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 "efficient c ran random access for iot devices learning links via recommendation systems"):
  Abstract: We focus on C-RAN random access protocols for IoT devices that yield low-latency high-rate active-device detection in dense networks of large-array remote radio heads. In this context, we study the problem of learning the strengths of links between detected devices and network sites. In particular, we develop recommendation-system inspired algorithms, which exploit random-access observations collected across the network to classify links between active devices and network sites across the network. Our simulations and analysis reveal the potential merit of data-driven schemes for such on-the-fly link classification and subsequent resource allocation across a wide-area network.

Includes members:
  Member "compressive channel estimation and multi user detection in c ran":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "compressive massive access for internet of things cloud computing or fog computing")
  Member "a novel alternative to cloud ran for throughput densification coded pilots and fast user packet scheduling at remote radio heads":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fog massive mimo a user centric seamless hot spot architecture")
  Member "user activity detection in massive random access compressed sensing vs coded slotted aloha":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "phase transition analysis for covariance based massive random access with massive mimo")
  Member "rrh based massive mimo with on the fly pilot contamination control":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "random access for massive machine type communications")
  Member "random access protocols for massive mimo":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "online estimation and adaptation for random access with successive interference cancellation")
  Member "directional training and fast sector based processing schemes for mmwave channels":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "fog massive mimo a user centric seamless hot spot architecture")
  Member "user association and interference management in massive mimo hetnets":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "user association and load balancing for massive mimo through deep learning")
  Member "optimal user cell association for massive mimo wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "reinforcement learning based vehicle cell association algorithm for highly mobile millimeter wave communication")

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)