V2X Spectrum Allocation for Emergency Communication Using Cognitive Radio Transmission
Main Article Content
Abstract
Cognitive radio and complex spectrum connectivity are two other phenomena that influence the world of wireless networking. We have developed an experimental cognitive radio simulation system to research the role of information representation and reasoning technologies. A traditional radio often follows the same protocol when working in a certain contact mode and is effective or failing at a specified task. GPS has become a popular vehicular technology with an adaptation of 4G & 5G infrastructure. The GPS includes details on the current location and positioning of every vehicle. Some plans require the use of local wireless networks close to computer networking. Other recommendations include taking advantage of existing wireless networks to exchange this info. The reasons for the transmitted system rely on the frequency spectrum to be used. The paper aims to construct and first available allocation spectrum for transmission of emergency messages between vehicles and vehicles to infrastructure environments.
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Nyati, S., Suralkar, S., & Bhadade, U. (2022). V2X Spectrum Allocation for Emergency Communication Using Cognitive Radio Transmission. SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 14(01), 79-85. https://doi.org/10.18090/samriddhi.v14i01.13
Section
Research Article
References
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Information-centric cognitive radio networks for content
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Joint impacts of imperfect CSI and imperfect SIC in cognitive
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128629-128645. https://doi.org/10.1109/access.2020.3008788
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in Electrical Engineering and Computer Applications( AEECA).
https://doi.org/10.1109/aeeca49918.2020.9213635
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X. S. (2018). Cooperative vehicular content distribution in edge
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org/10.1049/ic.2015.0034
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(2018). 3D cellular network architecture with drones for beyond
5G. 2018 IEEE Global Communications Conference (GLOBECOM).
https://doi.org/10.1109/glocom.2018.8647225
[25] Mumtaz, S., Saidul Huq, K. M., Ashraf, M. I., Rodriguez,
J., Monteiro, V., & Politis, C. (2015). Cognitive vehicular
communication for 5G. IEEE Communications Magazine, 53(7),
109-117. https://doi.org/10.1109/mcom.2015.7158273
[26] Ojanpera, T., Makela, J., Mammela, O., Majanen, M., &
Martikainen, O. (2018). Use cases and communications
architecture for 5G-Enabled road safety services. 2018 European
Conference on Networks and Communications (EuCNC). https://
doi.org/10.1109/eucnc.2018.8443193
[27] Rahmati, A., He, X., Guvenc, I., & Dai, H. (2019). Dynamic
mobility-aware interference avoidance for aerial base stations in
cognitive radio networks. IEEE INFOCOM 2019 - IEEE Conference
on Computer Communications. https://doi.org/10.1109/
infocom.2019.8737472
[28] Saily, M., Estevan, C. B., Gimenez, J. J., Tesema, F., Guo, W.,
Gomez-Barquero, D., & Mi, D. (2020). 5G radio access network
architecture for terrestrial broadcast services. IEEE Transactions
on Broadcasting, 66(2), 404-415. https://doi.org/10.1109/
tbc.2020.2985906
[29] Nalluri, S. K., & Parasaram, V. K. B. (2015). Automating
Software Builds with Jenkins: Design Patterns and Failure
Handling. International Journal of Technology, Management
and Humanities, 1(01), 16-33.
https://doi.org/10.21590/ijtmh.01.02.03
[30] Sarfaraz, A., &Hammainen, H. (2017). 5G transformation: How
mobile network operators are preparing for transformation
to 5G ? 2017 Internet of Things Business Models, Users, and
Networks. https://doi.org/10.1109/ctte.2017.8260928
[31] Sharma, S., Awan, M. B., & Mohan, S. (2017). Cloud enabled
cognitive radio adhoc vehicular networking (CRAVENET) with
security aware resource management and internet of vehicles
(IoV) applications. 2017 IEEE International Conference on
Advanced Networks and Telecommunications Systems (ANTS).
https://doi.org/10.1109/ants.2017.8384186
[32] Silva, C., Nogueira, M., Kim, D., Cerqueira, E., & Santos, A.
(2016). Cognitive radio based connectivity management
for resilient end-to- end communications in VANETs.
