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 "advanced receiver architectures for millimeter wave communications with low resolution adcs"):
  Abstract: Deploying large antenna arrays coupled with high-speed and high-resolution analog-to-digital converters (ADCs) leads to the high implementation cost and excessive power consumption in millimeter wave (mmWave) communication receivers. Although using low-resolution ADCs is a promising solution to address this problem, the performance degradation due to non-negligible quantization error and the large number of radio frequency (RF) chains are not desirable. In this article, we discuss advanced receiver architectures with low-resolution ADCs that further improve the spectral and energy efficiency tradeoff. To reduce both the number of RF chains and ADC bits, hybrid analog-and-digital beamforming is jointly considered with low-resolution ADCs. We explore the challenges in designing such a receiver and present key insights on how this advanced architecture overcomes such challenges. As an alternative low-resolution ADC receiver, we also introduce a receiver with learning-based detection. Such a receiver does not require explicit channel estimation, thereby is suitable for one-bit ADC systems. Finally, future challenges and research issues are discussed.

Includes members:
  Member "two stage analog combining in hybrid beamforming systems with low resolution adcs":
    also connected through other hyperedges:
      (none)
  Member "on low resolution adcs in practical 5g millimeter wave massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "capacity bounds for communication systems with quantization and spectral constraints")
  Member "robust learning based ml detection for massive mimo systems with one bit quantized signals":
    also connected through other hyperedges:
      (none)
  Member "a comparison of hybrid beamforming and digital beamforming with low resolution adcs for multiple users and imperfect csi":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "two stage analog combining in hybrid beamforming systems with low resolution adcs")
  Member "channel estimation and performance analysis of one bit massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "performance analysis of quantized uplink massive mimo ofdm with oversampling under adjacent channel interference")
  Member "resolution adaptive hybrid mimo architectures for millimeter wave communications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "hybrid combining based on constant phase shifters and active inactive switches")
  Member "an overview of signal processing techniques for millimeter wave mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "energy efficient hybrid precoding design for integrated multicast unicast millimeter wave communications with swipt")
  Member "hybrid architectures with few bit adc receivers achievable rates and energy rate tradeoffs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "capacity bounds for communication systems with quantization and spectral constraints")

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)