human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "three way channels with multiple unicast sessions capacity approximation via network transformation"):
  Abstract: A network of three nodes mutually communicating with each other is studied. This multi-way network is a suitable model for three-user device-to-device communications. The main goal of this paper is to characterize the capacity region of the underlying Gaussian three-way channel (3WC) within a constant gap. To this end, a capacity outer bound is derived using cut-set bounds and genie-aided bounds. For achievability, the 3WC is first transformed into an equivalent star channel. This latter is then decomposed into a set of “successive” sub-channels, leading to a sub-channel allocation problem. Using backward decoding, interference neutralization, and known results on the capacity of the star-channel relying of physical-layer network coding, an achievable rate region for the 3WC is obtained. It is then shown that the achievable rate region is within a constant gap of the developed outer bound, leading to the desired capacity approximation. Interestingly, in contrast to the Gaussian two-way channel (TWC), adaptation is necessary in the 3WC. Furthermore, message splitting is another ingredient of the developed scheme for the 3WC, which is not required in the TWC. The two setups are, however, similar in terms of their sum-capacity pre-log, which is equal to 2. Finally, some interesting networks and their approximate capacities are recovered as special cases of the 3WC, such as the cooperative broadcast channel and multiple access channel.

Includes members:
  Member "device relaying in cellular d2d networks a fairness perspective":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "energy efficiency of opportunistic device to device relaying under lognormal shadowing")
  Member "a survey on device to device communication in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "simultaneous energy harvesting and information transmission in a mimo full duplex system a machine learning based design")
  Member "mimo multiway relaying with pairwise data exchange a degrees of freedom perspective":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "degrees of freedom of the mimo three way channel with node intermittency")
  Member "the degrees of freedom of multi way device to device communications is limited by 2":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "asymmetric degrees of freedom of the full duplex mimo 3 way channel with unicast and broadcast messages")
  Member "approximate sum capacity of the y channel":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal dof region for the asymmetric two pair mimo two way relay channel")
  Member "degrees of freedom for the mimo multi way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "degrees of freedom of the mimo three way channel with node intermittency")
  Member "the deterministic multicast capacity of 4 node relay networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the capacity region of the deterministic y channel with common and private messages")
  Member "in band full duplex wireless challenges and opportunities":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "resource allocation for irs assisted full duplex cognitive radio systems")

Question: Please tell me which class the source paper 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)