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 degrees of freedom of multi way device to device communications is limited by 2"
  Abstract: A 3-user device-to-device (D2D) communications scenario is studied where each user wants to send and receive a message from each other user. This scenario resembles a 3-way communication channel. The capacity of this channel is unknown in general. In this paper, a sum-capacity upper bound that characterizes the degrees-of-freedom of the channel is derived by using genie-aided arguments. It is further shown that the derived upper bound is achievable within a gap of 2 bits, thus leading to an approximate sum-capacity characterization for the 3-way channel. As a by-product, interesting analogies between multi-way communications and multi-way relay communications are concluded.

Connected through hyperedge HE-1 (induced by source paper "three way channels with multiple unicast sessions capacity approximation via network transformation"):
  with members:
    - "device relaying in cellular d2d networks a fairness perspective"
    - "a survey on device to device communication in cellular networks"
    - "mimo multiway relaying with pairwise data exchange a degrees of freedom perspective"
    - "approximate sum capacity of the y channel"
    - "degrees of freedom for the mimo multi way relay channel"
    - "the deterministic multicast capacity of 4 node relay networks"
    - "in band full duplex wireless challenges and opportunities"
    - "two way interference channels"

Connected through hyperedge HE-2 (induced by source paper "asymmetric degrees of freedom of the full duplex mimo 3 way channel with unicast and broadcast messages"):
  with members:
    - "achievable degrees of freedom on k user mimo multi way relay channel with common and private messages"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "design and characterization of a full duplex multiantenna system for wifi networks"
    - "in band full duplex wireless challenges and opportunities"
    - "experiment driven characterization of full duplex wireless systems"

Connected through hyperedge HE-3 (induced by source paper "device relaying in cellular d2d networks a fairness perspective"):
  with members:
    - "a survey on device to device communication in cellular networks"
    - "capacity results for two classes of three way channels"
    - "signal space alignment for the gaussian y channel"
    - "compute and forward harnessing interference through structured codes"
    - "cooperative relay broadcast channels"

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)