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: "capacity limits of cognitive radio with distributed and dynamic spectral activity"
  Abstract: We investigate the capacity of opportunistic communication in the presence of dynamic and distributed spectral activity, i.e. when the time varying spectral holes sensed by the cognitive transmitter are correlated but not identical to those sensed by the cognitive receiver. Using the information theoretic framework of communication with causal and non-causal side information at the transmitter and/or the receiver, we obtain analytical capacity expressions and the corresponding numerical results. We find that cognitive radio communication is robust to dynamic spectral environments even when the communication occurs in bursts of only 3-5 symbols. The value of handshake overhead is investigated for both lightly loaded and heavily loaded systems. We find that the capacity benefits of overhead information flow from the transmitter to the receiver is negligible while feedback information overhead in the opposite direction significantly improves capacity.

Connected through hyperedge HE-1 (induced by source paper "mcleish distribution performance of digital communications over additive white mcleish noise awmn channels"):
  with members:
    - "performance analysis of swipt relaying systems in the presence of impulsive noise"
    - "wireless powered communication opportunities and challenges"
    - "simultaneous wireless information and power transfer in modern communication systems"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "a novel unified expression for the capacity and bit error probability of wireless communication systems over generalized fading channels"

Connected through hyperedge HE-2 (induced by source paper "an efficient precoder design for multiuser mimo cognitive radio networks with interference constraints"):
  with members:
    - "collaborative relay beamforming for secrecy"
    - "beamforming and rate allocation in miso cognitive radio networks"
    - "cooperative multi cell block diagonalization with per base station power constraints"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "on peak versus average interference power constraints for protecting primary users in cognitive radio networks"
    - "weighted sum rate optimization for cognitive radio mimo broadcast channels"

Connected through hyperedge HE-3 (induced by source paper "accessible capacity of secondary users"):
  with members:
    - "upper bounds on the capacities of noncontrollable finite state channels with without feedback"
    - "inner and outer bounds for the gaussian cognitive interference channel and new capacity results"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "gaussian interference channel capacity to within one bit"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-4 (induced by source paper "primary traffic characterization and secondary transmissions"):
  with members:
    - "design and characterization of a full duplex multiantenna system for wifi networks"
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"
    - "cognitive medium access exploration exploitation and competition"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-5 (induced by source paper "shannon meets nyquist capacity of sampled gaussian channels"):
  with members:
    - "multichannel sampling of pulse streams at the rate of innovation"
    - "noncoherent capacity of underspread fading channels"
    - "from theory to practice sub nyquist sampling of sparse wideband analog signals"
    - "increased capacity per unit cost by oversampling"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-6 (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"
    - "channel capacity limits of cognitive radio in asymmetric fading environments"

Connected through hyperedge HE-7 (induced by source paper "a unified framework for the ergodic capacity of spectrum sharing cognitive radio systems"):
  with members:
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-8 (induced by source paper "on the capacity region of cognitive multiple access over white space channels"):
  with members:
    - "cognitive networks achieve throughput scaling of a homogeneous network"
    - "cognitive radio an information theoretic perspective"
    - "duality between channel capacity and rate distortion with two sided state information"

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)