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: "power allocation strategies and lattice based coding schemes for bi directional relaying"
  Abstract: We consider a communication system where two transmitters wish to exchange information through a half-duplex relay in the middle. The channels between the transmitters and the relay have asymmetric channel gains. More specifically, the channels are assumed to be synchronized with complex inputs and complex fading coefficients with an average power constraint on the inputs to the channels. The noise at the receivers have the same power spectral density and are assumed to be white and Gaussian. We restrict our attention to transmission schemes where information from the two nodes are simultaneously sent to the relay during a medium access phase followed by a broadcast phase where the relay broadcasts information to both the nodes. An upper bound on the capacity for the two phase protocol under a sum power constraint on the transmit power from all the nodes is obtained as a solution to a convex optimization problem. We show that a scheme using channel inversion with lattice decoding can obtain a rate a small constant 0.09 bits from the upper bound at high signal-to-noise ratios. Numerical results show that the proposed scheme can perform very close to the upper bound.

Connected through hyperedge HE-1 (induced by source paper "maximum throughput opportunistic network coding in two way relay networks"):
  with members:
    - "physical network coding in two way wireless relay channels"

Connected through hyperedge HE-2 (induced by source paper "fading two way relay channels physical layer versus digital network coding"):
  with members:
    - "energy optimization for stable two way relaying with a multi access uplink"
    - "digital network coding aided two way relaying energy minimization and queue analysis"
    - "reliable physical layer network coding"
    - "compute and forward harnessing interference through structured codes"
    - "physical network coding in two way wireless relay channels"
    - "physical layer network coding"

Connected through hyperedge HE-3 (induced by source paper "an algebraic approach to physical layer network coding"):
  with members:
    - "lattices over eisenstein integers for compute and forward"
    - "communication over finite chain ring matrix channels"
    - "multilevel coding schemes for compute and forward with flexible decoding"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "wireless network information flow a deterministic approach"
    - "reliable physical layer network coding"
    - "the degrees of freedom of compute and forward"
    - "integer forcing linear receivers"

Connected through hyperedge HE-4 (induced by source paper "multilevel coding schemes for compute and forward with flexible decoding"):
  with members:
    - "an algebraic approach to physical layer network coding"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "divide and conquer approaching the capacity of the two pair bidirectional gaussian relay network"
    - "wireless network information flow a deterministic approach"
    - "reliable physical layer network coding"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "universality for the noisy slepian wolf problem via spatial coupling"
    - "universal codes for the gaussian mac via spatial coupling"

Connected through hyperedge HE-5 (induced by source paper "distributed space time coding for wireless two way relaying"):
  with members:
    - "wireless network coding for mimo two way relaying using latin rectangles"
    - "physical layer network coding for two way relaying with qam and latin squares"
    - "wireless bidirectional relaying and latin squares"
    - "channel quantization for physical layer network coded two way relaying"
    - "multilevel coding schemes for compute and forward"
    - "physical network coding in two way wireless relay channels"
    - "on fast decodable space time block codes"

Connected through hyperedge HE-6 (induced by source paper "performance analysis of adaptive physical layer network coding for wireless two way relaying"):
  with members:
    - "differential modulation for bi directional relaying with analog network coding"
    - "wireless bidirectional relaying and latin squares"
    - "channel quantization for physical layer network coded two way relaying"
    - "multilevel coding schemes for compute and forward"
    - "physical network coding in two way wireless relay channels"

Connected through hyperedge HE-7 (induced by source paper "wireless network coding for mimo two way relaying using latin rectangles"):
  with members:
    - "wireless bidirectional relaying and latin squares"
    - "channel quantization for physical layer network coded two way relaying"
    - "physical network coding in two way wireless relay channels"

Connected through hyperedge HE-8 (induced by source paper "multilevel coding schemes for compute and forward"):
  with members:
    - "an algebraic approach to physical layer network coding"
    - "compute and forward harnessing interference through structured codes"
    - "joint physical layer coding and network coding for bi directional relaying"

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)