dc.contributor.author Ahmad, Alaa Alameer dc.contributor.author Reifert, Robert-Jeron dc.contributor.author Dahrouj, Hayssam dc.contributor.author Chaaban, Anas dc.contributor.author Sezgin, Aydin dc.contributor.author Al-Naffouri, Tareq Y. dc.contributor.author Alouini, Mohamed-Slim dc.date.accessioned 2021-04-14T06:09:53Z dc.date.available 2021-04-14T06:09:53Z dc.date.issued 2021-04-08 dc.identifier.uri http://hdl.handle.net/10754/668731 dc.description.abstract In the scope of beyond fifth generation (B5G) networks and the massive increase of data-hungry systems, the need of extending conventional single-cloud radio access networks (C-RAN) arises. A compound of several clouds, jointly managing inter-cloud and intra-cloud interference, constitutes a practical solution to cope with requirements of B5G networks. This paper considers a multi-cloud radio access network model (MC-RAN) where each cloud is connected to a distinct set of base stations (BSs) via limited capacity fronthaul links. The BSs are equipped with local cache storage and base-band processing capabilities, as a means to alleviate the fronthaul congestion problem. The paper then investigates the problem of jointly assigning users to clouds and determining their beamforming vectors so as to maximize the network-wide energy efficiency (EE) subject to fronthaul capacity, and transmit power constraints. This paper solves such a mixed discrete-continuous, non-convex optimization problem using fractional programming (FP) and successive inner-convex approximation (SICA) techniques to deal with the non-convexity of the continuous part of the problem, and $l_0$-norm approximation to account for the binary association part. A highlight of the proposed algorithm is its capability of being implemented in a distributed fashion across the network multiple clouds through a reasonable amount of information exchange. The numerical simulations illustrate the pronounced role the proposed algorithm plays in alleviating the interference of large-scale MC-RANs, especially in dense networks. dc.publisher arXiv dc.relation.url https://arxiv.org/pdf/2104.03664.pdf dc.rights Archived with thanks to arXiv dc.title Distributed Resource Management in Downlink Cache-enabled Multi-cloud Radio Access Networks dc.type Preprint dc.contributor.department Communication Theory Lab dc.contributor.department Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division dc.contributor.department Electrical Engineering Program dc.eprint.version Pre-print dc.contributor.institution Digital Communication Systems, Ruhr-Universitat Bochum, Bochum, Germany. dc.contributor.institution School of Engineering, The University of British Columbia, Kelowna, Canada. dc.identifier.arxivid 2104.03664 kaust.person Dahrouj, Hayssam kaust.person Al-Naffouri, Tareq Y. kaust.person Alouini, Mohamed-Slim refterms.dateFOA 2021-04-14T06:10:52Z
﻿

### Files in this item

Name:
Preprintfile1.pdf
Size:
618.6Kb
Format:
PDF
Description:
Pre-print