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 "energy efficient swipt in iot distributed antenna systems"):
  Abstract: The rapid growth of Internet of Things (IoT) dramatically increases power consumption of wireless devices. Simultaneous wireless information and power transfer (SWIPT) is a promising solution for sustainable operation of IoT devices. In this paper, we study energy efficiency (EE) in SWIPT-based distributed antenna system (DAS), where power splitting (PS) is applied at IoT devices to coordinate the energy harvesting (EH) and information decoding (ID) processes by varying transmit power of distributed antenna (DA) ports and PS ratios of IoT devices. In the case of single IoT device, we find the optimal closed-form solution by deriving some useful properties based on Karush-Kuhn-Tucker (KKT) conditions and the solution is no need for numerical iterations. For the case of multiple IoT devices, we propose an efficient suboptimal algorithm to solve the EE maximization problem. Simulation results show that the proposed schemes achieve better EE performance compared with other benchmark schemes in both single and multiple IoT devices cases.

Includes members:
  Member "simultaneous wireless information and power transfer in cooperative relay networks with rateless codes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fog assisted multi user swipt networks local computing or offloading")
  Member "artificial noise aided secrecy information and power transfer in ofdma systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "energy efficiency of distributed antenna systems with wireless power transfer")
  Member "training based swipt optimal power splitting at the receiver":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "throughput maximization in two hop df multiple relay network with simultaneous wireless information and power transfer")
  Member "energy efficient resource assignment and power allocation in heterogeneous cloud radio access networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "power efficient resource allocation in c rans with sinr constraints and deadlines")
  Member "information and energy cooperation in ofdm relaying protocols and optimization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "energy efficiency of distributed antenna systems with wireless power transfer")
  Member "energy harvesting for physical layer security in ofdma networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "secrecy outage of swipt in the presence of cooperating eavesdroppers")
  Member "wireless information and energy transfer for two hop non regenerative mimo ofdm relay networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "transmission delay minimization in wireless powered communication systems")
  Member "secure and green swipt in distributed antenna networks with limited backhaul capacity":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "joint trajectory and resource allocation design for energy efficient secure uav communication systems")

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)