Markov-based vertical handoff decision algorithms in heterogeneous wireless networks

  • Authors:
  • Zhaolong Ning;Qingyang Song;Yejun Liu;Fanzhao Wang;Xinyu Wu

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • Computers and Electrical Engineering
  • Year:
  • 2014

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Abstract

In this paper, we propose a received signal strength (RSS)-based single-attribute handoff decision algorithm at first, and investigate handoff decision model based on connection lifetime, which can keep mobile terminals (MTs) staying long enough in the preferred network. Since the preferred quality of service (QoS) parameters may be distinct among different MTs, we then formulate the vertical handoff decision problem as a Markov decision process, with the objectives of maximizing the expected total reward and minimizing average number of handoffs. A reward function is constructed to assess the QoS during each connection, and the G1 and entropy methods are applied in an iterative way, by which we can work out a stationary deterministic handoff decision policy. Numerical results demonstrate the superiority of our proposed schemes compared with other existing algorithms.