.