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: "statistical qos analysis of full duplex and half duplex heterogeneous cellular networks"
  Abstract: In this paper, statistical Quality of Service provisioning in next generation heterogeneous mobile cellular networks is investigated. To this aim, any active entity of the cellular network is regarded as a queuing system, whose statistical QoS requirements depend on the specific application. In this context, by quantifying the performance in terms of effective capacity, we introduce a lower bound for the system performance that facilitates an efficient analysis. We exploit this analytical framework to give insights about the possible improvement of the statistical QoS experienced by the users if the current heterogeneous cellular network architecture migrates from a Half Duplex to a Full Duplex mode of operation. Numerical results and analysis are provided, where the network is modeled as a Mat\'ern point processes with a hard core distance. The results demonstrate the accuracy and computational efficiency of the proposed scheme, especially in large scale wireless systems.

Connected through hyperedge HE-1 (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"
    - "effective capacity of retransmission schemes a recurrence relation approach"
    - "backlog and delay reasoning in harq systems"
    - "delay constrained video transmission quality driven resource allocation and scheduling"

Connected through hyperedge HE-2 (induced by source paper "analysis of statistical qos in half duplex and full duplex dense heterogeneous cellular networks"):
  with members:
    - "rcfd a novel channel access scheme for full duplex wireless networks based on contention in time and frequency domains"
    - "the ginibre point process as a model for wireless networks with repulsion"
    - "what will 5g be"
    - "in band full duplex wireless challenges and opportunities"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "experiment driven characterization of full duplex wireless systems"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "quality driven resource allocation for full duplex delay constrained wireless video transmissions"):
  with members:
    - "delay constrained video transmission quality driven resource allocation and scheduling"
    - "rate adaptation and admission control for video transmission with subjective quality constraints"

Connected through hyperedge HE-4 (induced by source paper "massive mimo enabled full duplex cellular networks"):
  with members:
    - "self interference in full duplex multi user mimo channels"
    - "secrecy and energy efficiency in massive mimo aided heterogeneous c ran a new look at interference"
    - "large antenna analysis of multi cell full duplex networks"
    - "directional antennas for interference management in full duplex cellular networks"
    - "full duplex cloud ran with uplink downlink remote radio head association"
    - "full duplex cellular networks it works"
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"
    - "throughput analysis and optimization of wireless powered multiple antenna full duplex relay systems"

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)