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: "channel capacity limits of cognitive radio in asymmetric fading environments"
  Abstract: Cognitive radio technology is an innovative radio design concept which aims to increase spectrum utilization by exploiting unused spectrum in dynamically changing environments. By extending previous results, we investigate the capacity gains achievable with this dynamic spectrum approach in asymmetric fading channels. More specifically, we allow the secondary-to- primary and secondary-to-secondary user channels to undergo Rayleigh or Rician fading, with arbitrary link power. In order to compute the capacity, we derive the distributions of ratios of Rayleigh and Rician variables. Compared to the symmetric fading scenario, our results indicate several interesting features of the capacity behaviour under both average and peak received power constraints. Finally, the impact of multiple primary users on the capacity under asymmetric fading has also been studied.

Connected through hyperedge HE-1 (induced by source paper "on the performance analysis of underlay cognitive radio systems a deployment perspective"):
  with members:
    - "sensing throughput tradeoff for interweave cognitive radio system a deployment centric viewpoint"
    - "estimation throughput tradeoff for underlay cognitive radio systems"
    - "the effects of limited channel knowledge on cognitive radio system capacity"
    - "a unified framework for the ergodic capacity of spectrum sharing cognitive radio systems"
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"

Connected through hyperedge HE-2 (induced by source paper "performance analysis of mean value based power allocation with primary user interference in spectrum sharing systems"):
  with members:
    - "the effects of limited channel knowledge on cognitive radio system capacity"
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"
    - "on peak versus average interference power constraints for protecting primary users in cognitive radio networks"

Connected through hyperedge HE-3 (induced by source paper "the effects of limited channel knowledge on cognitive radio system capacity"):
  with members:
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"
    - "capacity limits of cognitive radio with distributed and dynamic spectral activity"

Connected through hyperedge HE-4 (induced by source paper "on the statistics of cognitive radio capacity in shadowing and fast fading environments"):
  with members:
    - "interference and deployment issues for cognitive radio systems in shadowing environments"
    - "on the capacity of interference channels with one cooperating transmitter"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-5 (induced by source paper "on the statistics of cognitive radio capacity in shadowing and fast fading environments"):
  with members:
    - "interference and deployment issues for cognitive radio systems in shadowing environments"
    - "on the capacity of interference channels with one cooperating transmitter"
    - "cognitive radio an information theoretic perspective"

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)