• DocumentCode
    1467563
  • Title

    Power-Trading in Wireless Communications: A Cooperative Networking Business Model

  • Author

    Kandeepan, Sithamparanathan ; Jayaweera, Sudharman K. ; Fedrizzi, Riccardo

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
  • Volume
    11
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    1872
  • Lastpage
    1880
  • Abstract
    Managing the power resource in battery operated wireless devices is very crucial for extending the lifetime, here we propose the concept of power trading in wireless communications. We present a business model using sealed bid procurement auction based game theory for power-trading in cooperative wireless communication with quality of service (QoS) constraints. We formulate the problem as an auction in a buyer´s market sequentially/repeatedly played with a single source and a multiple relay network. The source, in-need of cooperation of a relay due to lack of battery power to communicate with the destination, broadcasts a cooperation-request specifying its QoS requirements. The QoS that we consider here are the bit error rate and the total delay associated with relaying the source data. The relays respond with their bids in terms of Euros/bit, and the source selects the best relay based on the bids. The relays compete with each other to win the game and profit from power trading. Each relay updates its pricing index via reinforcement learning to win the game during successive bidding intervals of the repeated game. Based on this model our results show that the relay node with the best features such as a better wireless channel and a better geographical position with respect to the source and destination nodes has a better chance of winning the game, and hence giving rise to a dominant strategy. More importantly, we show that the gains from the wireless channels can be converted into economic profits which is an attractive feature of the proposed business model for power trading.
  • Keywords
    cooperative communication; game theory; quality of service; radiocommunication; telecommunication network planning; wireless channels; QoS; battery operated wireless devices; cooperative networking business model; destination nodes; game theory; multiple relay network; power resource managing; power-trading; quality of service; reinforcement learning; sealed bid procurement auction; source nodes; wireless channel; wireless communications; Bit error rate; Business; Delay; Games; Power markets; Relays; Wireless communication; Power trading; auction game; economic cost; energy efficiency; power control; price power profile;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2012.030812.111350
  • Filename
    6168196