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: "cellular systems with many antennas large system analysis under pilot contamination"
  Abstract: Base stations with a large number of transmit antennas have the potential to serve a large number of users simultaneously at higher rates. They also promise a lower power consumption due to coherent combining at the receiver. However, the receiver processing in the uplink relies on the channel estimates which are known to suffer from pilot interference. In this work, we perform an uplink large system analysis of multi-cell multi-antenna system when the receiver employs a matched filtering with a pilot contaminated estimate. We find the asymptotic Signal to Interference plus Noise Ratio (SINR) as the number of antennas and number of users per base station grow large while maintaining a fixed ratio. To do this, we make use of the similarity of the uplink received signal in a multi-antenna system to the representation of the received signal in CDMA systems. The asymptotic SINR expression explicitly captures the effect of pilot contamination and that of interference averaging. This also explains the SINR performance of receiver processing schemes at different regimes such as instances when the number of antennas are comparable to number of users as well as when antennas exceed greatly the number of users. Finally, we also propose that the adaptive MMSE symbol detection scheme, which does not require the explicit channel knowledge, can be employed for cellular systems with large number of antennas.

Connected through hyperedge HE-1 (induced by source paper "spatial dct based channel estimation in multi antenna multi cell interference channels"):
  with members:
    - "joint channel estimation and pilot allocation in underlay cognitive miso networks"
    - "training sequence design for mimo channels an application oriented approach"
    - "receive combining vs multi stream multiplexing in downlink systems with multi antenna users"
    - "a coordinated approach to channel estimation in large scale multiple antenna systems"
    - "adaptive spatial intercell interference cancellation in multicell wireless networks"
    - "pilot contamination and precoding in multi cell tdd systems"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-2 (induced by source paper "group blind detection with very large antenna arrays in the presence of pilot contamination"):
  with members:
    - "what will 5g be"
    - "blind pilot decontamination"
    - "five disruptive technology directions for 5g"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "pilot contamination and precoding in multi cell tdd systems"

Connected through hyperedge HE-3 (induced by source paper "uplink performance of large optimum combining antenna arrays in power controlled cellular networks"):
  with members:
    - "massive mimo for next generation wireless systems"
    - "asymptotic spectral efficiency of the uplink in spatially distributed wireless networks with multi antenna base stations"
    - "asymptotic data rates of receive diversity systems with mmse estimation and spatially correlated interferers"
    - "uplink performance of large optimum combining antenna arrays in poisson cell networks"
    - "analytical modeling of uplink cellular networks"

Connected through hyperedge HE-4 (induced by source paper "joint channel estimation and pilot allocation in underlay cognitive miso networks"):
  with members:
    - "spatial dct based channel estimation in multi antenna multi cell interference channels"
    - "a coordinated approach to channel estimation in large scale multiple antenna systems"
    - "pilot contamination and precoding in multi cell tdd systems"

Connected through hyperedge HE-5 (induced by source paper "uplink linear receivers for multi cell multiuser mimo with pilot contamination large system analysis"):
  with members:
    - "blind pilot decontamination"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "on capacity of large scale mimo multiple access channels with distributed sets of correlated antennas"
    - "large system analysis of joint channel and data estimation for mimo ds cdma systems"
    - "achieving massive mimo spectral efficiency with a not so large number of antennas"
    - "energy and spectral efficiency of very large multiuser mimo systems"
    - "pilot contamination and precoding in multi cell tdd systems"

Connected through hyperedge HE-6 (induced by source paper "blind pilot decontamination"):
  with members:
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "a coordinated approach to channel estimation in large scale multiple antenna systems"
    - "pilot contamination and precoding in multi cell tdd systems"

Connected through hyperedge HE-7 (induced by source paper "uplink performance of large optimum combining antenna arrays in poisson cell networks"):
  with members:
    - "massive mimo for next generation wireless systems"
    - "asymptotic spectral efficiency of the uplink in spatially distributed wireless networks with multi antenna base stations"
    - "asymptotic data rates of receive diversity systems with mmse estimation and spatially correlated interferers"
    - "high sir transmission capacity of wireless networks with general fading and node distribution"
    - "a tractable approach to coverage and rate in cellular networks"
    - "outage probability of general ad hoc networks in the high reliability regime"
    - "pilot contamination and precoding in multi cell tdd systems"

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)