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: "cognitive radio transmission under qos constraints and interference limitations"
  Abstract: In this paper, the performance of cognitive transmission under quality of service (QoS)constraints and interference limitations is studied. Cognitive secondary users are assumed to initially perform sensing over multiple frequency bands (or equivalently channels) to detect the activities of primary users. Subsequently, they perform transmission in a single channel at variable power and rates depending on the channel sensing decisions and the fading environment. A state transition model is constructed to model this cognitive operation. Statistical limitations on the buffer lengths are imposed to take into account the QoS constraints of the cognitive secondary users. Under such QoS constraints and limitations on the interference caused to the primary users, the maximum throughput is identified by finding the effective capacity of the cognitive radio channel. Optimal power allocation strategies are obtained and the optimal channel selection criterion is identified. The intricate interplay between effective capacity, interference and QoS constraints, channel sensing parameters and reliability, fading, and the number of available frequency bands is investigated through numerical results.

Connected through hyperedge HE-1 (induced by source paper "on the energy and data storage management in energy harvesting wireless communications"):
  with members:
    - "robust design of ac computing enabled receiver architecture for swipt networks"
    - "optimal policies for wireless networks with energy harvesting transmitters and receivers effects of decoding costs"
    - "energy harvesting wireless communications a review of recent advances"
    - "delay optimal scheduling for energy harvesting based communications"
    - "optimal scheduling for energy harvesting transmitters with hybrid energy storage"
    - "capacity of fading gaussian channel with an energy harvesting sensor node"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"
    - "a general framework for the optimization of energy harvesting communication systems with battery imperfections"

Connected through hyperedge HE-2 (induced by source paper "on the throughput and energy efficiency of cognitive mimo transmissions"):
  with members:
    - "performance analysis of cognitive radio systems under qos constraints and channel uncertainty"
    - "optimal spectrum sharing in mimo cognitive radio networks via semidefinite programming"
    - "from spectrum pooling to space pooling opportunistic interference alignment in mimo cognitive networks"
    - "mimo wireless communications under statistical queueing constraints"
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"
    - "design of learning based mimo cognitive radio systems"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "cognitive mimo radio"

Connected through hyperedge HE-3 (induced by source paper "performance analysis of cognitive radio systems under qos constraints and channel uncertainty"):
  with members:
    - "ergodic capacity analysis in cognitive radio systems under channel uncertainty"
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"
    - "on the capacity and energy efficiency of training based transmissions over 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)