A reinforcement learning approach for cost- and energy-aware mobile data offloading

Cheng Zhang, Bo Gu, Zhi Liu, Kyoko Yamori, Yoshiaki Tanaka

    研究成果: Conference contribution

    12 被引用数 (Scopus)

    抄録

    With rapid increases in demand for mobile data, mobile network operators are trying to expand wireless network capacity by deploying WiFi hotspots to offload their mobile traffic. However, these network-centric methods usually do not fulfill interests of mobile users (MUs). MUs consider many problems to decide whether to offload their traffic to a complementary WiFi network. In this paper, we study the WiFi offloading problem from MU's perspective by considering delay-tolerance of traffic, monetary cost, energy consumption as well as the availability of MU's mobility pattern. We first formulate the WiFi offloading problem as a finite-horizon discrete-time Markov decision process (FDTMDP) with known MU's mobility pattern and propose a dynamic programming based offloading algorithm. Since MU's mobility pattern may not be known in advance, we then propose a reinforcement learning based offloading algorithm, which can work well with unknown MU's mobility pattern. Extensive simulations are conducted to validate our proposed offloading algorithms.

    本文言語English
    ホスト出版物のタイトル18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016: Management of Softwarized Infrastructure - Proceedings
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9784885523045
    DOI
    出版ステータスPublished - 2016 11 7
    イベント18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016 - Kanazawa, Japan
    継続期間: 2016 10 52016 10 7

    Other

    Other18th Asia-Pacific Network Operations and Management Symposium, APNOMS 2016
    国/地域Japan
    CityKanazawa
    Period16/10/516/10/7

    ASJC Scopus subject areas

    • 情報システムおよび情報管理
    • 管理情報システム
    • 技術マネージメントおよび技術革新管理
    • コンピュータ ネットワークおよび通信
    • ハードウェアとアーキテクチャ

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