Deep cooperative spectrum sensing based on residual neural network using feature extraction and random forest classifier
Some bands in the frequency spectrum have become overloaded and others underutilized
due to the considerable increase in demand and user allocation policy. Cognitive radio …
due to the considerable increase in demand and user allocation policy. Cognitive radio …
Improved detection performance of energy detection based spectrum sensing in cognitive radio networks
C Sudhamani, A Saxena… - International Journal of …, 2021 - ingentaconnect.com
Background: In cognitive radio networks, spectrum sensing plays an important role in
identifying the underutilized spectrum bands. Conventional spectrum sensing by the energy …
identifying the underutilized spectrum bands. Conventional spectrum sensing by the energy …
[HTML][HTML] Cross-platform strong privacy protection mechanism for review publication
M Li, Y Wang, Y Xin, H Zhu, Q Tang, Y Chen… - Security and …, 2021 - hindawi.com
As a review system, the Crowd-Sourced Local Businesses Service System (CSLBSS) allows
users to publicly publish reviews for businesses that include display name, avatar, and …
users to publicly publish reviews for businesses that include display name, avatar, and …
Real-Time Implementation of Enhanced Energy-Based Detection Technique
V Sharma, S Joshi - Proceedings of the International Conference on …, 2021 - Springer
The paper explains the development of an efficient energy detection technique and its real-
time implementation using wireless access research platform (WARP). An improved energy …
time implementation using wireless access research platform (WARP). An improved energy …
Possible adoption of various machine learning techniques in cognitive radio-a survey
The concept of cognitive radio (CR) system is the need for next generation wireless
communication technology in terms of providing intelligence and superior performance to a …
communication technology in terms of providing intelligence and superior performance to a …