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 "individual preference aware caching policy design in wireless d2d networks"):
  Abstract: Cache-aided wireless device-to-device (D2D) networks allow significant throughput increase, depending on the concentration of the popularity distribution of files. While many previous investigations assumed that all users have the same preference, this may not be true in practice. This work investigates whether and how the information about individual preferences can benefit such cache-aided D2D networks. Considering a clustered network, we derive a network utility that considers both the user distribution and channel fading effects, and formulate a utility optimization problem. This formulation can be used to optimize several important quantities, including throughput, energy efficiency (EE), and hit-rate, and solve different tradeoff problems. We provide designs of caching policies that solve the utility maximization problem with and without coordination between the devices, and prove that the coordinated design can obtain the stationary point under a mild assumption. Using simulations of practical setups, we show that by properly exploiting the diversity entailed by the individual preferences, performance can be improved significantly. Besides, different types of tradeoffs exist between different performance metrics, and they can be managed by means of proper caching policy and cooperation distance design.

Includes members:
  Member "throughput outage analysis and evaluation of cache aided d2d networks with measured popularity distributions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "performance of caching based d2d video distribution with measured popularity distributions")
  Member "modeling and performance analysis of full duplex communications in cache enabled d2d networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "throughput outage analysis and evaluation of cache aided d2d networks with measured popularity distributions")
  Member "learning based delay aware caching in wireless d2d caching networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "deep multi agent reinforcement learning based cooperative edge caching in wireless networks")
  Member "caching policy optimization for d2d communications by learning user preference":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "caching at base stations with heterogeneous user demands and spatial locality")
  Member "high throughput opportunistic cooperative device to device communications with caching":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "crowd mecs a novel crowdsourcing framework for mobile edge caching and sharing")
  Member "cache enabled device to device communications offloading gain and energy cost":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "throughput outage analysis and evaluation of cache aided d2d networks with measured popularity distributions")
  Member "on consideration of content preference and sharing willingness in d2d assisted offloading":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "coalitional game framework for content distribution using device to device communication")
  Member "optimizing content caching to maximize the density of successful receptions in device to device networking":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "throughput outage analysis and evaluation of cache aided d2d networks with measured popularity distributions")

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)