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 "energy efficient extended sub connected architecture for hybrid precoding in millimeter wave massive mimo systems"):
  Abstract: In this paper, we propose an extended sub-connected architecture with arbitrary radio frequency (RF) and antenna mappings (i.e., the number of RF chains connected to a subarray and the number of antennas in each subarray can be arbitrary) to improve the energy efficiency of the hybrid precoding in millimeter wave massive multiple input multiple output (MIMO) systems. For any given RF and antenna mappings in this extended sub-connected architecture, we propose a successive interference cancelation based hybrid precoding scheme with near-optimal performance. This scheme firstly decomposes the total achievable rate optimization problem into multiple sub-rate optimization problems each of which is only related to one subarray, then, maximizes these sub-rates successively. Simulation results demonstrate that the proposed scheme achieves similar achievable rate as the corresponding unconstraint optimal precoding scheme and the energy efficiency of the proposed scheme in the extended sub-connected architecture is the best compared with the existing schemes in the full-connected and sub-connected architectures.

Includes members:
  Member "spatial lobes division based low complexity hybrid precoding and diversity combining for mmwave iot systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "millimeter wave massive mimo systems relying on generalized sub array connected hybrid precoding")
  Member "non uniform quantization codebook based hybrid precoding to reduce feedback overhead in millimeter wave mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "millimeter wave massive mimo systems relying on generalized sub array connected hybrid precoding")
  Member "stepwise transmit antenna selection in downlink massive multiuser mimo":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "robustness of low complexity massive mimo architectures against passive eavesdropping")
  Member "downlink precoding with mixed statistical and imperfect instantaneous csi for massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "spectral efficiency analysis of cell free massive mimo systems with zero forcing detector")
  Member "pilot power allocation through user grouping in multi cell massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "spectral efficiency analysis of cell free massive mimo systems with zero forcing detector")
  Member "alternating minimization algorithms for hybrid precoding in millimeter wave mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "beamforming design for large scale antenna arrays using deep learning")
  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 "low rf complexity technologies to enable millimeter wave mimo with large antenna array for 5g wireless communications":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "artificial intelligence enabled wireless networking for 5g and beyond recent advances and future challenges")

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)