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: "unified capacity limit of non coherent wideband fading channels"
  Abstract: In non-coherent wideband fading channels, where energy rather than spectrum is the limiting resource, peaky and non-peaky signaling schemes have long been considered species apart, as the first approaches asymptotically the capacity of a wideband AWGN channel with the same average SNR, whereas the second reaches a peak rate at some finite  critical bandwidth  and then falls to zero as bandwidth grows to infinity. In this paper, it is shown that this distinction is in fact an artifact of the limited attention paid in the past to the product between the bandwidth and the fraction of time it is in use. This fundamental quantity, called  bandwidth occupancy , measures average bandwidth usage over time. For all signaling schemes with the same bandwidth occupancy, achievable rates approach to the wideband AWGN capacity within the same gap as the bandwidth occupancy approaches its critical value, and decrease to zero as the occupancy goes to infinity. This unified analysis produces quantitative closed-form expressions for the ideal bandwidth occupancy, recovers the existing capacity results for (non-) peaky signaling schemes, and unveils a tradeoff between the accuracy of approximating capacity with a generalized Taylor polynomial and the accuracy with which the optimal bandwidth occupancy can be bounded.

Connected through hyperedge HE-1 (induced by source paper "capacity scaling in a non coherent wideband massive simo block fading channel"):
  with members:
    - "massive mimo has unlimited capacity"
    - "how much spectrum is too much in millimeter wave wireless access"
    - "massive mimo ten myths and one critical question"
    - "energy based modulation for noncoherent massive simo systems"
    - "massive mimo for maximal spectral efficiency how many users and pilots should be allocated"
    - "low snr capacity of noncoherent fading channels"
    - "capacity of sparse multipath channels in the ultra wideband regime"

Connected through hyperedge HE-2 (induced by source paper "capacity scaling of cellular networks impact of bandwidth infrastructure density and number of antennas"):
  with members:
    - "understanding noise and interference regimes in 5g millimeter wave cellular networks"
    - "spectrum sharing for device to device communication in cellular networks"
    - "demystifying the scaling laws of dense wireless networks no linear scaling in practice"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"
    - "massive mimo for next generation wireless systems"
    - "improving third party relaying for lte a a realistic simulation approach"
    - "scaling laws for infrastructure single and multihop wireless networks in wideband regimes"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-3 (induced by source paper "how much spectrum is too much in millimeter wave wireless access"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "gbps user rates using mmwave relayed backhaul with high gain antennas"
    - "millimeter wave channel modeling and cellular capacity evaluation"
    - "noncoherent capacity of underspread fading channels"

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)