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Energy Efficient Cognitive Radio Network Using High Altitude Platform Station

  • Shital Joshi
  • Umar Albalawi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 886)

Abstract

To meet the demand of future communication, it is utmost important to efficiently utilize various communication resources. Cognitive radio network is one of the most promising area for future communication, which aims to increase the frequency utilization. With the cell size growing smaller with each generation, the number of base stations and the time to develop the required infrastructure will increase exponentially. As a “last mile” solution, this paper considers a high altitude platform station (HAPS) to implement the cognitive radio network where the optimization problem is formulated to maximize the energy efficiency (EE) of the overall network. Two primary objectives are addressed: increase the EE of the network and decrease the interference to the primary users. The non-convex optimization problem is transformed to semi-definite problem. The results obtained are promising for HAPS as a future radio platform.

Keywords

Energy efficiency Cognitive radio network High altitude platform station (HAPS) Convex optimization Semidefinite relaxation 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringOakland UniversityRochesterUSA
  2. 2.Department of Computer ScienceUniversity of TabukTabukKingdom of Saudi Arabia

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