IEICE TRANSACTIONS on Communications
Optimization of MAC-Layer Sensing Based on Alternating Renewal Theory in Cognitive Radio Networks
Summary :
Cognitive radio (CR) is considered as the most promising solution to the so-called spectrum scarcity problem, in which channel sensing is an important problem. In this paper, the problem of determining the period of medium access control (MAC)-layer channel sensing in cognitive radio networks (CRNs) is studied. In our study, the channel state is statistically modeled as a continuous-time alternating renewal process (ARP) alternating between the OFF and ON states for the primary user (PU)'s communication activity. Based on the statistical ARP model, we analyze the CRNs with different SU MAC protocols, taking into consideration the effects of practical issues of imperfect channel sensing and non-negligible channel sensing time. Based on the analysis results, a constrained optimization problem to find the optimal sensing period is formulated and the feasibility of this problem is studied for systems with different OFF/ON channel state length distributions. Numerical results are presented to show the performance of the proposed sensing period optimization scheme. The effects of practical system parameters, including channel sensing errors and channel sensing time, on the performance and the computational complexity of the proposed sensing period optimization scheme are also investigated.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E101-B No.3 pp.865-876
- Publication Date
- 2018/03/01
- Publicized
- 2017/09/14
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2017EBP3028
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Zhiwei MAO
Fairleigh Dickinson University
Xianmin WANG
Cypress Semiconductor
Keyword
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Zhiwei MAO, Xianmin WANG, "Optimization of MAC-Layer Sensing Based on Alternating Renewal Theory in Cognitive Radio Networks" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 3, pp. 865-876, March 2018, doi: 10.1587/transcom.2017EBP3028.
Abstract: Cognitive radio (CR) is considered as the most promising solution to the so-called spectrum scarcity problem, in which channel sensing is an important problem. In this paper, the problem of determining the period of medium access control (MAC)-layer channel sensing in cognitive radio networks (CRNs) is studied. In our study, the channel state is statistically modeled as a continuous-time alternating renewal process (ARP) alternating between the OFF and ON states for the primary user (PU)'s communication activity. Based on the statistical ARP model, we analyze the CRNs with different SU MAC protocols, taking into consideration the effects of practical issues of imperfect channel sensing and non-negligible channel sensing time. Based on the analysis results, a constrained optimization problem to find the optimal sensing period is formulated and the feasibility of this problem is studied for systems with different OFF/ON channel state length distributions. Numerical results are presented to show the performance of the proposed sensing period optimization scheme. The effects of practical system parameters, including channel sensing errors and channel sensing time, on the performance and the computational complexity of the proposed sensing period optimization scheme are also investigated.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3028/_p
Copy
@ARTICLE{e101-b_3_865,
author={Zhiwei MAO, Xianmin WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimization of MAC-Layer Sensing Based on Alternating Renewal Theory in Cognitive Radio Networks},
year={2018},
volume={E101-B},
number={3},
pages={865-876},
abstract={Cognitive radio (CR) is considered as the most promising solution to the so-called spectrum scarcity problem, in which channel sensing is an important problem. In this paper, the problem of determining the period of medium access control (MAC)-layer channel sensing in cognitive radio networks (CRNs) is studied. In our study, the channel state is statistically modeled as a continuous-time alternating renewal process (ARP) alternating between the OFF and ON states for the primary user (PU)'s communication activity. Based on the statistical ARP model, we analyze the CRNs with different SU MAC protocols, taking into consideration the effects of practical issues of imperfect channel sensing and non-negligible channel sensing time. Based on the analysis results, a constrained optimization problem to find the optimal sensing period is formulated and the feasibility of this problem is studied for systems with different OFF/ON channel state length distributions. Numerical results are presented to show the performance of the proposed sensing period optimization scheme. The effects of practical system parameters, including channel sensing errors and channel sensing time, on the performance and the computational complexity of the proposed sensing period optimization scheme are also investigated.},
keywords={},
doi={10.1587/transcom.2017EBP3028},
ISSN={1745-1345},
month={March},}
Copy
TY - JOUR
TI - Optimization of MAC-Layer Sensing Based on Alternating Renewal Theory in Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 865
EP - 876
AU - Zhiwei MAO
AU - Xianmin WANG
PY - 2018
DO - 10.1587/transcom.2017EBP3028
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2018
AB - Cognitive radio (CR) is considered as the most promising solution to the so-called spectrum scarcity problem, in which channel sensing is an important problem. In this paper, the problem of determining the period of medium access control (MAC)-layer channel sensing in cognitive radio networks (CRNs) is studied. In our study, the channel state is statistically modeled as a continuous-time alternating renewal process (ARP) alternating between the OFF and ON states for the primary user (PU)'s communication activity. Based on the statistical ARP model, we analyze the CRNs with different SU MAC protocols, taking into consideration the effects of practical issues of imperfect channel sensing and non-negligible channel sensing time. Based on the analysis results, a constrained optimization problem to find the optimal sensing period is formulated and the feasibility of this problem is studied for systems with different OFF/ON channel state length distributions. Numerical results are presented to show the performance of the proposed sensing period optimization scheme. The effects of practical system parameters, including channel sensing errors and channel sensing time, on the performance and the computational complexity of the proposed sensing period optimization scheme are also investigated.
ER -
English
