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 "low complexity optimal scheduling over time correlated fading channels with arq feedback"):
  Abstract: We investigate the downlink scheduling problem under Markovian ON/OFF fading channels, where the instantaneous channel state information is not directly accessible, but is revealed via ARQ-type feedback. The scheduler can exploit the temporal correlation/channel memory inherent in the Markovian channels to improve network performance. However, designing low-complexity and throughput-optimal algorithms under temporal correlation is a challenging problem. In this paper, we find that under an average number of transmissions constraint, a low-complexity index policy is throughput-optimal. The policy uses Whittle’s index value, which was previously used to capture opportunistic scheduling under temporally correlated channels. Our results build on the interesting finding that, under the intricate queue length and channel memory evolutions, the importance of scheduling a user is captured by a simple multiplication of its queue length and Whittle’s index value. The proposed queue-based index policy has provably low complexity. Numerical results show that significant throughput gains can be realized by exploiting the channel memory using the proposed low-complexity policy.

Includes members:
  Member "green communication via power optimized harq protocols":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fast harq over finite blocklength codes a technique for low latency reliable communication")
  Member "exploiting hybrid channel information for downlink multi user mimo scheduling":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "improving dl mu mimo performance in ieee 802 11ac networks through decoupled scheduling")
  Member "multiuser scheduling in a markov modeled downlink using randomly delayed arq feedback":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sequential decision making with limited observation capability application to wireless networks")
  Member "asymptotically optimal downlink scheduling over markovian fading channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "constrained restless bandits for dynamic scheduling in cyber physical systems")
  Member "joint scheduling and resource allocation in the ofdma downlink utility maximization under imperfect channel state information":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "robust urllc packet scheduling of ofdm systems")
  Member "scheduling with rate adaptation under incomplete knowledge of channel estimator statistics":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "scheduling in time correlated wireless networks with imperfect csi and stringent constraint")
  Member "exploiting channel memory for joint estimation and scheduling in downlink networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the whittle index for restless multi armed hidden markov bandits")
  Member "optimality of myopic sensing in multi channel opportunistic access":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "thompson sampling in non episodic restless bandits")

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.NI(Networking and Internet Architecture)