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: "min flow rate maximization for software defined radio access networks"
  Abstract: We consider a heterogeneous network (HetNet) of base stations (BSs) connected via a backhaul network of routers and wired/wireless links with limited capacity. The optimal provision of such networks requires proper resource allocation across the radio access links in conjunction with appropriate traffic engineering within the backhaul network. In this paper we propose an efficient algorithm for joint resource allocation across the wireless links and the flow control within the backhaul network. The proposed algorithm, which maximizes the minimum rate among all the users and/or flows, is based on a decomposition approach that leverages both the Alternating Direction Method of Multipliers (ADMM) and the weighted-MMSE (WMMSE) algorithm. We show that this algorithm is easily parallelizable and converges globally to a stationary solution of the joint optimization problem. The proposed algorithm can also be extended to deal with per-flow quality of service constraint, or to networks with multi-antenna nodes.

Connected through hyperedge HE-1 (induced by source paper "cross layer design for downlink multihop cloud radio access networks with network coding"):
  with members:
    - "energy efficiency of downlink transmission strategies for cloud radio access networks"
    - "cloud radio access network virtualizing wireless access for dense heterogeneous systems"
    - "sparse beamforming and user centric clustering for downlink cloud radio access network"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "multihop backhaul compression for the uplink of cloud radio access networks"
    - "optimized data sharing in multicell mimo with finite backhaul capacity"

Connected through hyperedge HE-2 (induced by source paper "wireless communications in the era of big data"):
  with members:
    - "mobile crowd sensing and computing when participatory sensing meets participatory social media"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "exploiting opportunistic multiuser detection in decentralized multiuser mimo systems"

Connected through hyperedge HE-3 (induced by source paper "joint downlink base station association and power control for max min fairness computation and complexity"):
  with members:
    - "user association for load balancing in heterogeneous cellular networks"

Connected through hyperedge HE-4 (induced by source paper "what will 5g be"):
  with members:
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "massive mimo multicasting in noncooperative cellular networks"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "energy efficient scheduling and power allocation in downlink ofdma networks with base station coordination"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "bargaining based mobile data offloading"

Connected through hyperedge HE-5 (induced by source paper "sparse beamforming and user centric clustering for downlink cloud radio access network"):
  with members:
    - "downlink and uplink energy minimization through user association and beamforming in cloud ran"
    - "backhaul limited asymmetric cooperation for mimo cellular networks via semidefinite relaxation"
    - "group sparse beamforming for green cloud ran"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "performance limits of a cloud radio"
    - "energy efficient resource allocation in ofdma systems with hybrid energy harvesting base station"
    - "linear precoding and equalization for network mimo with partial cooperation"
    - "network mimo with linear zero forcing beamforming large system analysis impact of channel estimation and reduced complexity scheduling"

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)