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 "uplink resource allocation for multiple access computational offloading"):
  Abstract: The opportunity to offload computational tasks that is provided by the mobile edge computing framework enables mobile users to broaden the range of tasks that they can execute. When multiple users with different requirements seek to offload their tasks, the available communication and computation resources need to be efficiently allocated. The nature of the computational tasks, whether they are divisible or indivisible, and the choice of the multiple access scheme employed by the system have a fundamental impact on the total energy consumption of the offloading users. In this paper, we show that using the full capabilities of the multiple access channel can significantly reduce the energy consumption, and that the required resource allocation can be efficiently computed. In particular, we provide a closed-form optimal solution of the energy minimization problem when a set of users with different latency constraints are completely offloading their computational tasks, and a tailored greedy search algorithm for a good set of users. We also consider "data-partitionable" computational tasks and develop a low-complexity iterative algorithm to find a stationary solution to the energy minimization problem in that case. In addition, we develop low-complexity optimal algorithms for the energy minimization problem under the Time Division Multiple Access (TDMA) scheme in the binary offloading and partial offloading scenarios. Our numerical experiments show that the proposed algorithms outperform existing algorithms in terms of energy consumption and computational cost.

Includes members:
  Member "resource sharing of a computing access point for multi user mobile cloud offloading with delay constraints":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "online resource procurement and allocation in a hybrid edge cloud computing system")
  Member "a survey on mobile edge computing the communication perspective":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "stochastic joint radio and computational resource management for multi user mobile edge computing systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi agent meta reinforcement learning for self powered and sustainable edge computing systems")
  Member "mobile edge computing a survey on architecture and computation offloading":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fog computing systems state of the art research issues and future trends")
  Member "joint offloading and computing optimization in wireless powered mobile edge computing systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "energy efficient federated edge learning with joint communication and computation design")
  Member "multi antenna noma for computation offloading in multiuser mobile edge computing systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "energy efficient federated edge learning with joint communication and computation design")
  Member "energy efficient resource allocation for mobile edge computation offloading":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "energy efficient federated edge learning with joint communication and computation design")
  Member "joint optimization of radio and computational resources for multicell mobile edge computing":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "analysis on computation intensive status update in mobile edge 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.IT(Information Theory)