Power control and relay selection in Full-Duplex Cognitive Relay Networks: Coherent versus non-coherent scenarios

Le Thanh Tan, Lei Ying, Daniel Bliss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

This paper investigates power control and relay selection in Full Duplex Cognitive Relay Networks (FDCRNs), where the secondary-user (SU) relays can simultaneously receive and forward the signal from the SU source. We study both non-coherent and coherent scenarios. In the non-coherent case, the SU relay forwards the signal from the SU source without regulating the phase; while in the coherent scenario, the SU relay regulates the phase when forwarding the signal to minimize the interference at the primary-user (PU) receiver. We consider the problem of maximizing the transmission rate from the SU source to the SU destination subject to the interference constraint at the PU receiver and power constraints at both the SU source and SU relay. We develop low-complexity and high-performance joint power control and relay selection algorithms. The superior performance of the proposed algorithms are confirmed using extensive numerical evaluation. In particular, we demonstrate the significant gain of phase regulation at the SU relay (i.e., the gain of the coherent mechanism over the noncoherent mechanism).

Original languageEnglish (US)
Title of host publication2017 51st Annual Conference on Information Sciences and Systems, CISS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509047802
DOIs
StatePublished - May 10 2017
Event51st Annual Conference on Information Sciences and Systems, CISS 2017 - Baltimore, United States
Duration: Mar 22 2017Mar 24 2017

Other

Other51st Annual Conference on Information Sciences and Systems, CISS 2017
CountryUnited States
CityBaltimore
Period3/22/173/24/17

Fingerprint

Power control
Phase control
Scenarios

Keywords

  • Coherent
  • Full-duplex cognitive radios
  • Full-duplex cooperative communications
  • Non-coherent
  • Optimal transmit power levels
  • Rate maximization
  • Relay selection scheme
  • Self-interference control

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems and Management
  • Computer Networks and Communications
  • Information Systems

Cite this

Tan, L. T., Ying, L., & Bliss, D. (2017). Power control and relay selection in Full-Duplex Cognitive Relay Networks: Coherent versus non-coherent scenarios. In 2017 51st Annual Conference on Information Sciences and Systems, CISS 2017 [7926066] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2017.7926066

Power control and relay selection in Full-Duplex Cognitive Relay Networks : Coherent versus non-coherent scenarios. / Tan, Le Thanh; Ying, Lei; Bliss, Daniel.

2017 51st Annual Conference on Information Sciences and Systems, CISS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7926066.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tan, LT, Ying, L & Bliss, D 2017, Power control and relay selection in Full-Duplex Cognitive Relay Networks: Coherent versus non-coherent scenarios. in 2017 51st Annual Conference on Information Sciences and Systems, CISS 2017., 7926066, Institute of Electrical and Electronics Engineers Inc., 51st Annual Conference on Information Sciences and Systems, CISS 2017, Baltimore, United States, 3/22/17. https://doi.org/10.1109/CISS.2017.7926066
Tan LT, Ying L, Bliss D. Power control and relay selection in Full-Duplex Cognitive Relay Networks: Coherent versus non-coherent scenarios. In 2017 51st Annual Conference on Information Sciences and Systems, CISS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7926066 https://doi.org/10.1109/CISS.2017.7926066
Tan, Le Thanh ; Ying, Lei ; Bliss, Daniel. / Power control and relay selection in Full-Duplex Cognitive Relay Networks : Coherent versus non-coherent scenarios. 2017 51st Annual Conference on Information Sciences and Systems, CISS 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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