Asif Kabir, Syed Mushhad Gilani, Gohar Rehmanc, S. H. Sabahat, József Popp, Muhammad Arshad Shehzad Hassan, Judit Oláh
Energy-aware caching and collaboration for green communication systems
Číslo: 1/2021
Periodikum: Acta Montanistica Slovaca
DOI: 10.46544/AMS.v26i1.04
Klíčová slova: Edge caching, renewable energy, energy efficiency, small cell cooperation, green communication, 5G
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high-quality content access. To meet the growing demand for data
services in 5G cellular networks, it is important to develop effective
content caching and distribution techniques, to reduce redundant data
transmission and thereby improve network efficiency significantly. It
is anticipated that energy harvesting and self-powered Small Base
Stations' (SBS) are the rudimentary constituents of next-generation
cellular networks. However, uncertainties in harvested energy are the
primary reasons to opt for energy-efficient (EE) power control
schemes to reduce SBS energy consumption and ensure the quality
of services for users. Using edge collaborative caching, such EE
design can also be achievable via the use of the content cache,
decreasing the usage of capacity limited SBSs backhaul and reducing
energy utilisation. Renewable energy (RE) harvesting technologies
can be leveraged to manage the huge power demands of cellular
networks. To reduce carbon footprint and improve energy efficiency,
we tailored a more practical approach and propose green caching
mechanisms for content distribution that utilise the content caching
and renewable energy concept. Simulation results and analysis
provide key insights that the proposed caching scheme brings a
substantial improvement regarding content availability, cache
storage capacity at the edge of cellular networks, enhances energy
efficiency, and increases cache collaboration time up to 24%.
Furthermore, self-powered base stations and energy harvesting are an
ultimate part of next-generation wireless networks, particularly in
terms of optimum economic sustainability and green energy in
developing countries for the evolution of mobile networks.