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 "wyner s network on caches combining receiver caching with a flexible backhaul"):
  Abstract: In this work, we study a large linear interference network with an equal number of transmitters and receivers, where each transmitter is connected to two subsequent receivers. Each transmitter has individual access to a backhaul link (fetching the equivalent of $M_{T}$ files), while each receiver can cache a fraction $\gamma$ of the library. We explore the tradeoff between the communication rate, backhaul load, and caching storage by designing algorithms that can harness the benefits of cooperative transmission in partially connected networks, while exploiting the advantages of multicast transmissions attributed to user caching. We show that receiver caching and fetching content from the backhaul are two resources that can simultaneously increase the delivery performance in synergistic ways. #R##N#Specifically, an interesting outcome of this work is that user caching of a fraction $\gamma$ of the library can increase the per-user Degrees of Freedom (puDoF) by $\gamma$. Further, the results reveal significant savings in the backhaul load, even in the small cache size region. For example, the puDoF achieved using the pair $(M_{T}=8, #R##N#\gamma=0)$ can also be achieved with the pairs $(M_{T}=4,\gamma=0.035)$ and $(M_{T}=2,\gamma=0.1)$, showing that even small caches can provide significant savings in the backhaul load.

Includes members:
  Member "resolving a feedback bottleneck of multi antenna coded caching":
    also connected through other hyperedges:
      (none)
  Member "adding transmitters dramatically boosts coded caching gains for finite file sizes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic")
  Member "generalized degrees of freedom of the symmetric cache aided miso broadcast channel with partial csit":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic")
  Member "multi antenna coded caching":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "learning to code coded caching via deep reinforcement learning")
  Member "cache aided interference management in partially connected wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "content caching and delivery in wireless radio access networks")
  Member "complete interference mitigation through receiver caching in wyner s networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "benefits of cache assignment on degraded broadcast channels")
  Member "multi server coded caching":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic")
  Member "flexible backhaul design and degrees of freedom for linear interference networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "fundamental limits of dynamic interference management with flexible message assignments")

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)