Performance Analysis of Overlay Spectrum Sharing in Hybrid Satellite-Terrestrial Systems with Secondary Network Selection

Pankaj K. Sharma, Prabhat K. Upadhyay*, Daniel Benevides Da Costa, Petros S. Bithas, Athanasios G. Kanatas

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

139 Scopus citations

Abstract

In this paper, we study a hybrid satellite-terrestrial spectrum sharing system (HSTSSS) in which multiple terrestrial secondary networks cooperate with a primary satellite network for dynamic spectrum access. For complexity-aware HSTSSS design, we propose an amplify-and-forward-based overlay spectrum sharing protocol using partial and opportunistic secondary network selection schemes. The secondary network selection aims to minimize the outage probability of the primary satellite system and, thereby, to explore spectrum sharing opportunities. With the overlay approach, the selected secondary network allocates part of its power to relay the satellite signal and utilizes the remaining power to transmit its own signal. Considering Shadowed-Rician fading for satellite links, and Nakagami-m as well as Rician fading for terrestrial links, we derive closed-form expressions for the outage probability of both primary and secondary networks, and examine their achievable diversity orders. Numerical and simulation results validate our analysis and highlight the performance gains of the proposed schemes for an HSTSSS with and without a direct satellite primary communication link.

Original languageEnglish
Article number7981353
Pages (from-to)6586-6601
Number of pages16
JournalIEEE Transactions on Wireless Communications
Volume16
Issue number10
DOIs
StatePublished - Oct 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • amplify-and-forward relaying
  • cognitive radio
  • cooperative diversity
  • fading channels
  • Hybrid satellite-terrestrial systems
  • outage probability
  • spectrum sharing

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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