An analytical study of the Primary User activity pattern effect on the performance of cooperative opportunistic networks

Abdel-Raheem, Mohamed; ElNainay, Mustafa

doi:10.1109/iccnc.2017.7876225

Cited by 3 publications

(1 citation statement)

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“…In [8], the authors analyzed the achievable the SU's reliable communication rate affected by sensing errors. The SU's performance, such as transmission efficiency and throughput, is affected by the PU's activity mode [9]. In [10], the authors assumed that the duration of channel idle and busy states follows the exponential distribution.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Distribution of Primary Channel Periods Based on Imperfect Spectrum Sensing in Cognitive Radio

Shentu²,

Gao

2022

IEEE Access

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Spectrum occupancy modeling plays an important role in improving the performance of Cognitive Radio (CR) systems, because most of the methods to improve Dynamic Spectrum Access (DSA) performance need to make assumptions about the channel periods' distribution. However, Secondary Users (SUs) cannot directly observe the accurate channel periods' distribution due to the sensing errors caused by noise, which will lead to inaccurate analysis of transmission efficiency or throughput. In this paper, we analyze the influence of different types of sensing errors on the observed channel periods, and establish the relationship between the Probability Mass Function (PMF) of idle periods under Imperfect Spectrum Sensing (ISS) and the results under Perfect Spectrum Sensing (PSS). In addition, we derive a closed-form expression for estimating the PMF of channel periods from the sensing results under ISS. Simulation results show that the proposed estimation method is more accurate than the existing methods, and is not affected by the sensing period, channel mean period and sensing error probability. INDEX TERMSCognitive radio, dynamic spectrum access, spectrum sensing, modeling, spectrum occupancy. XIANG GAO received the B.S. degree in electronic information science and technology from Shandong University, Weihai, China, in 2006, and the M.E. and ph.D. degrees in communication engineering from Korea University of Technology and Education, Cheonnan, Korea, in 2008 and 2012, respectively. He is currently a Lecturer and a Supervisor of master's students with Shandong University, Weihai, China. His research interests include internet of things technology, cognitive radio and quantum communication.

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Section: Introductionmentioning

confidence: 99%