Visible to the public Evaluation of Network Assisted Handoffs in Heterogeneous Networks

TitleEvaluation of Network Assisted Handoffs in Heterogeneous Networks
Publication TypeConference Paper
Year of Publication2020
AuthorsNetalkar, P. P., Maheshwari, S., Raychaudhuri, D.
Conference Name2020 29th International Conference on Computer Communications and Networks (ICCCN)
Date PublishedAug. 2020
PublisherIEEE
ISBN Number978-1-7281-6607-0
Keywords5G, 5G mobile communication, beyond 5G networks, clean slate, Collaboration, Computer architecture, Distributed Mobility Management, DMM, Handover, hard handoff, heterogeneous networks, Human Behavior, ICN, information centric network architecture, Internet, IP network, IP networks, LTE, Metrics, mobile computing, mobility management (mobile radio), multihoming, named-object, network assisted handoffs, ORBIT testbed, policy-based approach, pubcrawl, Rebinding, resilience, Resiliency, seamless data transfer, soft handoff, Throughput, WiFi
Abstract

This paper describes a novel distributed mobility management (DMM) scheme for the "named-object" information centric network (ICN) architecture in which the routers forward data based on unique identifiers which are dynamically mapped to the current network addresses of a device. The work proposes and evaluates two specific handover schemes namely, hard handoff with rebinding and soft handoff with multihoming intended to provide seamless data transfer with improved throughput during handovers. The evaluation of the proposed handover schemes using system simulation along with proof-of-concept implementation in ORBIT testbed is described. The proposed handoff and scheduling throughput gains are 12.5% and 44% respectively over multiple interfaces when compared to traditional IP network with equal share split scheme. The handover performance with respect to RTT and throughput demonstrate the benefits of clean slate network architecture for beyond 5G networks.

URLhttps://ieeexplore.ieee.org/document/9209608
DOI10.1109/ICCCN49398.2020.9209608
Citation Keynetalkar_evaluation_2020