Volume 2, Issue 2, PP: 68-76, 2021 | Cite this article as | XML | | Html PDF
Aaras Y.kraidi 1 * , A. Rajalingam 2
Doi: https://doi.org/10.54216/IJWAC.020205
Radio-frequency-based systems are exhibiting severe bandwidth congestion as a result of the exponential development in the amount of data flow. Both cognitive radio technology and free-space-optical communication are examples of attempts to find solutions to the problems posed by high data rates and limited spectral bandwidth. Operating an optical wireless transmission system does not need the purchase of a license. Additionally, the accommodation of unlicensed users across the restricted frequency that is accessible to us is the foundation of the technology known as cognitive radio. Since Dynamic-Window Size systems do not need a license, they are very cost-effective, they can be readily deployed, and they provide a high bandwidth; hence, Dynamic-Window Size systems may be used to bridge with the existing Radio Frequency system. Within the framework of the proposed Dynamic-Window-Size system, the Radio Frequency link is modeled based on the Rayleigh distribution, whilst the Dynamic-Window-Size link experiences -/IG composite fading. It is possible to determine both the moment-generating function (MGF) and its derivative. By making use of the formulas that were derived from them, various performance metrics, such as ergodic channel capacity, bit error rate (BER), and output power are calculated, along with the validations that are provided by asymptotic findings. In addition to this, a new closed-form identity is discovered that relates to a specific instance of Bessel's function. In addition to the convex optimization that was mentioned above for the purpose of optimizing the overlay and underlay power in the scheme that was presented, the performance of the Cognitive Radio network is evaluated by making use of a variety of pulse-shaping windows. Suppressing the side lobes of the primary users' (PUs') sub-carriers is a way to reduce the amount of interference that primary users cause for secondary users without harming the primary users' own transmissions. This study involves the creation of a variety of pulse-shaping windows across a variety of power allocation systems as well as an examination of how these windows compare to one another.
Radio Frequency , Dynamic-Window Size system , Cognitive Radio network , moment-generating function.
[1] Di Ciaula, A. (2018). Towards 5G communication systems: Are there health
implications?. International journal of hygiene and environmental health, 221(3), 367-
375.
[2] Akpakwu, G. A., Silva, B. J., Hancke, G. P., & Abu-Mahfouz, A. M. (2017). A survey
on 5G networks for the Internet of Things: Communication technologies and
challenges. IEEE access, 6, 3619-3647.
[3] Thompson, J., Ge, X., Wu, H. C., Irmer, R., Jiang, H., Fettweis, G., & Alamouti, S.
(2014). 5G wireless communication systems: Prospects and challenges [Guest
Editorial]. IEEE communications magazine, 52(2), 62-64.
[4] Hossain, S. (2013). 5G wireless communication systems. American Journal of
Engineering Research (AJER), 2(10), 344-353.
[5] Panwar, N., Sharma, S., & Singh, A. K. (2016). A survey on 5G: The next generation
of mobile communication. Physical Communication, 18, 64-84.
[6] Gohil, A., Modi, H., & Patel, S. K. (2013, March). 5G technology of mobile
communication: A survey. In 2013 international conference on intelligent systems and
signal processing (ISSP) (pp. 288-292). IEEE.
[7] Ullah, H., Nair, N. G., Moore, A., Nugent, C., Muschamp, P., & Cuevas, M. (2019).
5G communication: an overview of vehicle-to-everything, drones, and healthcare usecases.
IEEE Access, 7, 37251-37268.
[8] Liu, X., Jia, M., Zhang, X., & Lu, W. (2018). A novel multichannel Internet of Things
based on dynamic spectrum sharing in 5G communication. IEEE Internet of Things
Journal, 6(4), 5962-5970.
[9] Wang, Y., Chen, Q., Zhang, N., Feng, C., Teng, F., Sun, M., & Kang, C. (2019).
Fusion of the 5G communication and the ubiquitous electric internet of things:
application analysis and research prospects. Dianwang Jishu/Power System
Technology.
[10] Liu, G., & Jiang, D. (2016). 5G: Vision and requirements for mobile communication
system towards year 2020. Chinese Journal of Engineering, 2016(2016), 8.
[11] Kabalci, Y. (2019). 5G mobile communication systems: Fundamentals, challenges,
and key technologies. In Smart grids and their communication systems (pp. 329-359).
Springer, Singapore.
[12] Mowla, M. M., Ahmad, I., Habibi, D., & Phung, Q. V. (2017). A green
communication model for 5G systems. IEEE Transactions on Green Communications
and Networking, 1(3), 264-280.
[13] Salih, A. A., Zeebaree, S. R., Abdulraheem, A. S., Zebari, R. R., Sadeeq, M. A., &
Ahmed, O. M. (2020). Evolution of mobile wireless communication to 5G
revolution. Technology Reports of Kansai University, 62(5), 2139-2151.
[14] Elayan, H., Amin, O., Shubair, R. M., & Alouini, M. S. (2018, April). Terahertz
communication: The opportunities of wireless technology beyond 5G. In 2018
International Conference on Advanced Communication Technologies and Networking
(CommNet) (pp. 1-5). IEEE.
[15] Kaur, K., Kumar, S., & Baliyan, A. (2020). 5G: a new era of wireless
communication. International Journal of Information Technology, 12(2), 619-624.
[16] Gustavsson, U., Frenger, P., Fager, C., Eriksson, T., Zirath, H., Dielacher, F., ... &
Carvalho, N. B. (2021). Implementation challenges and opportunities in beyond-5G
and 6G communication. IEEE Journal of Microwaves, 1(1), 86-100.
[17] Seker, C., Güneser, M. T., & Ozturk, T. (2018, October). A review of millimeter wave
communication for 5G. In 2018 2nd International Symposium on Multidisciplinary
Studies and Innovative Technologies (ISMSIT) (pp. 1-5). Ieee.
[18] K. Kalpana, B. Paulchamy, S. Chinnapparaj, K. Mahendrakan And A. Abdulhayum,
"A Novel Design Of Nano Scale TIEO Based Single Layer Full Adder And Full
Subractor In Qca Paradigm," 2021 5th International Conference On Intelligent
Computing And Control Systems (ICICCS), 2021, Pp. 575-582, Doi:
10.1109/Iciccs51141.2021.9432098.
[19] K.Kalpana B.Paulchamy, J.Jaya, “Modified Maste Key Based Multipath
Reinfo cement P e Dist ibution Scheme Fo Wi eless Senso Netwo ks”, Jou nal
International Journal Of Innovative Technology And Exploring Engineering (IJITEE),
Volume 8, Issue 10,2019,pp.2397-2400.
[20] Arun, S. & Harish, G. & Salomon, K. & Saravanan, R. & Kalpana,
K, “Neu al Netwo ks and Genetic Algo ithm Based Intelligent Robot Fo Face
Recognition And Obstacle Avoidance”, Inte national Confe ence on Cu ent T ends in
Engineering and Technology, ICCTET 2013,pp. 356-361
