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 "redesigning fronthaul for next generation networks beyond baseband samples and point to point links"):
  Abstract: The fronthaul is an indispensable enabler for 5G networks. However, the classical fronthauling method demands large bandwidth, low latency, and tight synchronization from the transport network, and only allows for point-to-point logical topology. This greatly limits the usage of fronthaul in many 5G scenarios. In this article, we introduce a new perspective to understand and design fronthaul for next-generation wireless access. We allow the renovated fronthaul to transport information other than time-domain I/Q samples and to support logical topologies beyond point-to-point links. In this way, different function splitting schemes can be incorporated into the radio access network to satisfy the bandwidth and latency requirements of ultradense networks, control/data decoupling architectures, and delay-sensitive communications. At the same time, massive cooperation and devicecentric networking could be effectively enabled with point-to-multipoint fronthaul transportation. We analyze three unique design requirements for the renovated fronthaul, including the ability to handle various payload traffic, support different logical topology, and provide differentiated latency guarantee. Following this analysis, we propose a reference architecture for designing the renovated fronthaul. The required functionalities are categorized into four logical layers and realized using novel technologies such as decoupled synchronization layer, packet switching, and session-based control. We also discuss some important future research issues.

Includes members:
  Member "graph based framework for flexible baseband function splitting and placement in c ran":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "software defined hyper cellular architecture for green and elastic wireless access")
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "five disruptive technology directions for 5g":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "deep learning enabled optimization of downlink beamforming under per antenna power constraints algorithms and experimental demonstration")

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)