Dynamic spectrum access based on interruptible spectrum leasing

  • Authors:
  • Sooyeol Im;Hyoungsuk Jeon;Seunghee Kim;Jinup Kim;Hyuckjae Lee

  • Affiliations:
  • Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Korea 305-732;Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Korea 305-732;Smart Radio Research Team, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon, Korea 305-700;Smart Radio Research Team, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon, Korea 305-700;Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Korea 305-732

  • Venue:
  • Wireless Networks
  • Year:
  • 2012

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Abstract

Dynamic spectrum access (DSA) based on interruptible spectrum leasing allows secondary users (SUs) to lease a licensed, but idle, spectrum that is owned by primary users (PUs) on condition that the PUs preempt the access to the leased spectrum. This paper considers a DSA scenario where the SUs opportunistically use the primary spectrum in addition to their own band and the PUs use their own band regardless of the opportunistic access. This operating scenario can contribute to leverage the spectrum utilization by exploiting underutilized spectrum resources, but involves a problem that the SUs may be forced to interrupt on-going services in response to the PUs' reclamation of the leased spectrum. In this paper, we address the optimal call admission control (CAC) problem in order to coordinate the DSA based on interruptible spectrum leasing by considering the tradeoff between the additional spectrum use and the penalty on the service interruption. To this end, we adopt the profit of the secondary wireless service provider as a cost function of the CAC policy in a market mechanism manner. The optimization problem is modeled as a profit maximization problem, and a linear programming (LP) formulation of the semi-Markov decision process approach is provided. Through the simulation results, we analyze the LP solution of the optimal CAC for the leasing based DSA and demonstrate that the proposed CAC policy judiciously uses the access opportunities of the SUs considering the service interruption.