human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "low latency communications"
  Abstract: Numerous applications demand communication schemes that minimize the transmission delay while achieving a given level of reliability. An extreme case is high-frequency trading whereby saving a fraction of millisecond over a route between Chicago and New York can be a game-changer. While such communications are often carried by fiber, microwave links can reduce transmission delays over large distances due to more direct routes and faster wave propagation. In order to bridge large distances, information is sent over a multihop relay network. #R##N#Motivated by these applications, this papers present an information-theoretic approach to the design of optimal multihop microwave networks that minimizes end-to-end transmission delay. To characterize the delay introduced by coding, we derive error exponents achievable in multihop networks. We formulate and solve an optimization problem that determines optimal selection of amplify-and-forward and decode-and-forward relays. We present the optimal solution for several examples of networks. We prove that in high SNR the optimum transmission scheme is for all relays to perform amplify-and-forward. We then analyze the impact of deploying noisy feedback

Connected through hyperedge HE-1 (induced by source paper "wireless terahertz system architectures for networks beyond 5g"):
  with members:
    - "low cost cognitive radios against spectrum scarcity"
    - "terahertz technologies to deliver optical network quality of experience in wireless systems beyond 5g"
    - "hybrid beamforming for massive mimo a survey"
    - "tracking angles of departure and arrival in a mobile millimeter wave channel"
    - "millimeter wave cellular networks a mac layer perspective"
    - "spatially common sparsity based adaptive channel estimation and feedback for fdd massive mimo"
    - "efficient scheduling and power allocation for d2d assisted wireless caching networks"
    - "an overview of load balancing in hetnets old myths and open problems"

Connected through hyperedge HE-2 (induced by source paper "communication strategies for low latency trading"):
  with members:
    - "an information theoretic characterization of channels that die"

Connected through hyperedge HE-3 (induced by source paper "when can a relay reduce end to end communication delay"):
  with members:
    - "in band full duplex wireless challenges and opportunities"
    - "wireless network information flow a deterministic approach"
    - "the gaussian interference relay channel improved achievable rates and sum rate upperbounds using a potent relay"

Question: Please tell me which class the center node 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)