human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "resource allocation optimization for delay sensitive traffic in fronthaul constrained cloud radio access networks"
  Abstract: The cloud radio access network (C-RAN) provides high spectral and energy efficiency performances, low expenditures and intelligent centralized system structures to operators, which has attracted intense interests in both academia and industry. In this paper, a hybrid coordinated multi-point transmission (H-CoMP) scheme is designed for the downlink transmission in C-RANs, which fulfills the flexible tradeoff between cooperation gain and fronthaul consumption. The queue-aware power and rate allocation with constraints of average fronthaul consumption for the delay-sensitive traffic are formulated as an infinite horizon constrained partially observed Markov decision process (POMDP), which takes both the urgent queue state information (QSI) and the imperfect channel state information at transmitters (CSIT) into account. To deal with the curse of dimensionality involved with the equivalent Bellman equation, the linear approximation of post-decision value functions is utilized. A stochastic gradient algorithm is presented to allocate the queue-aware power and transmission rate with H-CoMP, which is robust against unpredicted traffic arrivals and uncertainties caused by the imperfect CSIT. Furthermore, to substantially reduce the computing complexity, an online learning algorithm is proposed to estimate the per-queue post-decision value functions and update the Lagrange multipliers. The simulation results demonstrate performance gains of the proposed stochastic gradient algorithms, and confirm the asymptotical convergence of the proposed online learning algorithm.

Connected through hyperedge HE-1 (induced by source paper "queue aware joint dynamic interference coordination and heterogeneous qos provisioning in ofdma networks"):
  with members:
    - "throughput optimization in multichannel cognitive radios with hard deadline constraints"
    - "utility optimal dynamic rate allocation under average end to end delay requirements"
    - "decentralized throughput maximizing policies for deadline constrained wireless networks"
    - "partially distributed resource allocation in small cell networks"
    - "distributed interference management policies for heterogeneous small cell networks"

Connected through hyperedge HE-2 (induced by source paper "recent advances in cloud radio access networks system architectures key techniques and open issues"):
  with members:
    - "fronthaul compression and precoding design for c rans over ergodic fading channels"
    - "optimal fronthaul quantization for cloud radio positioning"
    - "inter tier interference suppression in heterogeneous cloud radio access networks"
    - "contract based interference coordination in heterogeneous cloud radio access networks"
    - "are heterogeneous cloud based radio access networks cost effective"
    - "energy efficient resource assignment and power allocation in heterogeneous cloud radio access networks"
    - "cooperative interference mitigation and handover management for heterogeneous cloud small cell networks"
    - "fronthaul constrained cloud radio access networks insights and challenges"

Connected through hyperedge HE-3 (induced by source paper "software defined optical networks sdons a comprehensive survey"):
  with members:
    - "survey on network virtualization hypervisors for software defined networking"
    - "network function virtualization state of the art and research challenges"
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "system architecture and key technologies for 5g heterogeneous cloud radio access networks"
    - "renewable energy aware inter datacenter virtual machine migration over elastic optical networks"
    - "software defined and virtualized future mobile and wireless networks a survey"
    - "wireless sensor network virtualization early architecture and research perspectives"
    - "software defined networking a comprehensive survey"

Connected through hyperedge HE-4 (induced by source paper "energy efficient joint congestion control and resource optimization in heterogeneous cloud radio access networks"):
  with members:
    - "energy efficient resource allocation optimization for multimedia heterogeneous cloud radio access networks"
    - "queue aware energy efficient joint remote radio head activation and beamforming in cloud radio access networks"
    - "inter tier interference suppression in heterogeneous cloud radio access networks"
    - "contract based interference coordination in heterogeneous cloud radio access networks"
    - "energy efficient resource assignment and power allocation in heterogeneous cloud radio access networks"
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "system architecture and key technologies for 5g heterogeneous cloud radio access networks"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"

Connected through hyperedge HE-5 (induced by source paper "fog computing based radio access networks issues and challenges"):
  with members:
    - "cluster content caching an energy efficient approach to improve quality of service in cloud radio access networks"
    - "energy efficient resource assignment and power allocation in heterogeneous cloud radio access networks"
    - "system architecture and key technologies for 5g heterogeneous cloud radio access networks"
    - "nfv state of the art challenges and implementation in next generation mobile networks vepc"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"

Connected through hyperedge HE-6 (induced by source paper "cloud radio access network virtualizing wireless access for dense heterogeneous systems"):
  with members:
    - "fronthaul compression and precoding design for c rans over ergodic fading channels"
    - "contract based interference coordination in heterogeneous cloud radio access networks"
    - "on the effect of fronthaul latency on arq in c ran systems"
    - "uplink harq for distributed and cloud ran via separation of control and data planes"
    - "joint power and antenna selection optimization in large cloud radio access networks"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "parallel and distributed methods for nonconvex optimization part i theory"
    - "backhaul limited asymmetric cooperation for mimo cellular networks via semidefinite relaxation"

Connected through hyperedge HE-7 (induced by source paper "system architecture and key technologies for 5g heterogeneous cloud radio access networks"):
  with members:
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"
    - "massive mimo for next generation wireless systems"
    - "what will 5g be"
    - "ergodic capacity analysis of remote radio head associations in cloud radio access networks"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "uplink multicell processing with limited backhaul via per base station successive interference cancellation"

Connected through hyperedge HE-8 (induced by source paper "fronthaul constrained cloud radio access networks insights and challenges"):
  with members:
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"
    - "group sparse beamforming for green cloud ran"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "robust and efficient distributed compression for cloud radio access networks"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.IT(Information Theory)