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 optimization for backhaul limited mobile cloud computing with user scheduling"):
  Abstract: Mobile cloud computing enables the offloading of computationally heavy applications, such as for gaming, object recognition or video processing, from mobile users (MUs) to cloudlet or cloud servers, which are connected to wireless access points, either directly or through finite-capacity backhaul links. In this paper, the design of a mobile cloud computing system is investigated by proposing the joint optimization of computing and communication resources with the aim of minimizing the energy required for offloading across all MUs under latency constraints at the application layer. The proposed design accounts for multiantenna uplink and downlink interfering transmissions, with or without cooperation on the downlink, along with the allocation of backhaul and computational resources and user selection. The resulting design optimization problems are nonconvex, and stationary solutions are computed by means of successive convex approximation (SCA) techniques. Numerical results illustrate the advantages in terms of energy-latency trade-off of the joint optimization of computing and communication resources, as well as the impact of system parameters, such as backhaul capacity, and of the network architecture.

Includes members:
  Member "joint subcarrier and cpu time allocation for mobile edge computing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "client selection for federated learning with heterogeneous resources in mobile edge")
  Member "parallel and distributed methods for nonconvex optimization part ii applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimization of massive full dimensional mimo for positioning and communication")
  Member "energy efficient resource allocation for mobile edge computation offloading":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "energy efficient federated edge learning with joint communication and computation design")
  Member "decentralized computation offloading game for mobile cloud computing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "context aware distribution of fog applications using deep reinforcement learning")
  Member "a cooperative scheduling scheme of local cloud and internet cloud for delay aware mobile cloud computing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "edge and central cloud computing a perfect pairing for high energy efficiency and low latency")
  Member "joint optimization of radio and computational resources for multicell mobile edge computing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "analysis on computation intensive status update in mobile edge computing")
  Member "inter layer per mobile optimization of cloud mobile computing a message passing approach":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "security modeling and efficient computation offloading for service workflow in mobile edge computing")
  Member "energy efficient mobile cloud computing powered by wireless energy transfer":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "mobile communications computing and caching resources optimization for coded caching with device computing")

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)