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 in mimo underlay and overlay device to device communications and cognitive radio systems"):
  Abstract: This paper addresses the problem of resource allocation for systems in which a primary and a secondary link share the available spectrum by an underlay or overlay approach. After observing that such a scenario models both cognitive radio and D2D communications, we formulate the problem as the maximization of the secondary energy efficiency subject to a minimum rate requirement for the primary user. This leads to challenging nonconvex, fractional problems. In the underlay scenario, we obtain the global solution by means of a suitable reformulation. In the overlay scenario, two algorithms are proposed. The first one yields a resource allocation fulfilling the first-order optimality conditions of the resource allocation problem, by solving a sequence of easier fractional programs. The second one enjoys a weaker optimality claim, but an even lower computational complexity. Numerical results demonstrate the merits of the proposed algorithms both in terms of energy-efficient performance and complexity, also showing that the two proposed algorithms for the overlay scenario perform very similarly, despite the different complexity.

Includes members:
  Member "energy efficient power control a look at 5g wireless technologies":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "energy efficiency optimization for downlink massive mimo with statistical csit")
  Member "energy efficiency and sum rate when massive mimo meets device to device communication":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint power and resource allocation of d2d communication with low resolution adc")
  Member "energy efficient resource allocation for device to device underlay communication":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "distributed artificial intelligence solution for d2d communication in 5g networks")
  Member "dynamic power control for delay aware device to device communications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "unified scheduling for predictable communication reliability in cellular networks with d2d links")
  Member "resource allocation under channel uncertainties for relay aided device to device communication underlaying lte a cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "multiple d2d multicasts in underlay cellular networks")
  Member "energy efficiency and spectral efficiency tradeoff in device to device d2d communications":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "energy efficient power and channel allocation in underlay device to multi device communications")
  Member "designing multi user mimo for energy efficiency when is massive mimo the answer":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "optimal policies of advanced sleep modes for energy efficient 5g networks")
  Member "cognitive beamforming for multiple secondary data streams with individual snr constraints":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "general rank multiuser downlink beamforming with shaping constraints using real valued ostbc")

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)