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: "the mimo wireless switch relaying can increase the multiplexing gain"
  Abstract: This paper considers an interference network composed of K half-duplex single-antenna pairs of users who wish to establish bi-directional communication with the aid of a multi-input-multi-output (MIMO) half-duplex relay node. This channel is referred to as the "MIMO Wireless Switch" since, for the sake of simplicity, our model assumes no direct link between the two end nodes of each pair implying that all communication must go through the relay node (i.e., the MIMO switch). Assuming a delay-limited scenario, the fundamental limits in the high signal-to-noise ratio (SNR) regime is analyzed using the diversity multiplexing tradeoff (DMT) framework. Our results sheds light on the structure of optimal transmission schemes and the gain offered by the relay node in two distinct cases, namely reciprocal and non-reciprocal channels (between the relay and end-users). In particular, the existence of a relay node, equipped with a sufficient number of antennas, is shown to increase the multiplexing gain; as compared with the traditional fully connected K-pair interference channel. To the best of our knowledge, this is the first known example where adding a relay node results in enlarging the pre-log factor of the sum rate. Moreover, for the case of reciprocal channels, it is shown that, when the relay has a number of antennas at least equal to the sum of antennas of all the users, static time allocation of decode and forward (DF) type schemes is optimal. On the other hand, in the non-reciprocal scenario, we establish the optimality of dynamic decode and forward in certain relevant scenarios.

Connected through hyperedge HE-1 (induced by source paper "cooperative algorithms for mimo amplify and forward relay networks"):
  with members:
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "aligned interference neutralization and the degrees of freedom of the 2 user interference channel with instantaneous relay"
    - "cooperative algorithms for mimo interference channels"
    - "on feasibility of interference alignment in mimo interference networks"
    - "capacity bounds for two hop interference networks"
    - "on feasibility of interference alignment in mimo interference networks"
    - "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture"
    - "degrees of freedom of the k user m times n mimo interference channel"

Connected through hyperedge HE-2 (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"
    - "wireless mimo switching with zero forcing relaying and network coded relaying"
    - "physical layer network coding tutorial survey and beyond"
    - "the multi way relay channel"
    - "optimal beamforming for two way multi antenna relay channel with analogue 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"
    - "wireless mimo switching with zero forcing relaying and network coded relaying"
    - "physical layer network coding tutorial survey and beyond"
    - "the multi way relay channel"
    - "optimal beamforming for two way multi antenna relay channel with analogue network coding"

Connected through hyperedge HE-4 (induced by source paper "wireless mimo switching with network coding"):
  with members:
    - "physical layer network coding"

Connected through hyperedge HE-5 (induced by source paper "interference channel with an out of band relay"):
  with members:
    - "ergodic fading interference channels sum capacity and separability"
    - "the multi way relay channel"
    - "capacity regions and sum rate capacities of vector gaussian interference channels"
    - "gaussian z interference channel with a relay link achievability region and asymptotic sum capacity"
    - "noisy network coding"
    - "noisy interference sum rate capacity of parallel gaussian interference channels"
    - "multiple multicasts with the help of a relay"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"

Connected through hyperedge HE-6 (induced by source paper "achievable rate regions and outer bounds for a multi pair bi directional relay network"):
  with members:
    - "the multi way relay channel"
    - "capacity of the gaussian two way relay channel to within 1 2 bit"
    - "capacity region of the deterministic multi pair bi directional relay network"
    - "bits through relay cascades with half duplex constraint"
    - "broadcast capacity region of two phase bidirectional relaying"
    - "to code or not to code in multi hop relay channels"
    - "on the capacity and diversity multiplexing tradeoff of the two way relay channel"
    - "bi directional half duplex protocols with multiple relays"

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)