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Edge caching in dense heterogeneous cellular networks with massive MIMO aided self-backhaul
journal contribution
posted on 2018-08-17, 13:12 authored by Lifeng Wang, Kai-Kit Wong, Sangarapillai LambotharanSangarapillai Lambotharan, Arumugam Nallanathan, Maged ElkashlanThis paper focuses on edge caching in dense heterogeneous cellular networks (HetNets), in which small base stations (SBSs) with limited cache size store the popular contents, and massive multiple-input multiple-output (MIMO) aided macro base stations provide wireless self-backhaul when SBSs require the non-cached contents. Our aim is to address the effects of cell load and hit probability on the successful content delivery (SCD), and present the minimum required base station density
for avoiding the access overload in an arbitrary small cell and backhaul overload in an arbitrary macrocell. The achievable rate of massive MIMO backhaul without any downlink channel estimation is derived to calculate the backhaul time, and the
latency is also evaluated in such networks. The analytical results confirm that hit probability needs to be appropriately selected, in order to achieve SCD. The interplay between cache size and
SCD is explicitly quantified. It is theoretically demonstrated that when non-cached contents are requested, the average delay of the non-cached content delivery could be comparable to the cached
content delivery with the help of massive MIMO aided selfbackhaul, if the average access rate of cached content delivery is lower than that of self-backhauled content delivery. Simulation results are presented to validate our analysis
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
IEEE Transactions on Wireless CommunicationsCitation
WANG, L. ... et al., 2018. Edge caching in dense heterogeneous cellular networks with massive MIMO aided self-backhaul. IEEE Transactions on Wireless Communications, 17 (9), pp.6360 - 6372.Publisher
Institute of Electrical and Electronics Engineers (IEEE)Version
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/Acceptance date
2018-07-10Publication date
2018-08-02Notes
This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/ISSN
1536-1276Publisher version
Language
- en