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: "performance evaluation of impulse radio uwb systems with pulse based polarity randomization"
  Abstract: In this paper, the performance of a binary phase shift keyed random time-hopping impulse radio system with pulse-based polarity randomization is analyzed. The effects of interframe interference and multiple-access interference on the performance of a generic Rake receiver are investigated for asynchronous systems in frequency-selective environments. A key step is to model the asynchronous system as a chip-synchronous system with uniformly distributed timing jitter for the transmitted pulses of interfering users. This model allows the analytical technique developed for the synchronous case to be extended to the asynchronous case and allows the derivation of closed-form equations for the bit error probability in various Rake receiver architectures. It is shown that a Gaussian approximation can be used for both multiple-access and interframe interference as long as the number of frames per symbols is large (typically, at least 5), whereas there is no minimum requirement for the number of users for the equations to hold. It is observed that under many circumstances, the chip-synchronous case shows a worse bit error probability performance than the asynchronous case; the amount of the difference depends on the autocorrelation function of the ultra-wideband pulse and the signal-to-interference-plus-noise-ratio of the system. Simulations studies support the approximate analysis.

Connected through hyperedge HE-1 (induced by source paper "real time dispersion code multiple access dcma for high speed wireless communications"):
  with members:
    - "what will 5g be"
    - "five disruptive technology directions for 5g"

Connected through hyperedge HE-2 (induced by source paper "performance of rake receivers in ir uwb networks using energy efficient power control"):
  with members:
    - "energy efficient power control in impulse radio uwb wireless networks"

Connected through hyperedge HE-3 (induced by source paper "iterative turbo multiuser detectors for impulse radio systems"):
  with members:
    - "ultra wideband impulse radio systems with multiple pulse types"

Connected through hyperedge HE-4 (induced by source paper "large system analysis of game theoretic power control in uwb wireless networks with rake receivers"):
  with members:
    - "performance of rake receivers in ir uwb networks using energy efficient power control"
    - "energy efficient power control in impulse radio uwb wireless networks"

Connected through hyperedge HE-5 (induced by source paper "performance comparison of energy efficient power control for cdma and multiuser uwb networks"):
  with members:
    - "performance of rake receivers in ir uwb networks using energy efficient power control"
    - "energy efficient power control in impulse radio uwb wireless networks"

Connected through hyperedge HE-6 (induced by source paper "game theoretic power control in impulse radio uwb wireless networks"):
  with members:
    - "energy efficient power control in impulse radio uwb wireless networks"

Connected through hyperedge HE-7 (induced by source paper "a genetic algorithm based finger selection scheme for uwb mmse rake receivers"):
  with members:
    - "optimal and suboptimal finger selection algorithms for mmse rake receivers in impulse radio ultra wideband 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)