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: "wirelessly powered communication networks with short packets"
  Abstract: Wirelessly powered communications will entail short packets due to naturally small payloads, low-latency requirements and/or insufficient energy resources to support longer transmissions. In this paper, a wirelessly powered communication system is investigated where an energy harvesting transmitter, charged by one or more power beacons via wireless energy transfer, attempts to communicate with a receiver over a noisy channel. Under a save-then-transmit protocol, the system performance is characterized using metrics such as the energy supply probability at the transmitter, and the achievable rate at the receiver for the case of short packets. Leveraging the framework of finite-length information theory, tractable analytical expressions are derived for the considered metrics in terms of system parameters such as the harvest blocklength, the transmit blocklength, the harvested power and the transmit power. The analysis provides several useful design guidelines. Though using a small transmit power or a small transmit blocklength helps avoid energy outages, the consequently smaller signal-to-noise ratio or the fewer coding opportunities may cause an information outage. Scaling laws are derived to capture this inherent trade-off between the harvest and transmit blocklengths. Moreover, the asymptotically optimal transmit power is derived in closed-form. Numerical results reveal that power control is essential for improving the achievable rate of the system in the finite blocklength regime. The asymptotically optimal transmit power yields nearly optimal performance in the finite blocklength regime.

Connected through hyperedge HE-1 (induced by source paper "rate control for wireless powered communication network with reliability and delay constraints"):
  with members:
    - "statistical analysis of multiple antenna strategies for wireless energy transfer"
    - "spectral and energy efficient wireless powered iot networks noma or tdma"
    - "ultra reliable and low latency communications in 5g downlink physical layer aspects"
    - "ultra reliable cooperative short packet communications with wireless energy transfer"
    - "wireless powered relaying with finite block length codes"
    - "arq with adaptive feedback for energy harvesting receivers"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "subblock constrained codes for real time simultaneous energy and information transfer"

Connected through hyperedge HE-2 (induced by source paper "finite blocklength allocation towards robust age of information optimization"):
  with members:
    - "real time remote estimation with hybrid arq in wireless networked control"
    - "secure short packet communications for mission critical iot applications"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "energy latency tradeoff in ultra reliable low latency communication with retransmissions"
    - "julia a fresh approach to numerical computing"
    - "policy iteration for factored mdps"

Connected through hyperedge HE-3 (induced by source paper "short packet downlink transmission with non orthogonal multiple access"):
  with members:
    - "an optimization perspective of the superiority of noma compared to conventional oma"
    - "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems"
    - "energy efficient packet scheduling with finite blocklength codes convexity analysis and efficient algorithms"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "enhancing the physical layer security of non orthogonal multiple access in large scale networks"
    - "performance comparison of short length error correcting codes"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"
    - "non orthogonal multiple access for degraded broadcast channels ra cema"

Connected through hyperedge HE-4 (induced by source paper "incentive mechanism design for wireless energy harvesting based internet of things"):
  with members:
    - "energy efficient resource allocation in machine to machine communications with multiple access and energy harvesting for iot"
    - "a contract based incentive mechanism for energy harvesting based internet of things"
    - "robust energy harvesting based on a stackelberg game"
    - "distributed and optimal resource allocation for power beacon assisted wireless powered communications"
    - "distributed power splitting for swipt in relay interference channels using game theory"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "throughput maximization in wireless powered communication networks"
    - "internet of things iot a vision architectural elements and future directions"

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)