Clustering transmission opportunity length (CTOL) model over cognitive radio network

Mas Haslinda Mohamad, Aduwati Sali, Fazirulhisyam Hashim, Rosdiadee Nordin, Osamu Takyu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper investigated the throughput performance of a secondary user (SU) for a random primary user (PU) activity in a realistic experimental model. This paper proposed a sensing and frame duration of the SU to maximize the SU throughput under the collision probability constraint. The throughput of the SU and the probability of collisions depend on the pattern of PU activities. The pattern of PU activity was obtained and modelled from the experimental data that measure the wireless local area network (WLAN) environment. The WLAN signal has detected the transmission opportunity length (TOL) which was analyzed and clustered into large and small durations in the CTOL model. The performance of the SU is then analyzed and compared with static and dynamic PU models. The results showed that the SU throughput in the CTOL model was higher than the static and dynamic models by almost 45% and 12.2% respectively. Furthermore, the probability of collisions in the network and the SU throughput were influenced by the value of the minimum contention window and the maximum back-off stage. The simulation results revealed that the higher contention window had worsened the SU throughput even though the channel has a higher number of TOLs.

Original languageEnglish
Article number4351
JournalSensors (Switzerland)
Volume18
Issue number12
DOIs
Publication statusPublished - 1 Dec 2018

Fingerprint

Cognitive radio
Radio
Local Area Networks
Cluster Analysis
Throughput
local area networks
collisions
Wireless local area networks (WLAN)
static models
Theoretical Models
dynamic models
Dynamic models
simulation

Keywords

  • Cognitive radio
  • Opportunistic access
  • Primary user
  • Secondary user
  • Transmission opportunity length
  • WLAN

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Clustering transmission opportunity length (CTOL) model over cognitive radio network. / Mohamad, Mas Haslinda; Sali, Aduwati; Hashim, Fazirulhisyam; Nordin, Rosdiadee; Takyu, Osamu.

In: Sensors (Switzerland), Vol. 18, No. 12, 4351, 01.12.2018.

Research output: Contribution to journalArticle

Mohamad, Mas Haslinda ; Sali, Aduwati ; Hashim, Fazirulhisyam ; Nordin, Rosdiadee ; Takyu, Osamu. / Clustering transmission opportunity length (CTOL) model over cognitive radio network. In: Sensors (Switzerland). 2018 ; Vol. 18, No. 12.
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