Seamless Handover in IP over ICN Networks: a Coding Approach

Al-Khalidi, Mohammed, Thomos, Nikolaos, Reed, Martin J., AL-Naday, Mays F. and Trossen, Dirk (2017) Seamless Handover in IP over ICN Networks: a Coding Approach. 2017 IEEE International Conference on Communications (ICC). ISSN 1938-1883 DOI https://doi.org/10.1109/ICC.2017.7997398

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Abstract

Seamless connectivity plays a key role in realizing QoS-based delivery in mobile networks. However, current handover mechanisms hinder the ability to meet this target, due to the high ratio of handover failures, packet loss and service interruption. These challenges are further magnified in Heterogeneous Cellular Networks (HCN) such as Advanced Long Term Evolution (LTE-Advanced) and LTE in unlicensed spectrum (LTE-LAA), due to the variation in handover requirements. Although mechanisms, such as Fast Handover for Proxy Mobile IPv6 (PFMIPv6), attempt to tackle these issues; they come at a high cost with sub-optimal outcomes. This primarily stems from various limitations of existing IP core networks. In this paper we propose a novel handover solution for mobile networks, exploiting the advantages of a revolutionary IP over Information-Centric Networking (IP-over-ICN) architecture in supporting flexible service provisioning through anycast and multicast, combined with the advantages of random linear coding techniques in eliminating the need for retransmissions. Our solution allows coded traffic to be disseminated in a multicast fashion during handover phase from source directly to the destination(s), without the need for an intermediate anchor as in exiting solutions; thereby, overcoming packet loss and handover failures, while reducing overall delivery cost. We evaluate our approach with an analytical and simulation model showing significant cost reduction compared to PFMIPv6.

Item Type: Article
Additional Information: Date of Conference: 21-25 May 2017
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computing and Information Systems
Date Deposited: 18 Dec 2018 14:38
URI: http://repository.edgehill.ac.uk/id/eprint/10926

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