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 "bit allocation for increased power efficiency in 5g receivers with variable resolution adcs"):
  Abstract: In future high-capacity wireless systems based on mmWave or massive multiple input multiple output (MIMO), the power consumption of receiver Analog to Digital Converters (ADC) is a concern. Although hybrid or analog systems with fewer ADCs have been proposed, fully digital receivers with many lower resolution ADCs (and lower power) may be a more versatile solution. In this paper, focusing on an uplink scenario, we propose to take the optimization of ADC resolution one step further by enabling variable resolutions in the ADCs that sample the signal received at each antenna. This allows to give more bits to the antennas that capture the strongest incoming signal and fewer bits to the antennas that capture little signal energy and mostly noise. Simulation results show that, depending on the unquantized link SNR, a power saving in the order of 20-80% can be obtained by our variable resolution proposal in comparison with a reference fully digital receiver with a fixed low number of bits in all its ADCs.

Includes members:
  Member "mixed adc massive mimo":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a regression approach to certain information transmission problems")
  Member "adc bit allocation under a power constraint for mmwave massive mimo communication receivers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multipair massive mimo relaying systems with one bit adc s and dac s")
  Member "on the spectral efficiency of massive mimo systems with low resolution adcs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multiple antenna technologies for beyond 5g")
  Member "hybrid architectures with few bit adc receivers achievable rates and energy rate tradeoffs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "capacity bounds for communication systems with quantization and spectral constraints")
  Member "towards an appropriate receiver beamforming scheme for millimeter wave communication a power consumption based comparison":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal link scheduling in millimeter wave multi hop networks with mu mimo radios")
  Member "millimeter wave receiver efficiency a comprehensive comparison of beamforming schemes with low resolution adcs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "capacity bounds for communication systems with quantization and spectral constraints")
  Member "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "capacity bounds for communication systems with quantization and spectral constraints")
  Member "uplink achievable rate for massive mimo systems with low resolution adc":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "asymptotic regime analysis of noma uplink networks under qos delay 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)