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: "compute and forward on a multi user multi relay channel"
  Abstract: In this paper, we consider a system in which multiple users communicate with a destination with the help of multiple half-duplex relays. Based on the compute-and-forward scheme, each relay, instead of decoding the users' messages, decodes an integer-valued linear combination that relates the transmitted messages. Then, it forwards the linear combination towards the destination. Given these linear combinations, the destination may or may not recover the transmitted messages since the linear combinations are not always full rank. Therefore, we propose an algorithm where we optimize the precoding factor at the users such that the probability that the equations are full rank is increased and that the transmission rate is maximized. We show, through some numerical examples, the effectiveness of our algorithm and the advantage of performing precoding allocation at the users. Also, we show that this scheme can outperform standard relaying techniques in certain regimes.

Connected through hyperedge HE-1 (induced by source paper "signal aligned network coding in k user mimo interference channels with limited receiver cooperation"):
  with members:
    - "optimized backhaul compression for uplink cloud radio access network"
    - "uplink multicell processing with limited backhaul via per base station successive interference cancellation"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-2 (induced by source paper "robust successive compute and forward over multi user multi relay networks"):
  with members:
    - "full diversity unitary precoded integer forcing"
    - "compute and forward finding the best equation"
    - "phase precoded compute and forward with partial feedback"
    - "lattices from codes for harnessing interference an overview and generalizations"
    - "compute and forward two way relaying"
    - "successive integer forcing and its sum rate optimality"
    - "asynchronous physical layer network coding with quasi cyclic codes"
    - "convolutional network coded cooperation in multi source networks with a multi antenna relay"

Connected through hyperedge HE-3 (induced by source paper "lossy compression for compute and forward in limited backhaul uplink multicell processing"):
  with members:
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "compute compress and forward exploiting asymmetry of wireless relay networks"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "successive integer forcing and its sum rate optimality"
    - "multihop backhaul compression for the uplink of cloud radio access networks"
    - "compute and forward on a multiaccess relay channel coding and symmetric rate optimization"
    - "uplink multicell processing with limited backhaul via per base station successive interference cancellation"
    - "robust and efficient distributed compression for cloud radio access networks"

Connected through hyperedge HE-4 (induced by source paper "cloud compute and forward with relay cooperation"):
  with members:
    - "compute and forward on a multiaccess relay channel coding and symmetric rate optimization"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "wireless network information flow a deterministic approach"
    - "quantized compute and forward a low complexity architecture for distributed antenna systems"
    - "compute and forward harnessing interference through structured codes"
    - "physical layer network coding"

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)