Intelligent vertical handoff decision strategy based on network performance prediction and consumer surplus value for next generation wireless networks

IET Networks ◽  
2017 ◽  
Vol 6 (4) ◽  
pp. 69-74
Author(s):  
Dhanaraj Cheelu ◽  
Rajasekhara Babu Madda ◽  
Chi‐Yuan Chen ◽  
P. Venkata Krishna ◽  
Sumanth Yenduri
2018 ◽  
Vol 3 (12) ◽  
pp. 91-97
Author(s):  
C S Jayasheela ◽  
Dr Gowrishankar

Next Generation Wireless Networks (NGWNs) focus on providing consistent Quality of Service (QoS) to network users; to achieve this goal, Cooperative Communication (CC) framework is popularly utilized. Here, multiple wireless networks cooperate to provide consistent QoS to the user. Vertical Handoff (VH) is one of the extensively used techniques in CC framework. Here, the user, whose original network is unable to provide requested QoS is migrated to neighboring wireless network--which can deliver the requested QoS. In the literature, raft of techniques have been presented for VH. However, almost all these techniques have ignored formal methods to analyze reliability and robustness of handoff decisions, which are extremely essential to support the merits of handoff decisions. In this work, formal methods to analyze reliability and robustness of handoff decisions are presented. The proposed VH technique is achieved through Long Short Term Memory (LSTM) architecture. Simulation results exhibit the relative merits of the proposed VH technique in-terms of reliability and robustness against contemporary VH technique.


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