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 "joint uplink downlink resource allocation and data offloading in ofdma based wireless powered hetnets"):
  Abstract: This paper considers joint uplink/downlink of an orthogonal frequency division multiple access (OFDMA)-based heterogeneous network (HetNet) consisting of a single macro base station (MBS), multiple femto base stations (FBSs) and access points (APs) where base stations (BSs) can offload data to APs and each mobile user (MU) is able to harvest the received energy using the simultaneous wireless information and power transfer (SWIPT) technique. We also suppose that the harvested energy of MUs are used for their uplink information transmission. We devise a radio resource allocation (RRA) algorithm to maximize the uplink sum data rate of MUs subject to a minimum required downlink data rate of each MU and maximum allowable transmit power of each BS, AP, and MU. More specifically, both the frequency division duplex (FDD) and time division duplex (TDD) schemes are investigated. The proposed non-convex optimization problems are solved using an iterative algorithm. It is also proved that the proposed algorithm converges to a near-optimal solution. Simulation results illustrate that the TDD scheme improves the performance compared to the FDD scheme. In addition, it is shown that utilizing the data offloading technique improves the uplink sum data rate of MUs compared to the scenario without any AP.

Includes members:
  Member "information and energy cooperation in ofdm relaying protocols and optimization":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "energy efficiency of distributed antenna systems with wireless power transfer")
  Member "an overview of load balancing in hetnets old myths and open problems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a hybrid model based and data driven approach to spectrum sharing in mmwave cellular networks")
  Member "throughput maximization in wireless powered communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on maximizing information reliability in wireless powered cooperative networks")
  Member "wireless information and power transfer in multiuser ofdm systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cognitive wireless power transfer in the presence of reactive primary communication user")

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)