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 "continuous analog channel estimation aided beamforming for massive mimo systems"):
  Abstract: Analog beamforming is an attractive solution to reduce the implementation cost of massive antenna transceivers by using few up/down-conversion chains. However, reduction in the number of up/down-conversion chains leads to an increase in channel estimation (CE) overhead when conventional digital CE techniques are used. This paper introduces a novel CE technique called continuous analog channel estimation (CACE), that can be performed without digital processing, enables analog beamforming at the receiver and additionally provides resilience against oscillator phase-noise. In CACE a reference tone is transmitted continuously with the data signals, and the receiver uses the received signal for reference as a matched filter for combining the data signals, albeit via analog processing. By avoiding digital processing, the CE overhead with CACE is reduced significantly and furthermore becomes independent of the number of antenna elements. We propose a receiver architecture for CACE, analyze its performance in the presence of oscillator phase-noise, and derive near-optimal system parameters. Transmit beamforming and initial access procedure with CACE are also discussed. Simulations confirm that, in comparison to conventional CE, CACE suffers only a small loss in signal-to-interference-plus-noise-ratio, while providing phase-noise resilience and a significant reduction in the CE overhead.

Includes members:
  Member "periodic analog channel estimation aided beamforming for massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "principal component analysis based broadband hybrid precoding for millimeter wave massive mimo systems")
  Member "hybrid beamforming with selection for multiuser massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "principal component analysis based broadband hybrid precoding for millimeter wave massive mimo systems")
  Member "massive mimo channel estimation for millimeter wave systems via matrix completion":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "principal component analysis based broadband hybrid precoding for millimeter wave massive mimo systems")
  Member "position aided beam alignment for millimeter wave backhaul systems with large phased arrays":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "principal component analysis based broadband hybrid precoding for millimeter wave massive mimo systems")
  Member "omnidirectional precoding and combining based synchronization for millimeter wave massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "periodic analog channel estimation aided beamforming for massive mimo systems")
  Member "design and analysis of initial access in millimeter wave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "sense and predict harnessing spatial interference correlation for cognitive radio networks")
  Member "an overview of signal processing techniques for millimeter wave mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "energy efficient hybrid precoding design for integrated multicast unicast millimeter wave communications with swipt")
  Member "initial access in 5g mmwave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "mobility and blockage aware communications in millimeter wave vehicular networks")

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)