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 resource allocation in multicast device to device communications underlaying lte networks"
  Abstract: In this paper, we present a framework for resource allocations for multicast device-to-device (D2D) communications underlaying the uplink of a Long-Term Evolution (LTE) network. The objective is to maximize the sum throughput of active cellular users (CUs) and feasible D2D multicast groups in a cell, while meeting a certain signal-to-interference-plus-noise ratio (SINR) constraint for both the CUs and the D2D groups. We formulate the general problem of power and channel allocation as a mixed integer nonlinear programming (MINLP) problem, where one D2D group can reuse the channels of multiple CUs and where the channel of each CU can be reused by multiple D2D groups. Distinct from existing approaches in the literature, our formulation and solution methods provide an effective and flexible means to utilize radio resources in cellular networks and share them with multicast groups without causing harmful interference to each other. The MINLP problem is transformed so that it can be solved optimally by a variant of the generalized Bender decomposition method with provable convergence. A greedy algorithm and a low-complexity heuristic solution are then devised. The performance of all schemes is evaluated through extensive simulations. Numerical results demonstrate that the proposed greedy algorithm can achieve close-to-optimal performance and that the heuristic algorithm provides good performance, even though it is inferior than that of the greedy, with much lower complexity.

Connected through hyperedge HE-1 (induced by source paper "energy efficient power and channel allocation in underlay device to multi device communications"):
  with members:
    - "system level modeling and optimization of the energy efficiency in cellular networks a stochastic geometry framework"
    - "radio resource allocation for device to device underlay communication using hypergraph theory"
    - "a tractable framework for the analysis of dense heterogeneous cellular networks"
    - "energy efficient power control a look at 5g wireless technologies"
    - "gaussian approximation for the downlink interference in heterogeneous cellular networks"
    - "device to device millimeter wave communications interference coverage rate and finite topologies"
    - "modeling and performance analysis of clustered device to device networks"
    - "an analytical framework for device to device communication in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "d2d multicast in underlay cellular networks with exclusion zones"):
  with members:
    - "a stochastic geometric analysis of device to device communications operating over generalized fading channels"
    - "poisson hole process theory and applications to wireless networks"
    - "modeling cellular networks with full duplex d2d communication a stochastic geometry approach"
    - "an analytical framework for device to device communication in cellular networks"
    - "operational region of d2d communications for enhancing cellular network performance"
    - "device to device communication underlaying a finite cellular network region"
    - "spectrum sharing for device to device communication in cellular networks"
    - "what will 5g be"

Connected through hyperedge HE-3 (induced by source paper "multiple d2d multicasts in underlay cellular networks"):
  with members:
    - "d2d multicast in underlay cellular networks with exclusion zones"
    - "resource allocation under channel uncertainties for relay aided device to device communication underlaying lte a cellular networks"
    - "modeling analysis and optimization of multicast device to device transmissions"
    - "efficiency resource allocation for device to device underlay communication systems a reverse iterative combinatorial auction based approach"

Connected through hyperedge HE-4 (induced by source paper "sector based radio resource allocation sbrra algorithm for better quality of service and experience in device to device d2d communication"):
  with members:
    - "limited feedback scheme for device to device communications in 5g cellular networks with reliability and cellular secrecy outage constraints"
    - "device to device communication in cellular networks"
    - "hybrid centralized distributed resource allocation for device to device communication underlaying cellular networks"
    - "a survey of energy efficient techniques for 5g networks and challenges ahead"
    - "what will 5g be"
    - "five disruptive technology directions for 5g"

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)