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 efficiency of opportunistic device to device relaying under lognormal shadowing"):
  Abstract: Energy consumption is a major limitation of low power and mobile devices. Efficient transmission protocols are required to minimize an energy consumption of the mobile devices for ubiquitous connectivity in the next generation wireless networks. Opportunistic schemes select a single relay using the criteria of the best channel and achieve a near-optimal diversity performance in a cooperative wireless system. In this paper, we study the energy efficiency of the opportunistic schemes for device-to-device communication. In the opportunistic approach, an energy consumed by devices is minimized by selecting a single neighboring device as a relay using the criteria of minimum consumed energy in each transmission in the uplink of a wireless network. We derive analytical bounds and scaling laws on the expected energy consumption when the devices experience log-normal shadowing with respect to a base station considering both the transmission as well as circuit energy consumptions. We show that the protocol improves the energy efficiency of the network comparing to the direct transmission even if only a few devices are considered for relaying. We also demonstrate the effectiveness of the protocol by means of simulations in realistic scenarios of the wireless network.

Includes members:
  Member "dore an experimental framework to enable outband d2d relay in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cognitive lpwan towards intelligent wireless services in hybrid low power wide area networks")
  Member "a stochastic geometric analysis of device to device communications operating over generalized fading channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "uav to uav communications in cellular networks")
  Member "device relaying in cellular d2d networks a fairness perspective":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "three way channels with multiple unicast sessions capacity approximation via network transformation")
  Member "effects of relay selection strategies on the spectral efficiency of wireless systems with half and full duplex nodes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "average error probability in wireless sensor networks with imperfect sensing and communication for different decision rules")
  Member "a survey on device to device communication in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "simultaneous energy harvesting and information transmission in a mimo full duplex system a machine learning based design")
  Member "energy efficiency optimization in relay assisted mimo systems with perfect and statistical csi":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "energy efficiency fairness for multi pair wireless powered relaying systems")
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "fully distributed optimal channel assignment for open spectrum access":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "distributed learning for channel allocation over a shared spectrum")

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)