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: "downlink non orthogonal multiple access with limited feedback"
  Abstract: In this paper, we analyze downlink non-orthogonal multiple access (NOMA) networks with limited feedback. Our goal is to derive appropriate transmission rates for rate adaptation and minimize outage probability of minimum rate for the constant-rate data service, based on distributed channel feedback information from receivers. We propose an efficient quantizer with variable-length encoding that approaches the best performance of the case where perfect channel state information is available anywhere. We prove that in the typical application with two receivers, the losses in the minimum rate and outage probability decay at least exponentially with the minimum feedback rate. We analyze the diversity gain and provide a sufficient condition for the quantizer to achieve the maximum diversity order. For NOMA with $K$ receivers where $K > 2$, we find the maximum minimum rate within an accuracy of $\epsilon$ in time complexity of $O\left(K\log\frac{1}{\epsilon}\right)$, then, we apply the previously proposed quantizers for $K = 2$ to $K > 2$. Numerical simulations are presented to demonstrate the efficiency of our proposed quantizers and the accuracy of the analytical results.

Connected through hyperedge HE-1 (induced by source paper "low resolution limited feedback noma for mmwave communications"):
  with members:
    - "noma for vlc downlink transmission with random receiver orientation"
    - "low complexity adaptive beam and channel tracking for mobile mmwave communications"
    - "low latency heterogeneous networks with millimeter wave communications"
    - "multiple antenna aided noma in uav networks a stochastic geometry approach"
    - "uplink cooperative noma for cellular connected uav"
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"
    - "design of massive mimo noma with limited feedback"

Connected through hyperedge HE-2 (induced by source paper "an analysis of two user uplink asynchronous non orthogonal multiple access systems"):
  with members:
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "asynchronous physical layer network coding symbol misalignment estimation and its effect on decoding"
    - "interference mitigation using asynchronous transmission and sampling diversity"
    - "differential distributed space time coding with imperfect synchronization in frequency selective channels"
    - "asynchronous orthogonal differential decoding for multiple access channels"
    - "asynchronous physical layer network coding"

Connected through hyperedge HE-3 (induced by source paper "non orthogonal multiple access for 5g and beyond"):
  with members:
    - "optimal user scheduling and power allocation for millimeter wave noma systems"
    - "coordinated multi point comp transmission in downlink multi cell noma systems models and spectral efficiency performance"
    - "low complexity receiver for multi level polar coded modulation in non orthogonal multiple access"
    - "massive non orthogonal multiple access for cellular iot potentials and limitations"
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "modulation and multiple access for 5g networks"
    - "robust beamforming techniques for non orthogonal multiple access systems with bounded channel uncertainties"
    - "an optimization perspective of the superiority of noma compared to conventional oma"

Connected through hyperedge HE-4 (induced by source paper "an analysis of uplink asynchronous non orthogonal multiple access systems"):
  with members:
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "interference mitigation using asynchronous transmission and sampling diversity"
    - "differential distributed space time coding with imperfect synchronization in frequency selective channels"
    - "asynchronous orthogonal differential decoding for multiple access channels"

Connected through hyperedge HE-5 (induced by source paper "on the power allocation limits for downlink multi user noma with qos"):
  with members:
    - "a fair power allocation approach to noma in multiuser siso systems"
    - "a new noma approach for fair power allocation"
    - "on the performance of non orthogonal multiple access in 5g systems with randomly deployed users"

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)