Software-Defined Handover Decision Engine for Heterogeneous Cloud Radio Access Networks
Computer Communications, 2018Abstract The current telecommunication infrastructure is reaching its limits, no longer able to cope with the ever-growing number of connected devices and data traffic summed to the future QoS demand of 5G. To overcome such limitations, the Heterogeneous Cloud Radio Access Network (H-CRAN) has been considered as a promising architecture that includes
Cristiano Both +2 more
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Joint Power Allocation and Beamforming in Heterogeneous Cloud Radio Access Networks
2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), 2019In this paper, resource allocation for heterogeneous cloud radio access network (HC-RAN) network is investigated. By maximizing the sum rate of all the users in HC-RAN under the power constraints of macro base station (MBS) and remote radio heads (RRHs), the MBS beamforming vectors and RRHs transmit power are jointly optimized.
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Joint Resource Allocation and User Association for Heterogeneous Cloud Radio Access Networks
2016 28th International Teletraffic Congress (ITC 28), 2016Cloud radio access networks (C-RANs) have been regarded as a promising architecture for energy-efficient fifth generation systems. In this paper, a new joint remote radio head (RRH) activation, user-RRH pairing and resource allocation strategy is proposed for heterogeneous C-RANs (H-CRANs).
Ying Loong Lee +3 more
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Hybrid precoding for heterogeneous cloud radio access network based on nested array
Ad Hoc Networks, 2017Future wireless system meets the requirements of high network capacity but is suffering from the problems of high interference and resource shortage. In this paper, we develop a hybrid precoding solution by applying the heterogeneous cloud radio access network (H-CRAN) with remote radio heads (RRHs) equipped with nested arrays for a better system ...
Na Chen 0004, Songlin Sun
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Enhancing performance of heterogeneous cloud radio access networks with efficient user association
2017 IEEE International Conference on Communications (ICC), 2017Heterogeneous cloud radio access network (H-CRAN) is proposed as a cost-effective paradigm to meet the ever-increasing mobile data traffic demand, where the key idea is applying cloud computing technologies in a heterogeneous network (HetNet) to improve both spectral and energy efficiencies of the cellular system.
Shaowei Wang 0001, Yang Sun
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Dynamic resource optimization with congestion control in heterogeneous cloud radio access networks
2014 IEEE Globecom Workshops (GC Wkshps), 2014The heterogeneous cloud radio access networks (H-CRANs) are presented in this paper as a promising new paradigm for future heterogeneous converged networks. To maintain low traffic queue congestion and make the sum utility of average throughput arbitrarily close to the optimum, the dynamic optimization problem of traffic admission control ...
Jian Li 0025 +3 more
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Resource Allocation in Heterogeneous Cloud Radio Access Networks: A Workload Balancing Perspective
2015 IEEE Global Communications Conference (GLOBECOM), 2014Heterogeneous cloud radio access networks (H-CRANs) have been proposed as a promising architecture for providing high energy efficiency, high spectral efficiency and high data rate at low cost. In this paper, we develop a novel resource allocation scheme among macro base stations (BSs) and remote radio heads (RRHs) for the H-CRANs.
Chen Ran, Shaowei Wang 0001
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A framework for energy efficient control in heterogeneous cloud radio access networks
2016 IEEE/CIC International Conference on Communications in China (ICCC Workshops), 2016The exponential growth in the mobile data traffic promotes the evolution of the infrastructure, while takes grate challenges for designing 5G network, such as significant amount of energy consumption and expenses, huge complexity on operation and lack of flexibility on management. Software defined network (SDN) and cloud computing are the two promising
Yuan Zhang, Ying Wang
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Clustering Algorithm Based on Many-to-Many Matching in Heterogeneous Cloud Radio Access Network
, 2022 Siquan Xie, Hongxian Tian
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Optimizing resources allocation in a heterogeneous cloud radio access network using machine learning
, 2022 Mahdi Shirmohamadi +2 more
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