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: "joint design and separation principle for opportunistic spectrum access in the presence of sensing errors"
  Abstract: Opportunistic spectrum access (OSA) that allows secondary users to independently search for and exploit instantaneous spectrum availability is considered. The design objective is to maximize the throughput of a secondary user while limiting the probability of colliding with primary users. Integrated in the joint design are three basic components: a spectrum sensor that identifies spectrum opportunities, a sensing strategy that determines which channels in the spectrum to sense, and an access strategy that decides whether to access based on potentially erroneous sensing outcomes. This joint design is formulated as a constrained partially observable Markov decision process (POMDP), and a separation principle is established. The separation principle reveals the optimality of myopic policies for the design of the spectrum sensor and the access strategy, leading to closed-form optimal solutions. Furthermore, it decouples the design of the sensing strategy from that of the spectrum sensor and the access strategy, and reduces the constrained POMDP to an unconstrained one. Numerical examples are provided to study the tradeoff between sensing time and transmission time, the interaction between the physical layer spectrum sensor and the MAC layer sensing and access strategies, and the robustness of the ensuing design to model mismatch.

Connected through hyperedge HE-1 (induced by source paper "cost aware learning and optimization for opportunistic spectrum access"):
  with members:
    - "an online approach to dynamic channel access and transmission scheduling"
    - "cascading bandits learning to rank in the cascade model"
    - "further optimal regret bounds for thompson sampling"
    - "analysis of thompson sampling for the multi armed bandit problem"
    - "multi channel opportunistic access a case of restless bandits with multiple plays"
    - "optimality of myopic sensing in multi channel opportunistic access"
    - "on myopic sensing for multi channel opportunistic access structure optimality and performance"
    - "cognitive medium access exploration exploitation and competition"

Connected through hyperedge HE-2 (induced by source paper "reinforcement learning with budget constrained nonparametric function approximation for opportunistic spectrum access"):
  with members:
    - "the limitations of deep learning in adversarial settings"
    - "deep neural networks are easily fooled high confidence predictions for unrecognizable images"
    - "on myopic sensing for multi channel opportunistic access structure optimality and performance"

Connected through hyperedge HE-3 (induced by source paper "on the whittle index for restless multi armed hidden markov bandits"):
  with members:
    - "whittle index policy for crawling ephemeral content"
    - "congestion control of tcp flows in internet routers by means of index policy"
    - "on optimality of myopic sensing policy with imperfect sensing in multi channel opportunistic access"
    - "asymptotically optimal downlink scheduling over markovian fading channels"
    - "exploiting channel memory for joint estimation and scheduling in downlink networks"
    - "on myopic sensing for multi channel opportunistic access structure optimality and performance"

Connected through hyperedge HE-4 (induced by source paper "reinforcement learning based transmission strategy of cognitive user in ieee 802 11 based networks"):
  with members:
    - "cognitive interference management in retransmission based wireless networks"

Connected through hyperedge HE-5 (induced by source paper "sequential joint spectrum sensing and channel estimation for dynamic spectrum access"):
  with members:
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"
    - "on peak versus average interference power constraints for protecting primary users in cognitive radio networks"

Connected through hyperedge HE-6 (induced by source paper "on the throughput and energy efficiency of cognitive mimo transmissions"):
  with members:
    - "cognitive radio transmission under qos constraints and interference limitations"
    - "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"

Connected through hyperedge HE-7 (induced by source paper "asymptotic scheduling gains in point to multipoint cognitive networks"):
  with members:
    - "rate of channel hardening of antenna selection diversity schemes and its implication on scheduling"
    - "cognitive medium access exploration exploitation and competition"
    - "on the capacity of interference channels with one cooperating transmitter"
    - "interference channels with common information"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-8 (induced by source paper "on design of opportunistic spectrum access in the presence of reactive primary users"):
  with members:
    - "cognitive interference management in retransmission based wireless networks"
    - "on active learning and supervised transmission of spectrum sharing based cognitive radios by exploiting hidden primary radio feedback"
    - "on myopic sensing for multi channel opportunistic access structure optimality and performance"
    - "algorithms for dynamic spectrum access with learning for cognitive radio"

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.NI(Networking and Internet Architecture)