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: "mimo wireless communications under statistical queueing constraints"
  Abstract: The performance of multiple-input multiple-output wireless systems is investigated in the presence of statistical queueing constraints. Queuing constraints are imposed as limitations on buffer violation probabilities. The performance under such constraints is captured through the effective capacity formulation. A detailed analysis of the effective capacity is carried out in the low-power, wideband, and high--signal-to-noise ratio (SNR) regimes. In the low-power analysis, expressions for the first and second derivatives of the effective capacity with respect to SNR at SNR= 0 are obtained under various assumptions on the degree of channel state information at the transmitter. Transmission strategies that are optimal in the sense of achieving the first and second derivatives are identified. It is shown that while the first derivative does not get affected by the presence of queueing constraints, the second derivative gets smaller as the constraints become more stringent. Through the energy efficiency analysis, this is shown to imply that the minimum bit energy requirements do not change with more strict limitations but the wideband slope diminishes. Similar results are obtained in the wideband regime if rich multipath fading is being experienced. On the other hand, sparse multipath fading with bounded number of degrees of freedom is shown to increase the minimum bit energy requirements in the presence of queueing constraints. Following the low-SNR study, the impact of buffer limitations on the high-SNR performance is quantified by analyzing the high-SNR slope and the power offset in Rayleigh fading channels. Finally, numerical results are provided to illustrate the theoretical findings.

Connected through hyperedge HE-1 (induced by source paper "delay performance of the multiuser miso downlink under imperfect csi and finite length coding"):
  with members:
    - "delay performance of multi antenna multicasting in wireless networks"
    - "delay performance of the multiuser miso downlink"
    - "delay performance of miso wireless communications"
    - "analysis of wireless communications with finite blocklength and imperfect channel knowledge"
    - "the dispersion of nearest neighbor decoding for additive non gaussian channels"
    - "optimal design of energy efficient multi user mimo systems is massive mimo the answer"
    - "effects of channel aging in massive mimo systems"
    - "multi user diversity vs accurate channel state information in mimo downlink channels"

Connected through hyperedge HE-2 (induced by source paper "delay performance of the multiuser miso downlink"):
  with members:
    - "delay performance of wireless communications with imperfect csi and finite length coding"
    - "analysis of wireless communications with finite blocklength and imperfect channel knowledge"
    - "multi user diversity vs accurate channel state information in mimo downlink channels"
    - "multi mode transmission for the mimo broadcast channel with imperfect channel state information"

Connected through hyperedge HE-3 (induced by source paper "on the asymptotic throughput of the k th best secondary user selection in cognitive radio systems"):
  with members:
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"

Connected through hyperedge HE-4 (induced by source paper "delay performance of miso wireless communications"):
  with members:
    - "unified framework for the effective rate analysis of wireless communication systems over miso fading channels"
    - "analysis of wireless communications with finite blocklength and imperfect channel knowledge"
    - "on the delay performance of interference channels"
    - "large deviation delay analysis of queue aware multi user mimo systems with two timescale mobile driven feedback"
    - "delay constrained throughput analysis of a correlated mimo wireless channel"
    - "on the flow level delay of a spatial multiplexing mimo wireless channel"
    - "information spectrum approach to second order coding rate in channel coding"
    - "high snr analysis of outage limited communications with bursty and delay limited information"

Connected through hyperedge HE-5 (induced by source paper "effective capacity in mimo channels with arbitrary inputs"):
  with members:
    - "the world s first real time testbed for massive mimo design implementation and validation"
    - "backlog and delay reasoning in harq systems"
    - "linear precoding for the mimo multiple access channel with finite alphabet inputs and statistical csi"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"
    - "massive mimo for next generation wireless systems"
    - "what will 5g be"
    - "linear mimo precoding in jointly correlated fading multiple access channels with finite alphabet signaling"
    - "on the impact of hardware impairments on massive mimo"

Connected through hyperedge HE-6 (induced by source paper "unified framework for the effective rate analysis of wireless communication systems over miso fading channels"):
  with members:
    - "on the multivariate gamma gamma distribution with arbitrary correlation and applications in wireless communications"
    - "effective rate analysis of miso systems over alpha mu fading channels"
    - "a novel unified expression for the capacity and bit error probability of wireless communication systems over generalized fading channels"
    - "effective capacity of two hop wireless communication systems"
    - "a unified mgf based capacity analysis of diversity combiners over generalized fading channels"
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"

Connected through hyperedge HE-7 (induced by source paper "effective capacity in broadcast channels with arbitrary inputs"):
  with members:
    - "effective capacity in multiple access channels with arbitrary inputs"
    - "on the throughput and energy efficiency of cognitive mimo transmissions"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-8 (induced by source paper "effective capacity in multiple access channels with arbitrary inputs"):
  with members:
    - "on the throughput and energy efficiency of cognitive mimo transmissions"
    - "transmission strategies in multiple access fading channels with statistical qos constraints"
    - "mutual information and minimum mean square error in gaussian 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)