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 "achievable rate regions and outer bounds for a multi pair bi directional relay network"):
  Abstract: In a bi-directional relay channel, a pair of nodes wish to exc hange independent messages over a shared wireless half-duplex channel with the help of relays. Recent work has mostly considered information theoretic limits of the bi-directional relay channel with t wo terminal nodes (or end users) and one relay. In this work we consider bi-directional relaying with one base station, multiple terminal nodes and one relay, all of which operate in half-duplex modes. We assume that each terminal node communicates with the base-station in a bi-directional fashion through t he relay and do not place any restrictions on the channels between the users, relays and base-stations; t hat is, each node has a direct link with every other node. Our contributions are three-fold: 1) the introd uction of four new temporal protocols which fully exploit the two-way nature of the data and outperform simple routing or multi-hop communication schemes by carefully combining network coding, random binning and user cooperation which exploit over-heard and own-message side information, 2) derivations of inner and outer bounds on the capacity region of the discrete-memoryless multi-pair two-way network, and 3) a numerical evaluation of the obtained achievable rate regions and outer bounds in Gaussian noise which illustrate the performance of the proposed protocols compared to simpler schemes, to each other, to the outer bounds, which highlight the relative gains achieved by network coding, random binning and compress-and-forward-type cooperation between terminal nodes.

Includes members:
  Member "the multi way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi agent reinforcement learning for energy harvesting two hop communications with full cooperation")
  Member "capacity of the gaussian two way relay channel to within 1 2 bit":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "successive integer forcing and its sum rate optimality")
  Member "the mimo wireless switch relaying can increase the multiplexing gain":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "cooperative algorithms for mimo amplify and forward relay networks")
  Member "capacity region of the deterministic multi pair bi directional relay network":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the capacity region of the deterministic y channel with common and private messages")
  Member "bits through relay cascades with half duplex constraint":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "protocol coding through reordering of user resources part i capacity results")
  Member "broadcast capacity region of two phase bidirectional relaying":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the dof of two way 2 2 2 relay networks with or without relay caching")
  Member "to code or not to code in multi hop relay channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "end to end joint antenna selection strategy and distributed compress and forward strategy for relay channels")
  Member "on the capacity and diversity multiplexing tradeoff of the two way relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "degrees of freedom of the mimo three way channel with node intermittency")

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)