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 resource allocation for mobile edge computing based augmented reality applications"):
  Abstract: Mobile edge computing is a provisioning solution to enable Augmented Reality (AR) applications on mobile devices. AR mobile applications have inherent collaborative properties in terms of data collection in the uplink, computing at the edge, and data delivery in the downlink. In this letter, these features are leveraged to propose a novel resource allocation approach over both communication and computation resources. The approach, implemented via Successive Convex Approximation (SCA), is seen to yield considerable gains in mobile energy consumption as compared to conventional independent offloading across users.

Includes members:
  Member "parallel and distributed methods for nonconvex optimization part ii applications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimization of massive full dimensional mimo for positioning and communication")
  Member "query processing for the internet of things coupling of device energy consumption and cloud infrastructure billing":
    also connected through other hyperedges:
      (none)
  Member "joint uplink downlink optimization for backhaul limited mobile cloud computing with user scheduling":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "device vs edge computing for mobile services delay aware decision making to minimize power consumption")
  Member "joint optimization of radio and computational resources for multicell mobile edge computing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "analysis on computation intensive status update in mobile edge computing")
  Member "parallel and distributed methods for nonconvex optimization part i theory":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimized video streaming over cloud a stall quality trade off")

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.NI(Networking and Internet Architecture)