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 "5g downlink multi beam signal design for los positioning"):
  Abstract: In this work, we study optimal transmit strategies for minimizing the positioning error bound in a line-of-sight scenario, under different levels of prior knowledge of the channel parameters. For the case of perfect prior knowledge, we prove that two beams are optimal, and determine their beam directions and optimal power allocation. For the imperfect prior knowledge case, we compute the optimal power allocation among the beams of a codebook for two different robustness-related objectives, namely average or maximum squared position error bound minimization. Our numerical results show that our low-complexity approach can outperform existing methods that entail higher signaling and computational overhead.

Includes members:
  Member "optimal precoders for tracking the aod and aoa of a mmwave path":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "tracking position and orientation through millimeter wave lens mimo in 5g systems")
  Member "performance limits of single anchor mm wave positioning":
    also connected through other hyperedges:
      (none)
  Member "error bounds for uplink and downlink 3d localization in 5g mmwave 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 "transmitter beam selection in millimeter wave mimo with in band position aiding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "optimal precoders for tracking the aod and aoa of a mmwave path")
  Member "performance limits and geometric properties of array localization":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cooperative network synchronization asymptotic analysis")

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)