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: "optimal traffic aggregation in multi rat heterogeneous wireless networks"
  Abstract: Traffic load balancing and radio resource management is key to harness the dense and increasingly heterogeneous deployment of next generation "$5$G" wireless infrastructure. Strategies for aggregating user traffic from across multiple radio access technologies (RATs) and/or access points (APs) would be crucial in such heterogeneous networks (HetNets), but are not well investigated. In this paper, we develop a low complexity solution for maximizing an $\alpha$-optimal network utility leveraging the multi-link aggregation (simultaneous connectivity to multiple RATs/APs) capability of users in the network. The network utility maximization formulation has maximization of sum rate ($\alpha=0$), maximization of minimum rate ($\alpha \to \infty$), and proportional fair ($\alpha=1$) as its special cases. A closed form is also developed for the special case where a user aggregates traffic from at most two APs/RATs, and hence can be applied to practical scenarios like LTE-WLAN aggregation (LWA) and LTE dual-connectivity solutions. It is shown that the required objective may also be realized through a decentralized implementation requiring a series of message exchanges between the users and network. Using comprehensive system level simulations, it is shown that optimal leveraging of multi-link aggregation leads to substantial throughput gains over single RAT/AP selection techniques.

Connected through hyperedge HE-1 (induced by source paper "optimized interface diversity for ultra reliable low latency communication urllc"):
  with members:
    - "introduction to ultra reliable and low latency communications in 5g"
    - "random access protocols for massive mimo"
    - "latency analysis of systems with multiple interfaces for ultra reliable m2m communication"
    - "5g ultra reliable vehicular communication"
    - "exploiting the power of multiplicity a holistic survey of network layer multipath"
    - "what will 5g be"

Connected through hyperedge HE-2 (induced by source paper "joint millimeter wave and microwave resources allocation in cellular networks with dual mode base stations"):
  with members:
    - "context aware scheduling of joint millimeter wave and microwave resources for dual mode base stations"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"
    - "local multipath model parameters for generating 5g millimeter wave 3gpp like channel impulse response"
    - "context aware small cell networks how social metrics improve wireless resource allocation"
    - "millimeter wave cellular networks a mac layer perspective"
    - "energy efficient 5g outdoor to indoor communication sudas over licensed and unlicensed spectrum"
    - "an mdp model for optimal handover decisions in mmwave cellular networks"
    - "matching theory for priority based cell association in the downlink of wireless small cell 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.NI(Networking and Internet Architecture)