About this Research Topic
Such interplay between CRANs strong centralized processing and FRANs distributed intelligence capabilities provides a fertile arena for efficient resource allocation strategies. This is particularly the case since both CRANs and FRANs (albeit at different scales) make optimized resource sharing strategies feasible between the different entities through the cloud, by means of jointly encoding (decoding) the messages using downlink (uplink) coordinated resource allocation techniques (beamforming, scheduling, cache placement, etc.). Recent studies have also suggested that CRANs and FRANs platforms are particularly suitable for the practical implementation of rate-splitting strategies, i.e., by dividing each user message into two parts, a private part decodable at the intended user only, and a common part which can be decoded by another user, for the purpose of reducing large-scale interference.
This special issue is, therefore, devoted to investigating large scale interference management techniques in the context of CRANs and FRANs for B5G systems, through the proper optimization of resource allocation and ratesplitting techniques, both jointly and separately. High quality technical papers submissions reporting on original algorithmic, theoretical, numerical, and experimental results are welcome. Exceptional survey/tutorial-like papers may also be considered. We solicit original submissions in the following areas:
• Resource allocation in CRANs/FRANs (beamforming, power control, base-station association, scheduling, cache placement, etc.)
• Interference analysis, avoidance, and alignment for CRANs/FRANs
• Hybrid RF/Optical backhauling/fronthauling in CRANs/FRANs
• Machine learning and artificial intelligence for cloud efficiency
• Joint operation and optimization of radio-access and backhaul networks for CRANs/FRANs
• Centralized/decentralized computing and processing in CRANs/FRANs
• Flexible assignment of functionalities and entities in CRANs/FRANs
• Analysis and trade-off of delay, throughput, energy-efficiency, QoS, and cost-efficiency in CRANs vs FRANs
• Inter-cloud and intra-cloud interference management in multi-cloud networks
• Cache placement and optimization for cache-enabled CRANs/FRANs
• Rate-splitting and common message decoding for CRANs/FRANs
• Cross-layer optimization and performance analysis of rate-splitting enabled CRANs/FRANs
• CRANs/FRANs interplay with large-intelligent surfaces (LIS), massive MIMO, THz communications, massive IoT, V2X, cellular, UAV and satellite networks
• High-mobility consideration and performance analysis in CRANs/FRANs
Keywords: Cloud-radio access networks (CRANs), Fog-radio access networks (FRANs), Resource allocation, Ratesplitting, Common message decoding
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