Computer Communications, 79, 1-8. https://doi.org/10.1016/j.
comcom.2015.12.009
[33] Singh, H. (2020). Security in Amazon web services. Practical
Machine Learning with AWS, 45-62. https://doi.org/10.1007/978-
1-4842-6222-1_3
[34] Singh, S., Chiu, Y., Tsai, Y., & Yang, J. (2016). Mobile edge fog
computing in 5G era: Architecture and implementation.
2016 International Computer Symposium (ICS). https://doi.
org/10.1109/ics.2016.0151
[35] Song, X., Wang, K., Lei, L., Zhao, L., Li, Y., & Wang, J. (2020).
Interference minimization resource allocation for V2X
communication underlaying 5G cellular networks. Wireless
Communications and Mobile Computing, 2020, 1-9. https://
doi.org/10.1155/2020/2985367
[36] Sun, G., Liu, F., Lai, J., & Liu, G. (2014). Software defined
wireless network architecture for the next generation mobile
communication: Proposal and initial prototype. Journal of
Communications. https://doi.org/10.12720/jcm.9.12.946-953
[37] Vourgidis, I., Maglaras, L., Alfakeeh, A. S., Al-Bayatti, A. H.,
&Ferrag, M. A. (2020). A prediction - Communication P2V
framework for enhancing vulnerable road Users’ Safety. https://
doi.org/10.20944/preprints202001.0017.v1
[38] Wan, R., Ding, L., Xiong, N., & Zhou, X. (2019). Mitigation
strategy against spectrum-sensing data falsification attack
in cognitive radio sensor networks. International Journal of
Distributed Sensor Networks, 15(9), 155014771987064. https://
doi.org/10.1177/1550147719870645
[39] Yogarayan, S., Razak, S. F., Azman, A., & Abdullah, M. F. (2021).
Vehicle to everything (V2x) communications technology for
smart mobility in Malaysia: A comprehensive review. Journal
of Southwest Jiaotong University, 56(4), 534-563. https://doi.
org/10.35741/issn.0258-2724.56.4.47
doi.org/10.1016/b978-0-08-102267-2.00001-4
[2] Balakrishnan, P., Selvi, S. T., & Britto, G. R. (2008). GSMA based
automated negotiation model for grid scheduling. 2008 IEEE
International Conference on Services Computing. https://doi.
org/10.1109/scc.2008.59
[3] Boukerche, A., Coutinho, R. W., & Loureiro, A. A. (2019).
Information-centric cognitive radio networks for content
distribution in smart cities. IEEE Network, 33(3), 146-151. https://
doi.org/10.1109/mnet.2019.1800044
[4] Cheng, N., Lyu, F., Chen, J., Xu, W., Zhou, H., Zhang, S., & Shen, X.
(2018). Big data driven vehicular networks. IEEE Network, 32(6),
160-167. https://doi.org/10.1109/mnet.2018.1700460
[5] Dahlman, E., Parkvall, S., & Sköld, J. (2018). LTE/NR interworking
and coexistence. 5G NR: the Next Generation Wireless Access
Technology, 335-343. https://doi.org/10.1016/b978-0-12-
814323-0.00017-x
[6] Dikaiakos, M., Florides, A., Nadeem, T., &Iftode, L. (2007).
Location-aware services over vehicular ad-hoc networks using
car-to-car communication. IEEE Journal on Selected Areas in
Communications, 25(8), 1590-1602. https://doi.org/10.1109/
jsac.2007.071008
[7] Do, D., Anh Le, T., Nguyen, T. N., Li, X., & Rabie, K. M. (2020).
Joint impacts of imperfect CSI and imperfect SIC in cognitive
radio-assisted NOMA-V2X communications. IEEE Access, 8,
128629-128645. https://doi.org/10.1109/access.2020.3008788
[8] Do, D., Le, A., Hoang, T., & Lee, B. M. (2020). Cognitive
radio-assisted NOMA broadcasting for 5G cellular V2X
communications: Model of roadside unit selection and SWIPT.
Sensors, 20(6), 1786. https://doi.org/10.3390/s20061786
[9] Dung, L., & Choi, S. (2019). Connectivity analysis of cognitive
radio ad-hoc networks with multi-pair primary networks.
