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: "effective capacity of delay constrained cognitive radio links exploiting primary feedback"
  Abstract: In this paper, we analyze the performance of a secondary link in a cognitive radio (CR) system operating under statistical quality of service (QoS) delay constraints. In particular, we quantify analytically the performance improvement for the secondary user (SU) when applying a feedback based sensing scheme under the "SINR Interference" model. We leverage the concept of effective capacity (EC) introduced earlier in the literature to quantify the wireless link performance under delay constraints, in an attempt to opportunistically support real-time applications. Towards this objective, we study a two-link network, a single secondary link and a primary network abstracted to a single primary link, with and without primary feedback exploitation. We analytically prove that exploiting primary feedback at the secondary transmitter improves the EC of the secondary user and decreases the secondary user average transmitted power. Finally, we present numerical results that support our analytical results.

Connected through hyperedge HE-1 (induced by source paper "on the effective capacity of an underwater acoustic channel under impersonation attack"):
  with members:
    - "impersonation detection in line of sight underwater acoustic sensor networks"
    - "physical layer authentication in mission critical mtc networks a security and delay performance analysis"
    - "channel impulse response based distributed physical layer authentication"
    - "energy efficiency optimization for mimo ofdm mobile multimedia communication systems with qos constraints"
    - "effective capacity of two hop wireless communication systems"
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"
    - "using the physical layer for wireless authentication in time variant channels"

Connected through hyperedge HE-2 (induced by source paper "effective capacity in wireless networks a comprehensive survey"):
  with members:
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "performance analysis of noma for ultra reliable and low latency communications"
    - "wireless access for ultra reliable low latency communication urllc principles and building blocks"
    - "secure transmission of delay sensitive data over wireless fading channels"
    - "energy efficient ofdma networks maintaining statistical qos guarantees for delay sensitive traffic"
    - "statistical qos analysis of full duplex and half duplex heterogeneous cellular networks"
    - "effective capacity of retransmission schemes a recurrence relation approach"
    - "backlog and delay reasoning in harq systems"

Connected through hyperedge HE-3 (induced by source paper "effective capacity for renewal service processes with applications to harq systems"):
  with members:
    - "effective capacity in wireless networks a comprehensive survey"
    - "asymptotic outage analysis of harq ir over time correlated nakagami m fading channels"
    - "adaptive cross packet harq"
    - "effective capacity of retransmission schemes a recurrence relation approach"
    - "energy efficiency of hybrid arq under statistical queuing constraints"
    - "ultra reliable communication in 5g wireless systems"

Connected through hyperedge HE-4 (induced by source paper "cognitive radio networks with probabilistic relaying stable throughput and delay tradeoffs"):
  with members:
    - "cooperative access in cognitive radio networks stable throughput and delay tradeoffs"
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"

Connected through hyperedge HE-5 (induced by source paper "effective capacity of cognitive radio links accessing primary feedback erroneously"):
  with members:
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"

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)