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 "diversity of mimo multihop relay channels"):
  Abstract: We consider slow fading relay channels with a single multi-antenna source-destination terminal pair. The source signal arrives at the destination via N hops through N − 1 layers of relays. We analyze the diversity of such channels with fixed network size at high SNR. In the clustered case where the relays within the same layer can have full cooperation, the cooperative decode-and-forward (DF) scheme is shown to be optimal in terms of the diversity-multiplexing tradeoff (DMT). The upper bound on the DMT, the cut-set bound, is attained. In the non-clustered case, we show that the naive amplify-andforward (AF) scheme has the maximum multiplexing gain of the channel but is suboptimal in diversity, as compared to the cut-set bound. To improve the diversity, space-time relay processing is introduced through the parallel partition of the multihop channel. The idea is to let the source signal go through K different “AF paths” in the multihop channel. This parallel AF scheme creates a parallel channel in the time domain and has the maximum diversity if the partition is properly designed. Since this scheme does not achieve the maximum multiplexing gain in general, we propose a flip-and-forward (FF) scheme that is built from the parallel AF scheme. It is shown that the FF scheme achieves both the maximum diversity and multiplexing gains in a distributed multihop channel of arbitrary size. In order to realize the DMT promised by the relaying strategies, approximately universal coding schemes are also proposed.

Includes members:
  Member "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "wireless mesh networking with devices equipped with multi connectivity")
  Member "towards the optimal amplify and forward cooperative diversity scheme":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "relay pair selection in buffer aided successive opportunistic relaying using a multi antenna source")
  Member "diversity multiplexing tradeoff of double scattering mimo channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "asymptotic analysis of rzf over double scattering channels with mmse estimation")
  Member "capacity and character expansions moment generating function and other exact results for mimo correlated channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the capacity of fractal d2d social networks with hierarchical communications")
  Member "optimal space time codes for the mimo amplify and forward cooperative channel":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "unmanned aerial vehicle assisted cellular communication")
  Member "approximately universal optimality over several dynamic and non dynamic cooperative diversity schemes for wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "wireless coded caching a topological perspective")
  Member "approximately universal codes over slow fading channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "space time signal design for multilevel polar coding in slow fading broadcast channels")

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)