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 "on channel inseparability and the dof region of mimo multi way relay channels"):
  Abstract: Full-duplex multi-way relaying is a potential solution for supporting high data rates in future Internet-of-Things (IoT) and 5G networks. Thus, in this paper the full-duplex MIMO multi-way channel consisting of 3 users (Y-channel) with $M$ antennas each and a common relay node with $N$ antennas is studied. Each user wants to exchange messages with all the other users via the relay. A transmission strategy is proposed based on channel diagonalization that decomposes the channel into parallel sub-channels, and physical-layer network coding over these sub-channels. It is shown that the proposed strategy achieves the optimal DoF region of the channel if $N\leq M$. Furthermore, the proposed strategy that requires joint encoding over multiple sub-channels is compared to another strategy that encodes over each sub-channel separately. It turns out that coding jointly over sub-channels is necessary for an optimal transmission strategy. This shows that the MIMO Y-channel is inseparable.

Includes members:
  Member "simultaneous diagonalization on the dof region of the k user mimo multi way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cyclic communication and the inseparability of mimo multi way relay channels")
  Member "approximate sum capacity of the y channel":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal dof region for the asymmetric two pair mimo two way relay channel")
  Member "the degrees of freedom of the mimo y channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "optimal dof region for the asymmetric two pair mimo two way relay channel")
  Member "divide and conquer approaching the capacity of the two pair bidirectional gaussian relay network":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "degrees of freedom of the mimo three way channel with node intermittency")
  Member "signal space alignment for the gaussian y channel":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "three way channels with multiple unicast sessions capacity approximation via network transformation")
  Member "the multi way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "multi agent reinforcement learning for energy harvesting two hop communications with full cooperation")
  Member "capacity region of the deterministic multi pair bi directional relay network":
    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 "interference alignment and the degrees of freedom for the k user interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "on off switched interference alignment for diversity multiplexing tradeoff improvement in the 2 user x network with two antennas")

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)