Sensors, 19(3), 565. https://doi.org/10.3390/s19030565
[10] Dung, L., Nguyen, B., & Hoang, T. (2019). A simulation analysis
of the connectivity of multi-hop path between two arbitrary
nodes in cognitive radio ad hoc networks. EAI Endorsed
Transactions on Industrial Networks and Intelligent Systems,
6(21), 160984. https://doi.org/10.4108/eai.24-10-2019.160984
[11] Durech, J., Franekova, M., &Holecko, P. (2015). VANET throughput
model scenarios for authorized V2V communication. 2015
IEEE 19th International Conference on Intelligent Engineering
Systems (INES). https://doi.org/10.1109/ines.2015.7329652
[12] Gao, Y., Zhang, X., & Ma, Y. (2017). Hybrid Sub-Nyquist spectrumsensing with geo-location database in M2M communications.
2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).
https://doi.org/10.1109/vtcfall.2017.8287975
[13] Gonzalez, S., & Ramos, V. (2016). Preset delay broadcast:
A protocol for fast information dissemination in vehicular
ad hoc networks (VANETs). EURASIP Journal on Wireless
Communications and Networking, 2016(1). https://doi.
org/10.1186/s13638-016-0614-4
[14] Hsin-Hung Cho, Chin-Feng Lai, Shih, T. K., & Han-Chieh Chao.
(2014). Integration of SDR and SDN for 5G. IEEE Access, 2, 1196-
1204. https://doi.org/10.1109/access.2014.2357435
[15] Huang, T., Yin, X., & Cao, Q. (2020). A new algorithm for
considering green communication and excellent sensing
performance in cognitive radio networks. International Journal
of Distributed Sensor Networks, 16(6), 155014772093313. https://
doi.org/10.1177/1550147720933131
[16] Jiang, D., &Delgrossi, L. (2008). IEEE 802.11p: Towards an
international standard for wireless access in vehicular
environments. VTC Spring 2008 - IEEE Vehicular Technology
Conference. https://doi.org/10.1109/vetecs.2008.458
[17] Kaippallimalil, J., & Xiang, A. (2019). 5G system architecture. 5G
System Design, 273-298. https://doi.org/10.1007/978-3-030-
22236-9_4
[18] LO, G. S., Niang, A. B., & Okereke, L. C. (2020). A course of
elementary probability course. https://doi.org/10.16929/
sts/2020.001
[19] Long, C., Du, X., Wang, D., & Liu, W. (2020). Research on
integrated security management and control technology of
big data information platform in the intelligent community
based on 5G. 2020 IEEE International Conference on Advances
in Electrical Engineering and Computer Applications( AEECA).
https://doi.org/10.1109/aeeca49918.2020.9213635
[20] Luo, G., Yuan, Q., Zhou, H., Cheng, N., Liu, Z., Yang, F., & Shen,
X. S. (2018). Cooperative vehicular content distribution in edge
computing assisted 5G-VANET. China Communications, 15(7),
1-17. https://doi.org/10.1109/cc.2018.8424578
[21] Luo, J., &Hubaux, J. (n.d.). A survey of research in inter-vehicle
communications. Embedded Security in Cars, 111-122. https://
doi.org/10.1007/3-540-28428-1_7
[22] Mademann, F. (2018). The 5G system architecture. Journal
of ICT Standardization, 6(1), 77-86. https://doi.org/10.13052/
jicts2245-800x.615
[23] Mahmoodi, T. (2015). 5G and software-defined networking
(SDN). 5G Radio Technology Seminar. Exploring Technical
Challenges in the Emerging 5G Ecosystem. https://doi.
org/10.1049/ic.2015.0034
[24] Mozaffari, M., Kasgari, A. T., Saad, W., Bennis, M., & Debbah, M.
