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Title: Proactive caching in mobile networks
Author: Zheng, Gao
ISNI:       0000 0004 7970 064X
Awarding Body: King's College London
Current Institution: King's College London (University of London)
Date of Award: 2019
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This thesis keeps a close eye on the cache allocation problems in future mobile networks. Mobility-aware cache allocation methods are tailored to the Information/ Content Centric Networking, Software Define Networking as well as Network Function Virtualization paradigms which are considered as the enablers towards flexible 5G networks. The methods developed were depicted as various optimization frameworks that were based on classic theories including Game Theory and Optimization Theory. The formulized optimization frameworks were solved via various methods i.e. Integer Linear Programming, Convex Optimization and dual methods. Heuristic methods (e.g., Genetic Algorithm) were utilized for reducing the computational difficulty of the methods developed. The attainable system performance of the caching allocation methods developed were tested in a wide range of simulations. The methods developed have achieved excellent performance especially in the public transportation scenarios. The research conducted in the thesis has not put much attention on the two sub-problems: what content to be cached and when to update the cache profiles. The research of these two sub-problems remains open and it can be a strong supportive complement to the methods developed in this thesis. The thesis has contributed to the new network paradigms by enhancing their ability of handling high mobility applications. In summary, the research conducted in the thesis should provide theoretic guidance for the caching deployment in future mobile networks.
Supervisor: Friderikos, Vasilis ; Nallanathan, Arumugam Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available