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: "collaborative beamforming for distributed wireless ad hoc sensor networks"
  Abstract: The performance of collaborative beamforming is analyzed using the theory of random arrays. The statistical average and distribution of the beampattern of randomly generated phased arrays is derived in the framework of wireless ad hoc sensor networks. Each sensor node is assumed to have a single isotropic antenna and nodes in the cluster collaboratively transmit the signal such that the signal in the target direction is coherently added in the far-field region. It is shown that with N sensor nodes uniformly distributed over a disk, the directivity can approach N, provided that the nodes are located sparsely enough. The distribution of the maximum sidelobe peak is also studied. With the application to ad hoc networks in mind, two scenarios (closed-loop and open-loop) are considered. Associated with these scenarios, the effects of phase jitter and location estimation errors on the average beampattern are also analyzed.

Connected through hyperedge HE-1 (induced by source paper "coherent communications in self organizing networks with distributed beamforming"):
  with members:
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "sparse beamforming and user centric clustering for downlink cloud radio access network"
    - "distributed stochastic power control in ad hoc networks a nonconvex optimization case"
    - "distributed transmit beamforming using feedback control"

Connected through hyperedge HE-2 (induced by source paper "some aspects of physical prototyping in pervasive computing"):
  with members:
    - "investigation of indoor localization with ambient fm radio stations"
    - "novelty and collective attention"
    - "distributed transmit beamforming using feedback control"

Connected through hyperedge HE-3 (induced by source paper "direct localization for massive mimo"):
  with members:
    - "fingerprinting based positioning in distributed massive mimo systems"
    - "an esprit based approach for 2 d localization of incoherently distributed sources in massive mimo systems"
    - "massive mimo for next generation wireless systems"
    - "emerging technologies and research challenges for 5g wireless networks"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "towards a mathematical theory of super resolution"

Connected through hyperedge HE-4 (induced by source paper "bit error rate analysis of cooperative beamforming for transmitting individual data streams"):
  with members:
    - "cooperative beamforming for wireless ad hoc networks"

Connected through hyperedge HE-5 (induced by source paper "cooperative cognitive relaying under primary and secondary quality of service satisfaction"):
  with members:
    - "beamforming and rate allocation in miso cognitive radio networks"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "cognitive beamforming made practical effective interference channel and learning throughput tradeoff"

Connected through hyperedge HE-6 (induced by source paper "simple semi distributed lifetime maximizing strategy via power allocation in collaborative beamforming for wireless sensor networks"):
  with members:
    - "sidelobe control in collaborative beamforming via node selection"
    - "gossip algorithms for distributed signal processing"

Connected through hyperedge HE-7 (induced by source paper "large scale fading behavior for a cellular network with uniform spatial distribution"):
  with members:
    - "simple subroutine for inhomogeneous deployment"
    - "distance distributions in regular polygons"
    - "closed form path loss predictor for gaussianly distributed nodes"
    - "revisiting circular based random node simulation"
    - "an exact path loss density model for mobiles in a cellular system"
    - "cellular based statistical model for mobile dispersion"
    - "distance distributions in finite uniformly random networks theory and applications"

Connected through hyperedge HE-8 (induced by source paper "simple and generic simulator algorithm for inhomogeneous random spatial deployment"):
  with members:
    - "closed form path loss predictor for gaussianly distributed nodes"

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)