On the joint impact of SU mobility and PU activity in Cognitive Vehicular Networks with Improved Energy Detection

Om Thakkar, Dhaval K. Patel, Yong Liang Guan, Sumei Sun, Yoong Choon Chang, Joanne Mun Yee Lim

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Abstract

Dynamic Spectrum Access (DSA)/Cognitive Radio (CR) systems access the channel in an opportunistic, noninterfering manner with the primary network, thus being a promising approach to solve the problem of spectrum scarcity. Energy Detection, a spectrum sensing technique for DSA/CR systems, is widely used for blind sensing of unused frequency bands due to its non-parametric sensing ability and computationally low complexity. However, spectrum sensing becomes more challenging in Cognitive Vehicular Networks (CVNs) due to Secondary User's (SU's) mobility and often yields a detection performance loss as compared to static scenarios. In order to mitigate the impact of reduced detection performance due to mobility, the usage of an improved version of energy detection technique is proposed in this paper. Usage of Improved Energy Detection (IED) technique in CVNs results more than 10% increment in DSA/CR system performance. In this paper, we study the joint impact of SU's sensing range, PU's protection range and SU's mobility model on the PU Activity using IED technique in CVNs, with detection probability and probability of false alarm as the performance metrics. Also, we derive a closed form expression for the probability of PU being inside SU's sensing range. Based on the proposed framework, numerical results show great agreement with analysis, yielding a superior performance.

Original languageEnglish
Title of host publication2019 IEEE 89th Vehicular Technology Conference (VTC Spring), Proceedings
EditorsMahamod Ismail, James Irvine
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1213-1218
Number of pages6
ISBN (Electronic)9781728112176, 9781728112169
ISBN (Print)9781728112183
DOIs
Publication statusPublished - 2019
EventIEEE Vehicular Technology Conference 2019 (Spring) - Kuala Lumpur, Malaysia
Duration: 28 Apr 20191 May 2019
Conference number: 89th
https://ieeexplore.ieee.org/xpl/conhome/8738891/proceeding (Proceedings)

Publication series

NameIEEE Vehicular Technology Conference
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Volume2019-April
ISSN (Print)1550-2252

Conference

ConferenceIEEE Vehicular Technology Conference 2019 (Spring)
Abbreviated titleVTC Spring 2019
Country/TerritoryMalaysia
CityKuala Lumpur
Period28/04/191/05/19
Internet address

Keywords

  • Cognitive vehicular networks
  • Improved energy detection
  • Pu activity
  • Secondary user mobility

Cite this