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 "multiuser scheduling in a markov modeled downlink using randomly delayed arq feedback"):
  Abstract: This paper focuses on the downlink of a cellular system and studies opportunistic multiuser scheduling under imperfect channel state information, by exploiting the memory inherent in the channel. The channel between the base station and each user is modeled by a two-state Markov chain and the scheduled user sends back an ARQ feedback that arrives at the scheduler with a random delay, i.i.d. across users and time. The scheduler indirectly estimates the channel via accumulated delayed-ARQ feedback and uses this information to make scheduling decisions. The throughput maximization problem is formulated as a partially observable Markov decision process (POMDP). For the case of two users in the system, it is shown that a greedy policy is sum throughput optimal for any distribution on the ARQ feedback delay. For the case of more than two users, the greedy policy is suboptimal and numerical studies demonstrate that it has near optimal performance. Also, the greedy policy can be implemented by a simple algorithm that does not require the statistics of the underlying Markov channel or the ARQ feedback delay, thus making it robust against errors in system parameter estimation. Establishing an equivalence between the two-user system and a genie-aided system, a simple closed form expression for the sum capacity of the downlink is obtained. Further, inner and outer bounds on the capacity region of the downlink are obtained.

Includes members:
  Member "opportunistic multiuser scheduling in a three state markov modeled downlink":
    also connected through other hyperedges:
      (none)
  Member "outage probability of multiple input single output miso systems with delayed feedback":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "location based beamforming for enhancing secrecy in rician wiretap channels")
  Member "optimality of myopic sensing in multi channel opportunistic access":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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.IT(Information Theory)