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 "cloud radio access networks with coded caching"):
  Abstract: A cloud radio access network (C-RAN) is considered as a candidate to meet the expectations of higher data rate de- mands in wireless networks. In C-RAN, low energy base stations (BSs) are deployed over a small geography and are allowed to connect to the cloud via finite capacity backhaul links where the information is processed. A conventional C-RAN, however, requires high capacity backhaul links, since the requested files need to be transferred first from the cloud to the BS before conveying them to the users. One approach to overcome the limitations of the backhaul links is to introduce local storage caches at the BSs, in which the popular files are stored locally in order to reduce the load of the backhaul links. Furthermore, we utilize coded caching with the goal to minimize the total network cost, i.e., the transmit power and the cost associated with the backhaul links. The initial formulation of the optimization problem for this model is non-convex. We first reformulate and then convexify the problem through some relaxation techniques. In comparison to the uncoded caching at the BSs, our results highlight the benefits associated with coded caching and show that it decreases the backhaul cost.

Includes members:
  Member "content centric multicast beamforming in cache enabled cloud radio access networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "caching placement in stochastic wireless caching helper networks channel selection diversity via caching")
  Member "cache enabled opportunistic cooperative mimo for video streaming in wireless systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint optimization of file placement and delivery in cache assisted wireless networks with limited lifetime and cache space")
  Member "group sparse beamforming for green cloud ran":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sparse optimization for green edge ai inference")
  Member "mixed timescale precoding and cache control in cached mimo interference network":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "joint downlink scheduling for file placement and delivery in cache assisted wireless networks with finite file lifetime")
  Member "base station assisted device to device communications for high throughput wireless video networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "degrees of freedom of cache aided wireless cellular networks")
  Member "fundamental limits of 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 "femtocaching and device to device collaboration a new architecture for wireless video distribution":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "caching at base stations with multi cluster multicast wireless backhaul via accelerated first order algorithm")

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)