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: "large scale mimo versus network mimo for multicell interference mitigation"
  Abstract: This paper compares two important downlink multicell interference mitigation techniques, namely, large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. We consider a cooperative wireless cellular system operating in time-division duplex (TDD) mode, wherein each cooperating cluster includes B base-stations (BSs), each equipped with multiple antennas and scheduling K single-antenna users. In an LS-MIMO system, each BS employs BM antennas not only to serve its scheduled users, but also to null out interference caused to the other users within the cooperating cluster using zero-forcing (ZF) beamforming. In a network MIMO system, each BS is equipped with only M antennas, but interference cancellation is realized by data and channel state information exchange over the backhaul links and joint downlink transmission using ZF beamforming. Both systems are able to completely eliminate intra-cluster interference and to provide the same number of spatial degrees of freedom per user. Assuming the uplink-downlink channel reciprocity provided by TDD, both systems are subject to identical channel acquisition overhead during the uplink pilot transmission stage. Further, the available sum power at each cluster is fixed and assumed to be equally distributed across the downlink beams in both systems. Building upon the channel distribution functions and using tools from stochastic ordering, this paper shows, however, that from a performance point of view, users experience better quality of service, averaged over small-scale fading, under an LS-MIMO system than a network MIMO system. Numerical simulations for a multicell network reveal that this conclusion also holds true with regularized ZF beamforming scheme. Hence, given the likely lower cost of adding excess number of antennas at each BS, LS-MIMO could be the preferred route toward interference mitigation in cellular networks .

Connected through hyperedge HE-1 (induced by source paper "multi cell sparse activity detection for massive random access massive mimo versus cooperative mimo"):
  with members:
    - "sparse activity detection for massive connectivity"
    - "a new scaling law for activity detection in massive mimo systems"
    - "massive connectivity with massive mimo part i device activity detection and channel estimation"
    - "a random access protocol for pilot allocation in crowded massive mimo systems"
    - "user activity detection in massive random access compressed sensing vs coded slotted aloha"
    - "device activity and embedded information bit detection using amp in massive mimo"
    - "random access in c ran for user activity detection with limited capacity fronthaul"
    - "capacity of gaussian many access channels"

Connected through hyperedge HE-2 (induced by source paper "feasibility of serving k secondary users in underlay cognitive radio networks using massive mimo"):
  with members:
    - "downlink transceiver beamforming and admission control for massive mimo cognitive radio networks"

Connected through hyperedge HE-3 (induced by source paper "optimizing the mimo cellular downlink multiplexing diversity or interference nulling"):
  with members:
    - "a stochastic analysis of network mimo systems"
    - "spectral efficiency of dynamic coordinated beamforming a stochastic geometry approach"
    - "user centric intercell interference nulling for downlink small cell networks"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "sparse beamforming and user centric clustering for downlink cloud radio access network"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"
    - "interference coordination random clustering and adaptive limited feedback"
    - "downlink mimo hetnets modeling ordering results and performance analysis"

Connected through hyperedge HE-4 (induced by source paper "comp in the sky uav placement and movement optimization for multi user communications"):
  with members:
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "joint altitude and beamwidth optimization for uav enabled multiuser communications"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "fronthauling for 5g lte u ultra dense cloud small cell networks"
    - "the new frontier in ran heterogeneity multi tier drone cells"

Connected through hyperedge HE-5 (induced by source paper "analysis of massive mimo and base station cooperation in an indoor scenario"):
  with members:
    - "massive mimo ten myths and one critical question"
    - "achieving large multiplexing gain in distributed antenna systems via cooperation with pcell technology"
    - "massive mimo for next generation wireless systems"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

Connected through hyperedge HE-6 (induced by source paper "edge caching in dense heterogeneous cellular networks with massive mimo aided self backhaul"):
  with members:
    - "random caching based cooperative transmission in heterogeneous wireless networks"
    - "how much cache is needed to achieve linear capacity scaling in backhaul limited dense wireless networks"
    - "fog radio access networks mobility management interference mitigation and resource optimization"
    - "a new look at physical layer security caching and wireless energy harvesting for heterogeneous ultra dense networks"
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "cache size allocation in backhaul limited wireless networks"
    - "wireless device to device caching networks basic principles and system performance"
    - "wireless caching technical misconceptions and business barriers"

Connected through hyperedge HE-7 (induced by source paper "non orthogonal multiple access in large scale heterogeneous networks"):
  with members:
    - "massive non orthogonal multiple access for cellular iot potentials and limitations"
    - "modulation and multiple access for 5g networks"
    - "nonorthogonal multiple access in large scale underlay cognitive radio networks"
    - "enhancing the physical layer security of non orthogonal multiple access in large scale networks"
    - "cooperative non orthogonal multiple access with simultaneous wireless information and power transfer"
    - "the application of mimo to non orthogonal multiple access"
    - "user association and interference management in massive mimo hetnets"
    - "fairness for non orthogonal multiple access in 5g systems"

Connected through hyperedge HE-8 (induced by source paper "full duplex cloud radio access network stochastic design and analysis"):
  with members:
    - "self interference in full duplex multi user mimo channels"
    - "cross layer design for downlink multihop cloud radio access networks with network coding"
    - "secrecy and energy efficiency in massive mimo aided heterogeneous c ran a new look at interference"
    - "echo state networks for proactive caching in cloud based radio access networks with mobile users"
    - "on the optimal fronthaul compression and decoding strategies for uplink cloud radio access networks"
    - "a stochastic analysis of network mimo systems"
    - "massive mimo enabled full duplex cellular networks"
    - "full duplex mimo small cell networks with interference cancellation"

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)