TY - JOUR
T1 - Cooperative Radio Resource Management in Heterogeneous Cloud Radio Access Networks
AU - Gerasimenko, M.
AU - Moltchanov, D.
AU - Florea, R.
AU - Andreev, S.
AU - Koucheryavy, Y.
AU - Himayat, N.
AU - Yeh, Shu-Ping
AU - Talwar, S.
PY - 2015
Y1 - 2015
N2 - Responding to the unprecedented challenges imposed by the 5G communications ecosystem, emerging heterogeneous network architectures allow for improved integration between multiple radio access technologies. When combined with advanced cloud infrastructures, they bring to life a novel paradigm of heterogeneous cloud radio access network (H-CRAN). The novel H-CRAN architecture opens door to improved network-wide management, including coordinated cross-cell radio resource allocation. In this paper, emphasizing the lack of theoretical performance analysis, we specifically address the problem of cooperative radio resource management in H-CRAN by providing a comprehensive mathematical methodology for its real-time performance optimization. Our approach enables flexible balance between throughput and fairness metrics, as may be desired by the network operator, and demonstrates attractive benefits when compared against the state-of-the-art multiradio resource allocation strategies. The resulting algorithms are suitable for efficient online implementation, which principal feasibility is confirmed by our proof-of-concept prototype.
AB - Responding to the unprecedented challenges imposed by the 5G communications ecosystem, emerging heterogeneous network architectures allow for improved integration between multiple radio access technologies. When combined with advanced cloud infrastructures, they bring to life a novel paradigm of heterogeneous cloud radio access network (H-CRAN). The novel H-CRAN architecture opens door to improved network-wide management, including coordinated cross-cell radio resource allocation. In this paper, emphasizing the lack of theoretical performance analysis, we specifically address the problem of cooperative radio resource management in H-CRAN by providing a comprehensive mathematical methodology for its real-time performance optimization. Our approach enables flexible balance between throughput and fairness metrics, as may be desired by the network operator, and demonstrates attractive benefits when compared against the state-of-the-art multiradio resource allocation strategies. The resulting algorithms are suitable for efficient online implementation, which principal feasibility is confirmed by our proof-of-concept prototype.
KW - 5G mobile communication
KW - cloud computing
KW - cooperative communication
KW - optimisation
KW - radio access networks
KW - resource allocation
KW - telecommunication network management
KW - 5G communications ecosystem
KW - H-CRAN
KW - advanced cloud infrastructures
KW - cooperative radio resource management
KW - coordinated cross-cell radio resource allocation
KW - heterogeneous cloud radio access network
KW - heterogeneous network architectures
KW - multiple radio access technologies
KW - network-wide management
KW - real-time performance optimization
KW - Cloud computing
KW - Heterogeneous networks
KW - Mathematical model
KW - Prototypes
KW - Radio access networks
KW - Radio commuincation
KW - Resource management
KW - Heterogeneous network
KW - cloud infrastructure
KW - mathematical methodology
KW - prototyping
U2 - 10.1109/ACCESS.2015.2422266
DO - 10.1109/ACCESS.2015.2422266
M3 - Article
SN - 2169-3536
VL - 3
SP - 397
EP - 406
JO - IEEE Access
JF - IEEE Access
ER -