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 "large scale mimo is capable of eliminating power thirsty channel coding for wireless transmission of hevc h 265 video"):
  Abstract: A wireless video transmission architecture relying on the emerging LS-MIMO technique is proposed. Upon using the most advanced high efficiency video coding (also known as H.265), we demonstrate that the proposed architecture invoking the low-complexity linear zero-forcing detector and dispensing with any channel coding is capable of significantly outperforming the conventional small-scale MIMO-based architecture, even if the latter employs the high-complexity optimal maximum likelihood detector and a rate- 1/3 recursive systematic convolutional channel codec. Specifically, compared to the conventional small-scale MIMO system, the effective system throughput of the proposed LS-MIMO-based scheme is increased by a factor of up to three, and the quality of reconstructed video quantified in terms of the PSNR is improved by about 22.5 dB at a channel SNR of Eb/N0 ~ 6 dB for delay-tolerant video file delivery applications, and about 20 dB for lip-synchronized real-time interactive video applications. Alternatively, viewing the attainable improvement from a power-saving perspective, a channel SNR gain as high as δEb/N0 ~ 5 dB is observed at a PSNR of 36 dB for the scenario of delay-tolerant video applications, and again, an even higher channel SNR gain is achieved in the real-time video application scenario. Therefore, we envisage that LS-MIMO-aided wireless multimedia communications is capable of dispensing with the power-thirsty channel codec altogether!

Includes members:
  Member "fifty years of mimo detection the road to large scale mimos":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "model driven deep learning for joint mimo channel estimation and signal detection")
  Member "an esprit based approach for 2 d localization of incoherently distributed sources in massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "tracking position and orientation through millimeter wave lens mimo in 5g systems")
  Member "achieving maximum energy efficiency in multi relay ofdma cellular networks a fractional programming approach":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "twin timescale radio resource management for ultra reliable and low latency vehicular networks")
  Member "scaling up mimo opportunities and challenges with very large arrays":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "downlink secrecy rate of one bit massive mimo system with active eavesdropping")
  Member "energy and spectral efficiency of very large multiuser mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "downlink secrecy rate of one bit massive mimo system with active eavesdropping")

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)