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 "edge caching in delay constrained virtualized cellular networks analysis and market"):
  Abstract: Caching of popular contents at cellular base stations, i.e., edge caching, in order to eliminate duplicate transmission through the backhaul can reduce the latency of data delivery in $5$G networks. However, since caching can only reduce the backhaul delay, techniques such as base station densification will also need to be used to reduce the fronthaul delay. In this paper, using results from stochastic geometry, we first model the effects of base station densification and cache size on the latency of the system. We then derive a tight approximation for the cache hit probability. To optimize the network cost due to the deployment of base station (BS) and cache storage, a minimization problem for the product of the BS intensity and cache size is formulated under probabilistic delay constraint, which is converted into a geometric program and solved analytically. The results are then used to analyze the economics of a cache-enabled virtualized cellular network where the network infrastructure, i.e., BSs and cache storage, owned by an infrastructure provider (InP) is shared among multiple mobile network operators (MNOs). For the pricing between the InP and the MNOs, we formulate a Stackelberg game with the InP as the leader and multiple MNOs as the followers. In this virtualized scenario, the common cost of renting the infrastructure is shared in a fair manner among the MNOs by using the Shapely value. An efficient algorithm is provided to divide the rent among MNOs.

Includes members:
  Member "inter operator infrastructure sharing trade offs and market":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on spectrum sharing among micro operators in 5g")
  Member "infrastructure sharing for mobile network operators analysis of trade offs and market":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "edge caching for cache intensity under probabilistic delay constraint")
  Member "pricing and resource allocation via game theory for a small cell video caching system":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a crowdsourcing framework for on device federated learning")
  Member "caching incentive design in wireless d2d networks a stackelberg game approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a personalized preference learning framework for caching in mobile networks")
  Member "a stackelberg game for incentive proactive caching mechanisms in wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the effective throughput of coded caching a game theoretic perspective")
  Member "virtualization of 5g cellular networks as a hierarchical combinatorial auction":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "iris deep reinforcement learning driven shared spectrum access architecture for indoor neutral host small cells")
  Member "integral approximations for coverage probability":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "edge caching for cache intensity under probabilistic delay constraint")
  Member "a tractable approach to coverage and rate in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")

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)