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 multiaccess relay channel coding and symmetric rate optimization"
  Abstract: We consider a system in which two users communicate with a destination with the help of a half-duplex relay. Based on the compute-and-forward scheme, we develop and evaluate the performance of coding strategies that are of network coding spirit. In this framework, instead of decoding the users' information messages, the destination decodes two integer-valued linear combinations that relate the transmitted codewords. Two decoding schemes are considered. In the first one, the relay computes one of the linear combinations and then forwards it to the destination. The destination computes the other linear combination based on the direct transmissions. In the second one, accounting for the side information available at the destination through the direct links, the relay compresses what it gets using Wyner-Ziv compression and conveys it to the destination. The destination then computes the two linear combinations, locally. For both coding schemes, we discuss the design criteria, and derive the allowed symmetric-rate. Next, we address the power allocation and the selection of the integer-valued coefficients to maximize the offered symmetric-rate; an iterative coordinate descent method is proposed. The analysis shows that the first scheme can outperform standard relaying techniques in certain regimes, and the second scheme, while relying on feasible structured lattice codes, can at best achieve the same performance as regular compress-and-forward for the multiaccess relay network model that we study. The results are illustrated through some numerical examples.

Connected through hyperedge HE-1 (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"
    - "compute and forward on a multi user multi relay channel"
    - "successive integer forcing and its sum rate optimality"
    - "multihop backhaul compression for the uplink of cloud radio access networks"
    - "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-2 (induced by source paper "performance analysis of csma with multi packet reception the inhomogeneous case"):
  with members:
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "multiple access via compute and forward"
    - "sign compute resolve for random access"
    - "successive integer forcing and its sum rate optimality"
    - "asynchronous physical layer network coding with quasi cyclic codes"
    - "an algebraic approach to physical layer network coding"
    - "random access with physical layer network coding"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-3 (induced by source paper "cloud compute and forward with relay cooperation"):
  with members:
    - "compute and forward on a multi user multi relay channel"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "a low complexity message recovery method for compute and forward relaying"):
  with members:
    - "compute and forward finding the best equation"
    - "compute and forward protocol design based on improved sphere decoding"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-5 (induced by source paper "compute and forward two way relaying"):
  with members:
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "reliable physical layer network coding"
    - "integer forcing linear receivers"
    - "compute and forward harnessing interference through structured codes"
    - "physical network coding in two way wireless relay channels"
    - "performance bounds for bi directional coded cooperation protocols"
    - "a simple cooperative diversity method based on network path selection"

Connected through hyperedge HE-6 (induced by source paper "compute and forward on a multi user multi relay channel"):
  with members:
    - "throughput optimized multi source cooperative networks with compute and forward"
    - "compute and forward harnessing interference through structured codes"
    - "performance bounds for bi directional coded cooperation protocols"

Connected through hyperedge HE-7 (induced by source paper "distributed compute and forward based relaying strategies in multi user multi relay networks"):
  with members:
    - "relay selection and performance analysis in multiple user networks"
    - "a simple cooperative diversity method based on network path selection"

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)