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 of multi antenna mmse receivers in non homogenous poisson networks"
  Abstract: A technique to compute the Cumulative Distribution Function (CDF) of the Signal-to-Interference-plus-Noise-Ratio (SINR) for a wireless link with a multi-antenna, Linear, Minimum-Mean-Square-Error (MMSE) receiver in the presence of interferers distributed according to a non-homogenous Poisson point process on the plane, and independent Rayleigh fading between antennas is presented. This technique is used to compute the CDF of the SINR for several different models of intensity functions, in particular, power-law intensity functions, circular-symmetric Gaussian intensity functions and intensity functions described by a polynomial in a bounded domain. Additionally it is shown that if the number of receiver antennas is scaled linearly with the intensity function, the SINR converges in probability to a limit determined by the “shape” of the underlying intensity function. This work generalizes known results for homogenous Poisson networks to non-homogenous Poisson networks.

Connected through hyperedge HE-1 (induced by source paper "performance of multiantenna linear mmse receivers in doubly stochastic networks"):
  with members:
    - "interference and throughput in aloha based ad hoc networks with isotropic node distribution"
    - "high sir transmission capacity of wireless networks with general fading and node distribution"
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "open loop spatial multiplexing and diversity communications in ad hoc networks"
    - "on the spectral efficiency of links with multi antenna receivers in non homogenous wireless networks"
    - "outage probability of general ad hoc networks in the high reliability regime"
    - "performance of optimum combining in a poisson field of interferers and rayleigh fading channels"
    - "performance of interference alignment in clustered wireless ad hoc networks"

Connected through hyperedge HE-2 (induced by source paper "performance of multi antenna linear mmse receivers in non homogeneous poisson and poisson cluster networks"):
  with members:
    - "interference and throughput in aloha based ad hoc networks with isotropic node distribution"
    - "high sir transmission capacity of wireless networks with general fading and node distribution"
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "open loop spatial multiplexing and diversity communications in ad hoc networks"
    - "on the spectral efficiency of links with multi antenna receivers in non homogenous wireless networks"
    - "performance of interference alignment in clustered wireless ad hoc networks"
    - "interference and outage in clustered wireless ad hoc networks"

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)