Open AccessNovel Analytical Framework for harnessing Cognitive Radio Resource Optimization in 5G Networks
Author(s) -
B P Vani,
Ramakrishnan Sundaraguru
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6655.129219
Subject(s) - cognitive radio , computer science , boosting (machine learning) , cognitive network , resource allocation , transmission (telecommunications) , convex optimization , computer network , distributed computing , wireless , artificial intelligence , telecommunications , regular polygon , geometry , mathematics
The adoption of cognitive radio technology is characterized by various beneficial characteristics that can facilitate better spectrum sensing performance in a 5G network and thereby acting as a boosting element towards a high data transmission rate. However, it is also characterized by various challenges that limit the significant development in resource utilization in 5G. Therefore, this paper introduces a novel and simplified mechanism that facilitates the 5G network to perform better in data transmission and its associated quality of it. The proposed system also performs modeling using practical constraints associated with the usage of cognitive radio over 5G networks using a convex optimization approach. The model is simulated using practical environmental parameters to prove that the proposed system excels better performance in faster processing and quality signal in contrast to the existing resource allocation scheme exercised in 5G networks.