An adaptable cell load estimation and energy management method based CRN with generative adversarial network (GAN) for 6G and beyond 6G

An adaptable cell load estimation and energy management method based CRN with generative adversarial network (GAN) for 6G and beyond 6G.

M JANAKI RAMAN,                                        Mr Ragaganapathy.G                                                  Dr. K. RAVIKUMAR

Departmnet of CSE,                                         Assistant Professor                                                      Professor, Department of Cse

Rrase College of Engineering,                        Rrase College of Engineering,                                   Rrase College of Enginnering

Chennnai                                                            Chennnai                                                                       Chennai

Abstract:

Communication requirements for the cognitive radio networks need novel solutions, to overcome the limitations of dynamic spectrum access. In this regard, the hybrid enhanced adaptive acknowledgement (HEAACK) was introduced at the mobile Internet Protocol (IP) layer to allow cognitive mobile users to use their channel as long as possible, to avoid any increase in interruption loss due to unnecessary channel adaptations. .  In this paper, the Transport-layer (TCP) performance is examined with the HEAACK application, to evaluate the TCP/IP interface effects and to analyses the performance on congestion control and capacity utilization.