MUACLP Modeling Unified Architecture of Cross Layer Parameters Strategy of Handoff for Next Generation Wireless Network

  • Hemavathi
  • et al.
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Abstract

The Quality of Service and Quality of experience is always a goal of future generation wireless systems. A suitably designed handoff plays an important role in achieving these goals. The traditional methods of handoff for wireless systems pose challenges in handling the smooth transition in the heterogeneous architecture of future generation architecture. This paper induces a model for synchronization of seamless handoff for a mobile user from a unified access point of a large cell to the small cell. The study is carried out considering a novel analytical model for facilitating a better form of vertical handoff mechanism in order to facilitate communication over 5G networks. The modeling is carried out considering the efficiency of channel capacity as well as considering near real-time constraint of latency and throughput. The typical design assumption for the unified architecture of the model for the handoff is for future generation wireless network that includes various physical layer parameters. For an effective analysis, the study considers that the receiving node will be identified on the basis of the non-erroneous node as the idea is to increase the proper utilization of the network resources. The core agenda of the study will be to ensure that irrespective of any form of traffic intensity as well as variable resource availability, the proposed scheme should be able to offer an extensive communication with the seamless performance during handoff operation. The study outcome exhibits that the proposed system offers better vertical handoff performance in contrast to the existing system on various test cases.

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Hemavathi, & Akhila, S. (2020). MUACLP Modeling Unified Architecture of Cross Layer Parameters Strategy of Handoff for Next Generation Wireless Network. International Journal of Engineering and Advanced Technology, 9(5), 1246–1252. https://doi.org/10.35940/ijeat.e1091.069520

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