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 "mobile edge computing enabled heterogeneous networks"):
  Abstract: The mobile edge computing (MEC) has been introduced for providing computing capabilities at the edge of networks to improve the latency performance of wireless networks. In this paper, we provide the novel framework for MEC-enabled heterogeneous networks (HetNets) , composed of the multi-tier networks with access points (APs) (i.e., MEC servers), which have different transmission power and different computing capabilities. In this framework, we also consider multiple-type mobile users with different sizes of computation tasks, and they offload the tasks to a MEC server, and receive the computation resulting data from the server. We derive the successful edge computing probability considering both the computation and communication performance using the queueing theory and stochastic geometry. We then analyze the effects of network parameters and bias factors in MEC server association on the successful edge computing probability. We provide how the optimal bias factors in terms of successful edge computing probability can be changed according to the user type and MEC tier, and how they are different to the conventional ones that did not consider the computing capabilities and task sizes. It is also shown how the optimal bias factors can be changed when minimizing the mean latency instead of successful edge computing probability. This study provides the design insights for the optimal configuration of MEC-enabled HetNets.

Includes members:
  Member "sir coverage analysis in cellular networks with temporal traffic a stochastic geometry approach":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "delay analysis of random scheduling and round robin in small cell networks")
  Member "multiuser computation offloading and downloading for edge computing with virtualization":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal energy allocation and task offloading policy for wireless powered mobile edge computing systems")
  Member "a survey on mobile edge computing the communication perspective":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "wireless networks for mobile edge computing spatial modeling and latency analysis extended version":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "survey on multi access edge computing for internet of things realization")
  Member "mobile edge computing a survey on architecture and computation offloading":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "fog computing systems state of the art research issues and future trends")
  Member "latency and reliability aware task offloading and resource allocation for mobile edge computing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimized age of information tail for ultra reliable low latency communications in vehicular networks")
  Member "joint offloading and computing optimization in wireless powered mobile edge computing systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "energy efficient federated edge learning with joint communication and computation design")
  Member "heterogeneous cellular networks with los and nlos transmissions the role of massive mimo and small cells":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "what is the optimal network deployment for a fixed density of antennas")

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)