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 "a new codebook design for analog beamforming in millimeter wave communication"):
  Abstract: In this study, we analyze the codebook design used for analog beamforming. Analog beamforming and combining suffer from a subspace sampling limitation, that is, the receiver cannot directly observe the channel coefficients; instead, the receiver observes a noisy version of their weighted combination. To resolve this, the transmitter and the receiver usually collaborate to determine the best beamformer combiner pair during the beam-sweeping process. This is done by evaluating a limited number of codewords chosen from a pre-defined codebook. In this study, we propose a new framework inspired by the generalized Lloyd algorithm to design analog beamforming codebooks that optimize various performance metrics including the average beamforming gain, the outage, and the average data rate. The flexibility of our framework enables us to design beamforming codebooks for any array shapes including uniform linear and planar arrays. The other practical complexity in analog beamforming is the low resolution of the phase shifters. Therefore, we have extended our algorithm to create quantized codebooks that outperform the existing codebooks in literature. We have also provided extensive simulations to verify the superiority of our proposed codebook as compared with the existing codebooks.

Includes members:
  Member "investigating robustness and interpretability of link prediction via adversarial modifications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey of adversarial learning on graphs")
  Member "partition pruning parallelization aware pruning for deep neural networks":
    also connected through other hyperedges:
      (none)
  Member "age of information in multiple sensing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the age of information in internet of things systems with correlated devices")
  Member "on the age of information in erasure channels with feedback":
    also connected through other hyperedges:
      (none)
  Member "generating user friendly explanations for loan denials using gans":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "maximal adversarial perturbations for obfuscation hiding certain attributes while preserving rest")
  Member "hybrid precoder and combiner design with low resolution phase shifters in mmwave mimo systems":
    also connected through other hyperedges:
      (none)
  Member "embedding multimodal relational data for knowledge base completion":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on knowledge graph embeddings with literals which model links better literal ly")
  Member "on the performance of mrc receiver with unknown timing mismatch a large scale analysis":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "novel time asynchronous noma schemes for downlink transmissions")

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)