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: "wireless mimo switching with zero forcing relaying and network coded relaying"
  Abstract: A wireless relay with multiple antennas is called a multiple-input-multiple-output (MIMO) switch if it maps its input links to its output links using "precode-and-forward." Namely, the MIMO switch precodes the received signal vector in the uplink using some matrix for transmission in the downlink. This paper studies the scenario of $K$ stations and a MIMO switch, which has full channel state information. The precoder at the MIMO switch is either a zero-forcing matrix or a network-coded matrix. With the zero-forcing precoder, each destination station receives only its desired signal with enhanced noise but no interference. With the network-coded precoder, each station receives not only its desired signal and noise, but possibly also self-interference, which can be perfectly canceled. Precoder design for optimizing the received signal-to-noise ratios at the destinations is investigated. For zero-forcing relaying, the problem is solved in closed form in the two-user case, whereas in the case of more users, efficient algorithms are proposed and shown to be close to what can be achieved by extensive random search. For network-coded relaying, we present efficient iterative algorithms that can boost the throughput further.

Connected through hyperedge HE-1 (induced by source paper "wireless mimo switching"):
  with members:
    - "joint source and relay precoding designs for mimo two way relaying based on mse criterion"
    - "transceiver design for multi user multi antenna two way relay cellular systems"
    - "on the equal rate capacity of the awgn multiway relay channel"
    - "the capacity region of multiway relay channels over finite fields with full data exchange"
    - "physical layer network coding tutorial survey and beyond"
    - "the multi way relay channel"
    - "the mimo wireless switch relaying can increase the multiplexing gain"
    - "optimal beamforming for two way multi antenna relay channel with analogue network coding"

Connected through hyperedge HE-2 (induced by source paper "physical layer network coding tutorial survey and beyond"):
  with members:
    - "an algebraic approach to physical layer network coding"
    - "eigen direction alignment based physical layer network coding for mimo two way relay channels"
    - "asynchronous physical layer network coding"
    - "optimal decoding algorithm for asynchronous physical layer network coding"
    - "non memoryless analog network coding in two way relay channel"
    - "reliable physical layer network coding"
    - "blind known interference cancellation"
    - "implementation of physical layer network coding"

Connected through hyperedge HE-3 (induced by source paper "wireless mimo switching"):
  with members:
    - "joint source and relay precoding designs for mimo two way relaying based on mse criterion"
    - "transceiver design for multi user multi antenna two way relay cellular systems"
    - "on the equal rate capacity of the awgn multiway relay channel"
    - "the capacity region of multiway relay channels over finite fields with full data exchange"
    - "physical layer network coding tutorial survey and beyond"
    - "the multi way relay channel"
    - "the mimo wireless switch relaying can increase the multiplexing gain"
    - "optimal beamforming for two way multi antenna relay channel with analogue network coding"

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)