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: "on the benefits of edge caching for mimo interference alignment"
  Abstract: In this contribution, we jointly investigate the benefits of caching and interference alignment (IA) in multiple-input multiple-output (MIMO) interference channel under limited backhaul capacity. In particular, total average transmission rate is derived as a function of various system parameters such as backhaul link capacity, cache size, number of active transmitter-receiver pairs as well as the quantization bits for channel state information (CSI). Given the fact that base stations are equipped both with caching and IA capabilities and have knowledge of content popularity profile, we then characterize an operational regime where the caching is beneficial. Subsequently, we find the optimal number of transmitter-receiver pairs that maximizes the total average transmission rate. When the popularity profile of requested contents falls into the operational regime, it turns out that caching substantially improves the throughput as it mitigates the backhaul usage and allows IA methods to take benefit of such limited backhaul.

Connected through hyperedge HE-1 (induced by source paper "application of machine learning in wireless networks key techniques and open issues"):
  with members:
    - "interference management for cellular connected uavs a deep reinforcement learning approach"
    - "learning to optimize training deep neural networks for interference management"
    - "deep reinforcement learning for resource management in network slicing"
    - "optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning"
    - "deep learning for radio resource allocation in multi cell networks"
    - "multi tenant cross slice resource orchestration a deep reinforcement learning approach"
    - "deep reinforcement learning based mode selection and resource management for green fog radio access networks"
    - "deep learning in mobile and wireless networking a survey"

Connected through hyperedge HE-2 (induced by source paper "energy efficiency in cache enabled small cell networks with adaptive user clustering"):
  with members:
    - "caching in the sky proactive deployment of cache enabled unmanned aerial vehicles for optimized quality of experience"
    - "cluster content caching an energy efficient approach to improve quality of service in cloud radio access networks"
    - "caching improvement using adaptive user clustering"
    - "energy efficiency of downlink networks with caching at base stations"
    - "greendelivery proactive content caching and push with energy harvesting based small cells"
    - "optimal geographic caching in cellular networks"
    - "caching at the edge a green perspective for 5g networks"
    - "modeling and analysis of content caching in wireless small cell networks"

Connected through hyperedge HE-3 (induced by source paper "feedback aided coded caching for the miso bc with small caches"):
  with members:
    - "optimal sum dof of the k user miso bc with current and delayed feedback"
    - "the synergistic gains of coded caching and delayed feedback"
    - "information theoretic caching sequential coding for computing"
    - "joint cache channel coding over erasure broadcast channels"
    - "critical database size for effective caching"
    - "finite length analysis of caching aided coded multicasting"
    - "a transfer learning approach for cache enabled wireless networks"
    - "effect of number of users in multi level coded caching"

Connected through hyperedge HE-4 (induced by source paper "content delivery in erasure broadcast channels with cache and feedback"):
  with members:
    - "information theoretic caching the multi user case"
    - "fundamental limits of cache aided interference management"
    - "centralized coded caching for heterogeneous lossy requests"
    - "wireless caching technical misconceptions and business barriers"
    - "joint cache channel coding over erasure broadcast channels"
    - "critical database size for effective caching"
    - "content caching and delivery over heterogeneous wireless networks"
    - "order optimal rate of caching and coded multicasting with random demands"

Connected through hyperedge HE-5 (induced by source paper "modeling and analysis for cache enabled networks with dynamic traffic"):
  with members:
    - "fundamental limits of cache aided interference management"
    - "caching in wireless small cell networks a storage bandwidth tradeoff"
    - "optimal geographic caching in cellular networks"
    - "cache aided interference channels"
    - "living on the edge the role of proactive caching in 5g wireless networks"
    - "mixed timescale precoding and cache control in cached mimo interference network"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "femtocaching and device to device collaboration a new architecture for wireless video distribution"

Connected through hyperedge HE-6 (induced by source paper "caching improvement using adaptive user clustering"):
  with members:
    - "modeling and analysis of content caching in wireless small cell networks"
    - "hierarchical coded caching"
    - "fundamental limits of caching in wireless d2d networks"
    - "content aware user clustering and caching in wireless small cell networks"
    - "wireless device to device communications with distributed caching"
    - "fundamental limits of caching"

Connected through hyperedge HE-7 (induced by source paper "fundamental limits of cache aided wireless bc interplay of coded caching and csit feedback"):
  with members:
    - "fundamental tradeoff between storage and latency in cache aided wireless interference networks"
    - "degrees of freedom of cache aided wireless interference networks"
    - "optimal sum dof of the k user miso bc with current and delayed feedback"
    - "optimal dof of the k user broadcast channel with delayed and imperfect current csit"
    - "achieving full dof in heterogeneous parallel broadcast channels with outdated csit"
    - "the synergistic gains of coded caching and delayed feedback"
    - "information theoretic caching sequential coding for computing"
    - "joint cache channel coding over erasure broadcast 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)