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 "distributed space time coding for wireless two way relaying"):
  Abstract: We consider the wireless two-way relay channel, in which two-way data transfer takes place between the end nodes with the help of a relay. For the Denoise-And-Forward (DNF) protocol, it was shown by Koike-Akino that adaptively changing the network coding map used at the relay greatly reduces the impact of Multiple Access Interference at the relay. The harmful effect of the deep channel fade conditions can be effectively mitigated by proper choice of these network coding maps at the relay. Alternatively, in this paper we propose a Distributed Space Time Coding (DSTC) scheme, which effectively removes most of the deep fade channel conditions at the transmitting nodes itself without any CSIT and without any need to adaptively change the network coding map used at the relay. It is shown that the deep fades occur when the channel fade coefficient vector falls in a finite number of vector subspaces of \BBC2 , which are referred to as the singular fade subspaces. DSTC design criterion referred to as the singularity minimization criterion under which the number of such vector subspaces are minimized is obtained. Also, a criterion to maximize the coding gain of the DSTC is obtained. Explicit low decoding complexity DSTC designs which satisfy the singularity minimization criterion and maximize the coding gain for QAM and PSK signal sets are provided. Simulation results show that at high Signal to Noise Ratio, the DSTC scheme provides large gains when compared to the conventional Exclusive OR network code and performs better than the adaptive network coding scheme.

Includes members:
  Member "wireless network coding for mimo two way relaying using latin rectangles":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "physical layer network coding for the k user multiple access relay channel")
  Member "physical layer network coding for two way relaying with qam and latin squares":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "physical layer network coding for two way relaying with qam")
  Member "wireless bidirectional relaying and latin squares":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "physical layer network coding for two way relaying with qam")
  Member "channel quantization for physical layer network coded two way relaying":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "physical layer network coding for two way relaying with qam")
  Member "multilevel coding schemes for compute and forward":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "space time coded spatial modulated physical layer network coding for two way relaying")
  Member "power allocation strategies and lattice based coding schemes for bi directional relaying":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "maximum throughput opportunistic network coding in two way relay networks")
  Member "physical network coding in two way wireless relay channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "coherent detection for short packet physical layer network coding with fsk modulation")
  Member "on fast decodable space time block codes":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a survey on mimo transmission with discrete input signals technical challenges advances and future trends")

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)