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: "asymptotic spectral efficiency of multi antenna links in wireless networks with limited tx csi"
  Abstract: An asymptotic technique is presented for finding the spectral efficiency of multi-antenna links in wireless networks where transmitters have Channel-State-Information (CSI) corresponding to their target receiver. Transmitters are assumed to transmit independent data streams on a limited number of channel modes which limits the rank of transmit covariance matrices. This technique is applied to spatially distributed networks to derive an approximation for the asymptotic spectral efficiency in the interference-limited regime as a function of link-length, interferer density, number of antennas per receiver and transmitter, number of transmit streams and path-loss exponent. It is found that targeted-receiver CSI, which can be acquired with low overhead in duplex systems with reciprocity, can increase spectral efficiency several fold, particularly when link lengths are large, node density is high or both. Additionally, the per-link spectral efficiency is found to be a function of the ratio of node density to the number of receiver antennas, and that it can often be improved if nodes transmit using fewer streams. These results are validated for finite-sized systems by Monte-Carlo simulation and are asymptotic in the regime where the number of users and antennas per receiver approach infinity.

Connected through hyperedge HE-1 (induced by source paper "downlink sdma with limited feedback in interference limited wireless networks"):
  with members:
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "open loop spatial multiplexing and diversity communications in ad hoc networks"
    - "performance of optimum combining in a poisson field of interferers and rayleigh fading channels"
    - "transmission capacity of ad hoc networks with multiple antennas using transmit stream adaptation and interference cancelation"
    - "mode switching for the multi antenna broadcast channel based on delay and channel quantization"
    - "coverage in multi antenna two tier networks"
    - "spatial interference cancellation for multi antenna mobile ad hoc networks"
    - "transmission capacity of ad hoc networks with spatial diversity"

Connected through hyperedge HE-2 (induced by source paper "limited feedback over temporally correlated channels for the downlink of a femtocell network"):
  with members:
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "goodput maximization in cooperative networks with arq"
    - "open vs closed access femtocells in the uplink"
    - "limited feedback for temporally correlated mimo channels with other cell interference"
    - "transmission capacity of ad hoc networks with multiple antennas using transmit stream adaptation and interference cancelation"
    - "mode switching for the multi antenna broadcast channel based on delay and channel quantization"
    - "coding versus arq in fading channels how reliable should the phy be"
    - "coverage in multi antenna two tier 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)