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: "signal processing and optimal resource allocation for the interference channel"
  Abstract: Abstract   In this article, several design and complexity issues of the optimal physical layer resource allocation problem for generic interference channels are surveyed. The computational complexity, the convexity as well as the duality of the optimal resource allocation problem is discussed. Various existing algorithms for resource allocation are presented and compared. Open research problems are discussed throughout the article.

Connected through hyperedge HE-1 (induced by source paper "one bit over the air aggregation for communication efficient federated edge learning design and convergence analysis"):
  with members:
    - "machine learning at the wireless edge distributed stochastic gradient descent over the air"
    - "collaborative machine learning at the wireless edge with blind transmitters"
    - "hierarchical federated learning across heterogeneous cellular networks"
    - "federated learning over wireless fading channels"
    - "scheduling policies for federated learning in wireless networks"
    - "a joint learning and communications framework for federated learning over wireless networks"
    - "efficient decentralized deep learning by dynamic model averaging"
    - "federated learning strategies for improving communication efficiency"

Connected through hyperedge HE-2 (induced by source paper "learning to optimize training deep neural networks for interference management"):
  with members:
    - "detection algorithms for communication systems using deep learning"
    - "deep learning based mimo communications"
    - "learning to learn by gradient descent by gradient descent"
    - "learning to optimize"
    - "why deep neural networks for function approximation"
    - "recurrent neural radio anomaly detection"
    - "base station activation and linear transceiver design for optimal resource management in heterogeneous networks"
    - "deep unfolding model based inspiration of novel deep architectures"

Connected through hyperedge HE-3 (induced by source paper "an overview on resource allocation techniques for multi user mimo systems"):
  with members:
    - "low complexity downlink user selection for massive mimo systems"
    - "alternating minimization algorithms for hybrid precoding in millimeter wave mimo systems"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "user association in 5g networks a survey and an outlook"
    - "cell free massive mimo versus small cells"
    - "mu mimo mac protocols for wireless local area networks a survey"
    - "on the number of rf chains and phase shifters and scheduling design with hybrid analog digital beamforming"
    - "hybrid digital and analog beamforming design for large scale antenna arrays"

Connected through hyperedge HE-4 (induced by source paper "an optimal resource allocation with frequency reuse in cellular networks"):
  with members:
    - "multi application resource allocation with users discrimination in cellular networks"
    - "a utility proportional fairness resource allocation in spectrally radar coexistent cellular networks"

Connected through hyperedge HE-5 (induced by source paper "optimal context aware resource allocation in cellular networks"):
  with members:
    - "an optimal resource allocation with joint carrier aggregation in 4g lte"
    - "pricing data a look at past proposals current plans and future trends"

Connected through hyperedge HE-6 (induced by source paper "power control for sum rate maximization on interference channels under sum power constraint"):
  with members:
    - "performance analysis and optimization for interference alignment over mimo interference channels with limited feedback"
    - "rate region frontiers for n user interference channel with interference as noise"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-7 (induced by source paper "multicell coordinated beamforming with rate outage constraint part i complexity analysis"):
  with members:
    - "multicell coordinated beamforming with rate outage constraint part ii efficient approximation algorithms"
    - "coordinated beamforming for multiuser miso interference channel under rate outage constraints"
    - "achievable outage rate regions for the miso interference channel"
    - "pareto characterization of the multicell mimo performance region with simple receivers"
    - "outage probability and outage based robust beamforming for mimo interference channels with imperfect channel state information"
    - "achieving global optimality for weighted sum rate maximization in the k user gaussian interference channel with multiple antennas"
    - "optimality properties distributed strategies and measurement based evaluation of coordinated multicell ofdma transmission"
    - "optimal beamforming in interference networks with perfect local channel information"

Connected through hyperedge HE-8 (induced by source paper "multicell coordinated beamforming with rate outage constraint part ii efficient approximation algorithms"):
  with members:
    - "multicell coordinated beamforming with rate outage constraint part i complexity analysis"
    - "coordinated beamforming for multiuser miso interference channel under rate outage constraints"
    - "achievable outage rate regions for the miso interference channel"
    - "outage probability and outage based robust beamforming for mimo interference channels with imperfect channel state information"
    - "distributed multicell beamforming design approaching pareto boundary with max min fairness"
    - "robust monotonic optimization framework for multicell miso systems"
    - "achieving global optimality for weighted sum rate maximization in the k user gaussian interference channel with multiple antennas"
    - "optimality properties distributed strategies and measurement based evaluation of coordinated multicell ofdma transmission"

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)