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Asynchronous gateway reallocation communication in heterogeneous 5G networks
Author(s) -
Kodavati Baburao,
Ramarakula Madhu
Publication year - 2021
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4542
Subject(s) - computer science , computer network , backhaul (telecommunications) , handover , asynchronous communication , quality of service , wireless , wireless network , network packet , packet loss , efficient energy use , node (physics) , spectral efficiency , channel (broadcasting) , telecommunications , structural engineering , base station , electrical engineering , engineering
Summary Background Smart vision of the world is the latest challenge believing that 5G networks could feed all of our internet device needs. The exchange of information (data) needs not to go through backhaul because lots of capabilities will be available close to where it is needed. Presently, the majority of communications are based on single‐mode transmission. Communications will be more responsive and interactive due to 5G technology. The implementation of 5G faces various problems. It is necessary to improve the network capacity by densification, increasing spectrum, and measuring the spectral efficiency. And it also needs to reduce the latency, and it must be energy efficient. Purpose It is fit for inter‐access service network (ASN) (asynchronous) communications due to the incapability to maintain vertical handoff communications. The need for vertical handovers hinges on various factors that need to be analyzed concurrently with the signal strength in heterogeneous wireless environment. Methodology Thus, it proposed to utilize a vertical handover decision algorithm centered on the priority and speed of the subscriber. Implementation confirms the claim of the proposed method to achieve better channel utilization and maintains the QoS requirements of the mobile users. Findings Time latency calculation, evaluation of energy utilization between different nodes, and performance analysis packet loss are evaluated. Conclusion Better efficiency is attained for data transmission among the users that is one mobile node to other with commercial event management and appropriate processing in each node.