human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "wireless energy beamforming using received signal strength indicator feedback"
  Abstract: Multiple antenna techniques that allow energy beamforming have been looked upon as a possible candidate for increasing the transfer efficiency between the energy transmitter (ET) and the energy receiver in wireless power transfer. This paper introduces a novel scheme that facilitates energy beamforming by utilizing received signal strength indicator (RSSI) values to estimate the channel. First, in the training stage, the ET will transmit using each beamforming vector in a codebook, which is predefined using a Cramer–Rao lower bound analysis. RSSI value corresponding to each beamforming vector is fed back to the ET, and these values are used to estimate the channel through a maximum likelihood analysis. The results that are obtained are remarkably simple, requires minimal processing, and can be easily implemented. The paper also validates the analytical results numerically, as well as experimentally, and it is shown that the proposed method achieves impressive results.

Connected through hyperedge HE-1 (induced by source paper "wirelessly powered sensor networks power allocation for channel estimation and energy beamforming"):
  with members:
    - "cluster based wireless energy transfer for low complex energy receivers"
    - "on the beneficial roles of fading and transmit diversity in wireless power transfer with nonlinear energy harvesting"
    - "waveform design for wireless power transfer with limited feedback"
    - "distributed wireless power transfer with energy feedback"
    - "robust resource allocation for mimo wireless powered communication networks based on a non linear eh model"
    - "on the feasibility of wireless energy transfer using massive antenna arrays"
    - "waveform design for wireless power transfer"
    - "wireless information and power transfer nonlinearity waveform design and rate energy tradeoff"

Connected through hyperedge HE-2 (induced by source paper "optimal channel estimation for hybrid energy beamforming under phase shifter impairments"):
  with members:
    - "sensitive and nonlinear far field rf energy harvesting in wireless communications"
    - "multiuser millimeter wave beamforming strategies with quantized and statistical csit"
    - "on the feasibility of wireless energy transfer using massive antenna arrays"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "channel estimation for hybrid architecture based wideband millimeter wave systems"
    - "on the number of rf chains and phase shifters and scheduling design with hybrid analog digital beamforming"
    - "i q imbalance aware widely linear receiver for uplink multi cell massive mimo systems design and sum rate analysis"
    - "massive mimo ten myths and one critical question"

Connected through hyperedge HE-3 (induced by source paper "signal and system design for wireless power transfer prototype experiment and validation"):
  with members:
    - "fundamentals of wireless information and power transfer from rf energy harvester models to signal and system designs"
    - "waveform design for wireless power transfer with limited feedback"
    - "large scale multiantenna multisine wireless power transfer"
    - "on capacity achieving distributions over complex awgn channels under nonlinear power constraints and their applications to swipt"
    - "wireless information and power transfer over an awgn channel nonlinearity and asymmetric gaussian signaling"
    - "prototyping and experimentation of a closed loop wireless power transmission with channel acquisition and waveform optimization"
    - "low complexity adaptive multisine waveform design for wireless power transfer"
    - "waveform design for wireless power transfer"

Connected through hyperedge HE-4 (induced by source paper "opportunistic wireless energy beamforming using rssi feedback"):
  with members:
    - "wireless energy transfer to a pair of energy receivers using signal strength feedback"
    - "over the air implementation of uplink noma"
    - "on the efficiency of far field wireless power transfer"
    - "optimized training for net energy maximization in multi antenna wireless energy transfer over frequency selective channel"
    - "energy beamforming with one bit feedback"
    - "throughput maximization in wireless powered communication networks"
    - "spatially selective artificial noise aided transmit optimization for miso multi eves secrecy rate maximization"
    - "a novel mode switching scheme utilizing random beamforming for opportunistic energy harvesting"

Connected through hyperedge HE-5 (induced by source paper "cluster based wireless energy transfer for low complex energy receivers"):
  with members:
    - "wireless energy transfer to a pair of energy receivers using signal strength feedback"
    - "waveform design for wireless power transfer with limited feedback"
    - "over the air implementation of uplink noma"
    - "on the efficiency of far field wireless power transfer"
    - "optimized training for net energy maximization in multi antenna wireless energy transfer over frequency selective channel"
    - "energy beamforming with one bit feedback"
    - "throughput maximization in wireless powered communication networks"
    - "spatially selective artificial noise aided transmit optimization for miso multi eves secrecy rate maximization"

Connected through hyperedge HE-6 (induced by source paper "intelligent reflecting surface enhanced wireless network joint active and passive beamforming design"):
  with members:
    - "spectral and energy efficient wireless powered iot networks noma or tdma"
    - "beyond massive mimo the potential of data transmission with large intelligent surfaces"
    - "wireless powered cooperative jamming for secure ofdm system"
    - "fundamental green tradeoffs progresses challenges and impacts on 5g networks"
    - "an overview of sustainable green 5g networks"
    - "energy efficient resource allocation for wireless powered communication networks"
    - "multiuser miso beamforming for simultaneous wireless information and power transfer"
    - "mimo broadcasting for simultaneous wireless information and power transfer"

Connected through hyperedge HE-7 (induced by source paper "wireless energy transfer to a pair of energy receivers using signal strength feedback"):
  with members:
    - "enhancing wireless information and power transfer by exploiting multi antenna techniques"
    - "multiuser mimo wireless energy transfer with coexisting opportunistic communication"
    - "optimized training for net energy maximization in multi antenna wireless energy transfer over frequency selective channel"
    - "energy beamforming with one bit feedback"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "energy efficient optimization for wireless information and power transfer in large scale mimo systems employing energy beamforming"
    - "mimo broadcasting for simultaneous wireless information and power transfer"

Connected through hyperedge HE-8 (induced by source paper "optimal energy beamforming under per antenna power constraint"):
  with members:
    - "distributed wireless power transfer with energy feedback"
    - "retrodirective multi user wireless power transfer with massive mimo"
    - "communications and signals design for wireless power transmission"
    - "wireless powered communication opportunities and challenges"
    - "collaborative wireless energy and information transfer in interference channel"
    - "enhancing wireless information and power transfer by exploiting multi antenna techniques"
    - "multiuser mimo wireless energy transfer with coexisting opportunistic communication"
    - "energy beamforming with one bit feedback"

Question: Please tell me which class the center node 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)