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 "beyond massive mimo the potential of positioning with large intelligent surfaces"):
  Abstract: We consider the potential for positioning with a system where antenna arrays are deployed as a large intelligent surface (LIS), which is a newly proposed concept beyond massive multi-input multi-output (MIMO). In a first step, we derive Fisher-information matrix (FIM) and Cramer–Rao lower bound (CRLB) in closed form for positioning a terminal located perpendicular to the center of the LIS, whose location we refer to as being on the central perpendicular line (CPL) of the LIS. For a terminal that is not on the CPL, closed-form expressions of the CRLB seem out of reach, and we alternatively find approximations that are shown to be accurate. Under mild conditions, we show that the CRLB for all three Cartesian dimensions (  $x$   ,   $y$  , and    $z$  ) decreases quadratically in the surface area of the LIS. In a second step, we analyze the CRLB for positioning when there is an unknown phase    $\varphi$   presented in the analog circuits of the LIS. We then show that the CRLBs are dramatically degraded for all three dimensions and decrease in the third order of the surface area. Moreover, with an infinitely large LIS, the CRLB for the   $z$   -dimension with an unknown   $\varphi$    is 6 dB higher than the case without phase uncertainty, and the CRLB for estimating    $\varphi$   converges to a constant that is independent of the wavelength   $\lambda$  . At last, we extensively discuss the impact of centralized and distributed deployments of LIS, and show that a distributed deployment of LIS can enlarge the coverage and improve the overall positioning performance.

Includes members:
  Member "beyond massive mimo the potential of data transmission with large intelligent surfaces":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "overhead aware design of reconfigurable intelligent surfaces in smart radio environments")
  Member "the potential of using large antenna arrays on intelligent surfaces":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "large intelligent surface lis based communications new features and system layouts")
  Member "reciprocity calibration for massive mimo proposal modeling and validation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "amplitude and phase estimation for absolute calibration of massive mimo front ends")
  Member "fingerprinting based positioning in distributed massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "deep learning for tdd and fdd massive mimo mapping channels in space and frequency")
  Member "massive mimo for next generation wireless systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "joint power control and lsfd for wireless powered cell free massive mimo")
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "scaling up mimo opportunities and challenges with very large arrays":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "downlink secrecy rate of one bit massive mimo system with active eavesdropping")
  Member "fundamental limits of wideband localization part i a general framework":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "hybrid lifi and wifi networks a survey")

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)