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Mode Selection and Power Allocation in Multi-level Cache-enabled Networks

Douik, Ahmed and Dahrouj, Hayssam and Amin, Osama and Al Oquibi, Bayan and Al-Naffouri, Tareq Y. and Alouini, Mohamed-Slim (2020) Mode Selection and Power Allocation in Multi-level Cache-enabled Networks. IEEE Communications Letters . ISSN 1089-7798. (In Press) https://resolver.caltech.edu/CaltechAUTHORS:20200522-121349589

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Abstract

Moving contents proximity to the network edge and proactively caching popular contents at multiple infrastructures are promising directions for solving the backhaul congestion problem. This paper proposes and evaluates a multi-level cacheenabled network, where cache-hit users can fetch their data from the available cache at either small base-stations, unmanned aerial vehicles, or cache-enabled mobile device-to-device users. Cache-miss users, on the other hand, fetch their data from the central cloud via limited capacity backhaul links. This paper considers the problem of maximizing the network weighted-sum rate by jointly determining the users’ mode of operation and their transmit powers, subject to backhaul capacity and transmit power constraints. After showing how the association problem can be formulated as a generalized assignment problem, the paper solves the transmit power problem using an iterative function evaluation apprach. The resulting mode-selection and powerallocation (MSPA) iterative algorithm is then tested through numerical simulations, which suggest that, while being easily implementable, the proposed multi-level caching can substantially relieve the backhaul congestion, especially in dense-networks, and at low-backhaul capacity regimes.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/lcomm.2020.2995554DOIArticle
ORCID:
AuthorORCID
Douik, Ahmed0000-0001-7791-9443
Dahrouj, Hayssam0000-0002-0737-6372
Al-Naffouri, Tareq Y.0000-0001-6955-4720
Alouini, Mohamed-Slim0000-0003-4827-1793
Additional Information:© 2020 IEEE. Hayssam Dahrouj would like to thank Effat University in Jeddah, Saudi Arabia, for funding this research reported in this paper through the Research and Consultancy Institute.
Funders:
Funding AgencyGrant Number
Effat UniversityUNSPECIFIED
Research and Consultancy InstituteUNSPECIFIED
Subject Keywords:Cache-enabled networks, backhaul congestion, multi-level caching, power allocation, mode selection
Record Number:CaltechAUTHORS:20200522-121349589
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200522-121349589
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:103416
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:22 May 2020 20:49
Last Modified:22 May 2020 20:49

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