(2018). 3D cellular network architecture with drones for beyond
5G. 2018 IEEE Global Communications Conference (GLOBECOM).
https://doi.org/10.1109/glocom.2018.8647225
[25] Mumtaz, S., Saidul Huq, K. M., Ashraf, M. I., Rodriguez,
J., Monteiro, V., & Politis, C. (2015). Cognitive vehicular
communication for 5G. IEEE Communications Magazine, 53(7),
109-117. https://doi.org/10.1109/mcom.2015.7158273
[26] Ojanpera, T., Makela, J., Mammela, O., Majanen, M., &
Martikainen, O. (2018). Use cases and communications
architecture for 5G-Enabled road safety services. 2018 European
Conference on Networks and Communications (EuCNC). https://
doi.org/10.1109/eucnc.2018.8443193
[27] Rahmati, A., He, X., Guvenc, I., & Dai, H. (2019). Dynamic
mobility-aware interference avoidance for aerial base stations in
cognitive radio networks. IEEE INFOCOM 2019 - IEEE Conference
on Computer Communications. https://doi.org/10.1109/
infocom.2019.8737472
[28] Saily, M., Estevan, C. B., Gimenez, J. J., Tesema, F., Guo, W.,
Gomez-Barquero, D., & Mi, D. (2020). 5G radio access network
architecture for terrestrial broadcast services. IEEE Transactions
on Broadcasting, 66(2), 404-415. https://doi.org/10.1109/
tbc.2020.2985906
[29] Nalluri, S. K., & Parasaram, V. K. B. (2015). Automating
Software Builds with Jenkins: Design Patterns and Failure
Handling. International Journal of Technology, Management
and Humanities, 1(01), 16-33.
https://doi.org/10.21590/ijtmh.01.02.03
[30] Sarfaraz, A., &Hammainen, H. (2017). 5G transformation: How
mobile network operators are preparing for transformation
to 5G ? 2017 Internet of Things Business Models, Users, and
Networks. https://doi.org/10.1109/ctte.2017.8260928
[31] Sharma, S., Awan, M. B., & Mohan, S. (2017). Cloud enabled
cognitive radio adhoc vehicular networking (CRAVENET) with
security aware resource management and internet of vehicles
(IoV) applications. 2017 IEEE International Conference on
Advanced Networks and Telecommunications Systems (ANTS).
https://doi.org/10.1109/ants.2017.8384186
[32] Silva, C., Nogueira, M., Kim, D., Cerqueira, E., & Santos, A.
(2016). Cognitive radio based connectivity management
for resilient end-to- end communications in VANETs.
Computer Communications, 79, 1-8. https://doi.org/10.1016/j.
comcom.2015.12.009
[33] Singh, H. (2020). Security in Amazon web services. Practical
Machine Learning with AWS, 45-62. https://doi.org/10.1007/978-
1-4842-6222-1_3
[34] Singh, S., Chiu, Y., Tsai, Y., & Yang, J. (2016). Mobile edge fog
computing in 5G era: Architecture and implementation.
2016 International Computer Symposium (ICS). https://doi.
org/10.1109/ics.2016.0151
[35] Song, X., Wang, K., Lei, L., Zhao, L., Li, Y., & Wang, J. (2020).
Interference minimization resource allocation for V2X
communication underlaying 5G cellular networks. Wireless
Communications and Mobile Computing, 2020, 1-9. https://
doi.org/10.1155/2020/2985367
[36] Sun, G., Liu, F., Lai, J., & Liu, G. (2014). Software defined
wireless network architecture for the next generation mobile
communication: Proposal and initial prototype. Journal of
Communications. https://doi.org/10.12720/jcm.9.12.946-953
[37] Vourgidis, I., Maglaras, L., Alfakeeh, A. S., Al-Bayatti, A. H.,
&Ferrag, M. A. (2020). A prediction - Communication P2V
framework for enhancing vulnerable road Users’ Safety. https://
doi.org/10.20944/preprints202001.0017.v1
[38] Wan, R., Ding, L., Xiong, N., & Zhou, X. (2019). Mitigation
strategy against spectrum-sensing data falsification attack
in cognitive radio sensor networks. International Journal of
Distributed Sensor Networks, 15(9), 155014771987064. https://
doi.org/10.1177/1550147719870645
[39] Yogarayan, S., Razak, S. F., Azman, A., & Abdullah, M. F. (2021).
Vehicle to everything (V2x) communications technology for
smart mobility in Malaysia: A comprehensive review. Journal
of Southwest Jiaotong University, 56(4), 534-563. https://doi.
org/10.35741/issn.0258-2724.56.4.47