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: "delay limited source and channel coding of quasi stationary sources over block fading channels design and scaling laws"
  Abstract: In this paper, delay-limited transmission of quasi-stationary sources over block fading channels are considered. Considering distortion outage probability as the performance measure, two source and channel coding schemes with power adaptive transmission are presented. The first one is optimized for fixed rate transmission, and hence enjoys simplicity of implementation. The second one is a high performance scheme, which also benefits from optimized rate adaptation with respect to source and channel states. In high SNR regime, the performance scaling laws in terms of outage distortion exponent and asymptotic outage distortion gain are derived, where two schemes with fixed transmission power and adaptive or optimized fixed rates are considered as benchmarks for comparisons. Various analytical and numerical results are provided which demonstrate a superior performance for source and channel optimized rate and power adaptive scheme. It is also observed that from a distortion outage perspective, the fixed rate adaptive power scheme substantially outperforms an adaptive rate fixed power scheme for delay-limited transmission of quasi-stationary sources over wireless block fading channels. The effect of the characteristics of the quasi-stationary source on performance, and the implication of the results for transmission of stationary sources are also investigated.

Connected through hyperedge HE-1 (induced by source paper "distributed sensing with orthogonal multiple access to code or not to code"):
  with members:
    - "wireless power transfer for distributed estimation in sensor networks"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "optimized sensor collaboration for estimation of temporally correlated parameters"
    - "estimation diversity and energy efficiency in distributed sensing"

Connected through hyperedge HE-2 (induced by source paper "energy harvesting powered sensing in iot timeliness versus distortion"):
  with members:
    - "distributed sensing with orthogonal multiple access to code or not to code"
    - "timely updates in energy harvesting two hop networks offline and online policies"
    - "scheduling status updates to minimize age of information with an energy harvesting sensor"
    - "optimal status update for age of information minimization with an energy harvesting source"
    - "optimal power control for transmitting correlated sources with energy harvesting constraints"
    - "uplink age of information of unilaterally powered two way data exchanging systems"
    - "energy harvesting wireless communications a review of recent advances"

Connected through hyperedge HE-3 (induced by source paper "delay distortion power trade offs in quasi stationary source transmission over block fading channels"):
  with members:
    - "on the distortion snr exponent of some layered transmission schemes"
    - "joint source channel codes for mimo block fading channels"

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)