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: "performance of joint spectrum sensing and mac algorithms for multichannel opportunistic spectrum access ad hoc networks"
  Abstract: We present an analytical framework to assess the link layer throughput of multichannel Opportunistic Spectrum Access (OSA) ad hoc networks. Specifically, we focus on analyzing various combinations of collaborative spectrum sensing and Medium Access Control (MAC) protocol abstractions. We decompose collaborative spectrum sensing into layers, parametrize each layer, classify existing solutions, and propose a new protocol called Truncated Time Division Multiple Access (TTDMA) that supports efficient distribution of sensing results in “K out of N” fusion rule. In case of multichannel MAC protocols, we evaluate two main approaches of control channel design with 1) dedicated and 2) hopping channel. We propose to augment these protocols with options of handling secondary user (SU) connections preempted by primary user (PU) by 1) connection buffering until PU departure and 2) connection switching to a vacant PU channel. By comparing and optimizing different design combinations, we show that 1) it is generally better to buffer preempted SU connections than to switch them to PU vacant channels and 2) TTDMA is a promising design option for collaborative spectrum sensing process when K does not change over time.

Connected through hyperedge HE-1 (induced by source paper "multi channel mac protocol for full duplex cognitive radio networks with optimized access control and load balancing"):
  with members:
    - "channel assignment with access contention resolution for cognitive radio networks"
    - "experiment driven characterization of full duplex wireless systems"
    - "distributed mac protocol for cognitive radio networks design analysis and optimization"

Connected through hyperedge HE-2 (induced by source paper "joint cooperative spectrum sensing and mac protocol design for multi channel cognitive radio networks"):
  with members:
    - "channel assignment with access contention resolution for cognitive radio networks"
    - "distributed mac protocol for cognitive radio networks design analysis and optimization"

Connected through hyperedge HE-3 (induced by source paper "delay analysis of multichannel opportunistic spectrum access mac protocols"):
  with members:
    - "priority queueing models for cognitive radio networks with traffic differentiation"

Connected through hyperedge HE-4 (induced by source paper "general analytical framework for cooperative sensing and access trade off optimization"):
  with members:
    - "channel assignment with access contention resolution for cognitive radio networks"
    - "distributed mac protocol for cognitive radio networks design analysis and optimization"

Connected through hyperedge HE-5 (induced by source paper "primary user traffic estimation for dynamic spectrum access"):
  with members:
    - "a cooperative bayesian nonparametric framework for primary user activity monitoring in cognitive radio networks"
    - "exploiting channel correlation and pu traffic memory for opportunistic spectrum scheduling"
    - "throughput and collision analysis of multichannel multistage spectrum sensing algorithms"
    - "sensitive white space detection with spectral covariance sensing"

Connected through hyperedge HE-6 (induced by source paper "distributed multiuser sequential channel sensing schemes in multichannel cognitive radio networks"):
  with members:
    - "sensing matrix setting schemes for cognitive networks and their performance analysis"
    - "throughput and collision analysis of multichannel multistage spectrum sensing algorithms"
    - "optimal medium access control in cognitive radios a sequential design approach"
    - "cognitive medium access exploration exploitation and competition"

Connected through hyperedge HE-7 (induced by source paper "when channel bonding is beneficial for opportunistic spectrum access networks"):
  with members:
    - "primary user traffic estimation for dynamic spectrum access"
    - "analysis framework for opportunistic spectrum ofdma and its application to the ieee 802 22 standard"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

Connected through hyperedge HE-8 (induced by source paper "priority queueing models for cognitive radio networks with traffic differentiation"):
  with members:
    - "delay analysis of multichannel opportunistic spectrum access mac protocols"
    - "primary user traffic estimation for dynamic spectrum access"
    - "cognitive medium access exploration exploitation and competition"

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)