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 "analysis of wireless communications with finite blocklength and imperfect channel knowledge"):
  Abstract: With the rise of critical machine-to-machine (M2M) applications, next generation wireless communication systems must be designed with strict constraints on the latency and the reliability. A key enabler for designing low-latency systems is the availability of accurate and tractable analytic models. Unfortunately, many performance models do not account for the effects of channel coding at finite blocklength and imperfect channel state information (CSI) due to time-limited channel training. These models are therefore inaccurate for low-latency systems. In this work, we derive a closed-form approximation for the transmission error probability while considering both of these effects. The approximation provides an inverse mapping from the error probability to the achievable rate. Using this approximation, we analyze the queuing delay of the system through stochastic network calculus. Our results show that even though systems with rate adaptation must spend resources on channel training, these systems perform better than systems operating at fixed rate. The enhancement becomes even greater under stricter delay constraints. Moreover, we find that adapting both the training sequence length and the code rate to the delay constraints is crucial for achieving high reliability.

Includes members:
  Member "on the delay performance of interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "delay violation probability and age of information interplay in the two user multiple access channel")
  Member "coding versus arq in fading channels how reliable should the phy be":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "short packet transmission via variable length codes in the presence of noisy stop feedback")
  Member "multiuser mimo achievable rates with downlink training and channel state feedback":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "beyond dirty paper coding for multi antenna broadcast channel with partial csit a rate splitting approach")

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)