Impact of primary user activity statistics in cognitive vehicular networks
Due to the scarcity of channel availability in IEEE 802.11p standard, applications related to infotainment and multimedia services are vulnerable to suffer from delays and connectivity. Cognitive radio (CR) has the potential to overcome the issue of spectrum scarcity. By making use of the CR technol...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/163824 |
| _version_ | 1811686693173985280 |
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| author | Patel, Dhaval K. Kavaiya, Sagar Ding, Zhiguo Guan, Yong Liang Sun, Sumei |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Patel, Dhaval K. Kavaiya, Sagar Ding, Zhiguo Guan, Yong Liang Sun, Sumei |
| author_sort | Patel, Dhaval K. |
| collection | NTU |
| description | Due to the scarcity of channel availability in IEEE 802.11p standard, applications related to infotainment and multimedia services are vulnerable to suffer from delays and connectivity. Cognitive radio (CR) has the potential to overcome the issue of spectrum scarcity. By making use of the CR technology, secondary users (SU) can access a radio frequency spectrum other than 802.11p through spectrum sensing. Majority of low complex existing algorithms are based on energy detection that are considering the static environment of SUs. In practice, the algorithms, which considers mobility are mainly focused on low vehicle speed. However, the combined effect of primary user (PU) activity statistics and SU mobility has not been tackled while evaluating the performance of opportunistic spectrum access. In particular, this work considers the joint impact of PU activity and vehicle mobility on spectrum sensing performance by considering single lane and double lane vehicular scenarios. We also evaluate the impact of traffic densities on sensing performance. The main contribution of this work is to show the impact of PU activity statistics on sensing performance by deriving analytical expressions for miss-detection probability. These expressions are used for analysis and simulation of cognitive radio enabled vehicular communications. From our observations, it is noted that the probability of vehicle connectivity is improved approximately by 50% for initial distance of SU when spectrum sensing is employed under PU activity. |
| first_indexed | 2024-10-01T05:04:28Z |
| format | Journal Article |
| id | ntu-10356/163824 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:04:28Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1638242022-12-19T05:37:02Z Impact of primary user activity statistics in cognitive vehicular networks Patel, Dhaval K. Kavaiya, Sagar Ding, Zhiguo Guan, Yong Liang Sun, Sumei School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Primary Activity Statistics Medium-Dense Traffic Due to the scarcity of channel availability in IEEE 802.11p standard, applications related to infotainment and multimedia services are vulnerable to suffer from delays and connectivity. Cognitive radio (CR) has the potential to overcome the issue of spectrum scarcity. By making use of the CR technology, secondary users (SU) can access a radio frequency spectrum other than 802.11p through spectrum sensing. Majority of low complex existing algorithms are based on energy detection that are considering the static environment of SUs. In practice, the algorithms, which considers mobility are mainly focused on low vehicle speed. However, the combined effect of primary user (PU) activity statistics and SU mobility has not been tackled while evaluating the performance of opportunistic spectrum access. In particular, this work considers the joint impact of PU activity and vehicle mobility on spectrum sensing performance by considering single lane and double lane vehicular scenarios. We also evaluate the impact of traffic densities on sensing performance. The main contribution of this work is to show the impact of PU activity statistics on sensing performance by deriving analytical expressions for miss-detection probability. These expressions are used for analysis and simulation of cognitive radio enabled vehicular communications. From our observations, it is noted that the probability of vehicle connectivity is improved approximately by 50% for initial distance of SU when spectrum sensing is employed under PU activity. Agency for Science, Technology and Research (A*STAR) This work was supported in part by DST-ASEAN under Grant IMRC/AISTDF/R&D/P-09/2017, and in part by A*STAR under Grant RIE2020 Advanced Manufacturing and Engineering (AME) Industry Alignment Fund - Pre Positioning (IAF-PP) under Grant A19D6a0053. 2022-12-19T05:37:02Z 2022-12-19T05:37:02Z 2021 Journal Article Patel, D. K., Kavaiya, S., Ding, Z., Guan, Y. L. & Sun, S. (2021). Impact of primary user activity statistics in cognitive vehicular networks. IEEE Transactions On Vehicular Technology, 71(3), 2859-2873. https://dx.doi.org/10.1109/TVT.2021.3138253 0018-9545 https://hdl.handle.net/10356/163824 10.1109/TVT.2021.3138253 2-s2.0-85122061793 3 71 2859 2873 en A19D6a0053 IEEE Transactions on Vehicular Technology © 2021 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Primary Activity Statistics Medium-Dense Traffic Patel, Dhaval K. Kavaiya, Sagar Ding, Zhiguo Guan, Yong Liang Sun, Sumei Impact of primary user activity statistics in cognitive vehicular networks |
| title | Impact of primary user activity statistics in cognitive vehicular networks |
| title_full | Impact of primary user activity statistics in cognitive vehicular networks |
| title_fullStr | Impact of primary user activity statistics in cognitive vehicular networks |
| title_full_unstemmed | Impact of primary user activity statistics in cognitive vehicular networks |
| title_short | Impact of primary user activity statistics in cognitive vehicular networks |
| title_sort | impact of primary user activity statistics in cognitive vehicular networks |
| topic | Engineering::Electrical and electronic engineering Primary Activity Statistics Medium-Dense Traffic |
| url | https://hdl.handle.net/10356/163824 |
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