Carrier Aggregation for Cooperative Cognitive Radio Networks

Panagiotis D. Diamantoulakis, Koralia N. Pappi, Sami Muhaidat, George K. Karagiannidis, Tamer Khattab

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The ever-increasing demand for mobile Internet and high-data-rate applications poses unique challenging requirements for 5G mobile networks, including spectrum limitations and massive connectivity. Cognitive radio and carrier aggregation (CA) have recently been proposed as promising technologies to overcome these challenges. In this paper, we investigate joint relay selection and optimal power allocation in an underlay cooperative cognitive radio with CA, taking into account the availability of multiple carrier components in two frequency bands, subject to outage probability requirements for primary users (PUs). The secondary user network employs relay selection, where the relay that maximizes the end-to-end sum rate is selected, assuming both decode-and-forward and amplify-and-forward relaying. The resulting optimization problems are optimally solved using convex optimization tools, i.e., dual decomposition and an efficient iterative method, allowing their application in practical implementations. Simulation results illustrate that the proposed configuration exploits the available degrees of freedom efficiently to maximize the SU rate, while meeting the PU average outage probability constraints.

Original languageBritish English
Article number7765137
Pages (from-to)5904-5918
Number of pages15
JournalIEEE Transactions on Vehicular Technology
Volume66
Issue number7
DOIs
StatePublished - Jul 2017

Keywords

  • Amplify-and-forward (AF)
  • carrier aggregation (CA)
  • cognitive radio (CR)
  • decode-and-forward (DF)
  • dynamic power allocation
  • interference
  • relay selection

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