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: "power bandwidth tradeoff in multiuser relay channels with opportunistic scheduling"
  Abstract: The goal of this paper is to understand the key merits of multihop relaying techniques jointly in terms of their energy efficiency and spectral efficiency advantages in the presence of multiuser diversity gains from opportunistic (i.e., channel-aware) scheduling and identify the regimes and conditions in which relay-assisted multiuser communication provides a clear advantage over direct multiuser communication. For this purpose, we use Shannon-theoretic tools to analyze the tradeoff between energy efficiency and spectral efficiency (known as the power-bandwidth tradeoff) over a fading multiuser relay channel with $K$ users in the asymptotic regime of large (but finite) number of users (i.e., dense network). Benefiting from the extreme-value theoretic results of \cite{Oyman_isit07}, we characterize the power-bandwidth tradeoff and the associated energy and spectral efficiency measures of the bandwidth-limited high signal-to-noise ratio (SNR) and power-limited low SNR regimes, and utilize them in investigating the large system behavior of the multiuser relay channel as a function of the number of users and physical channel SNRs. Our analysis results in very accurate closed-form formulas in the large (but finite) $K$ regime that quantify energy and spectral efficiency performance, and provides insights on the impact of multihop relaying and multiuser diversity techniques on the power-bandwidth tradeoff.

Connected through hyperedge HE-1 (induced by source paper "transmit power policy and ergodic multicast rate analysis of cognitive radio networks in generalized fading"):
  with members:
    - "asymptotic performance analysis of generalized user selection for interference limited multiuser secondary networks"
    - "asymptotic maximal order statistic for sir in κ μ shadowed fading"
    - "mimo underlay cognitive radio optimized power allocation effective number of transmit antennas and harvest transmit tradeoff"
    - "error vector magnitude analysis in generalized fading with co channel interference"
    - "outage probability and rate for kappa mu shadowed fading in interference limited scenario"
    - "coverage analysis in downlink poisson cellular network with kappa mu shadowed fading"
    - "relay selection improves the security reliability trade off in cognitive radio systems"
    - "spectrum sharing multi hop cooperative relaying performance analysis using extreme value theory"

Connected through hyperedge HE-2 (induced by source paper "asymptotic maximal order statistic for sir in κ μ shadowed fading"):
  with members:
    - "error vector magnitude analysis in generalized fading with co channel interference"
    - "outage probability and rate for kappa mu shadowed fading in interference limited scenario"
    - "coverage analysis in downlink poisson cellular network with kappa mu shadowed fading"
    - "massive mimo ten myths and one critical question"
    - "uplink achievable rate for massive mimo systems with low resolution adc"
    - "massive mimo performance evaluation based on measured propagation data"
    - "massive mimo for next generation wireless systems"
    - "on the sum of correlated squared kappa mu shadowed random variables and its application to performance analysis of mrc"

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)