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: "edge caching for coverage and capacity aided heterogeneous networks"
  Abstract: A two-tier heterogeneous cellular network (HCN) with intra-tier and inter-tier dependence is studied. The macro cell deployment follows a Poisson point process (PPP) and two different clustered point processes are used to model the cacheenabled small cells. Under this model, we derive approximate expressions in terms of finite integrals for the average delivery rate considering inter-tier and intra-tier dependence. On top of the fact that cache size drastically improves the performance of small cells in terms of average delivery rate, we show that rate splitting of limited-backhaul induces non-linear performance variations, and therefore has to be adjusted for rate fairness among users of different tiers.

Connected through hyperedge HE-1 (induced by source paper "reinforcement learning based cooperative coded caching under dynamic popularities in ultra dense networks"):
  with members:
    - "spectrum sharing in vehicular networks based on multi agent reinforcement learning"
    - "deep learning based channel estimation for massive mimo with mixed resolution adcs"
    - "deep learning based wireless resource allocation with application to vehicular networks"
    - "using grouped linear prediction and accelerated reinforcement learning for online content caching"
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "multi agent learning for cooperative large scale caching networks"
    - "deep reinforcement learning based resource allocation for v2v communications"
    - "random caching based cooperative transmission in heterogeneous wireless networks"

Connected through hyperedge HE-2 (induced by source paper "inter cluster cooperation for wireless d2d caching networks"):
  with members:
    - "skylite end to end design of low altitude uav networks for providing lte connectivity"
    - "high throughput opportunistic cooperative device to device communications with caching"
    - "optimal caching and scheduling for cache enabled d2d communications"
    - "delay analysis for wireless d2d caching with inter cluster cooperation"
    - "wireless device to device caching networks basic principles and system performance"
    - "delay analysis and optimization in cache enabled multi cell cooperative networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "analysis on cache enabled wireless heterogeneous networks"

Connected through hyperedge HE-3 (induced by source paper "random caching based cooperative transmission in heterogeneous wireless networks"):
  with members:
    - "optimal content placement for offloading in cache enabled heterogeneous wireless networks"
    - "a learning based approach to caching in heterogenous small cell networks"
    - "caching in wireless small cell networks a storage bandwidth tradeoff"
    - "cache enabled heterogeneous cellular networks comparison and tradeoffs"
    - "optimization and analysis of probabilistic caching in n tier heterogeneous networks"
    - "analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks"
    - "caching placement in stochastic wireless caching helper networks channel selection diversity via caching"
    - "cooperative caching and transmission design in cluster centric small cell networks"

Connected through hyperedge HE-4 (induced by source paper "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"):
  with members:
    - "caching at the wireless edge design aspects challenges and future directions"
    - "optimal content placement for offloading in cache enabled heterogeneous wireless networks"
    - "cache enabled heterogeneous cellular networks comparison and tradeoffs"
    - "energy efficiency of downlink networks with caching at base stations"
    - "optimal caching placement for d2d assisted wireless caching networks"
    - "analysis on cache enabled wireless heterogeneous networks"
    - "optimal geographic caching in cellular networks"
    - "analysis and optimization of caching and multicasting in large scale cache enabled wireless networks"

Connected through hyperedge HE-5 (induced by source paper "delay analysis for wireless d2d caching with inter cluster cooperation"):
  with members:
    - "high throughput opportunistic cooperative device to device communications with caching"
    - "optimal caching and scheduling for cache enabled d2d communications"
    - "wireless device to device caching networks basic principles and system performance"
    - "delay analysis and optimization in cache enabled multi cell cooperative networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "fundamental limits of caching in wireless d2d networks"
    - "base station assisted device to device communications for high throughput wireless video networks"

Connected through hyperedge HE-6 (induced by source paper "poisson cluster process based analysis of hetnets with correlated user and base station locations"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "fundamentals of modeling finite wireless networks using binomial point process"
    - "a primer on cellular network analysis using stochastic geometry"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimal geographic caching in finite wireless networks"

Connected through hyperedge HE-7 (induced by source paper "gibbsian on line distributed content caching strategy for cellular networks"):
  with members:
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"
    - "a low complexity approach to distributed cooperative caching with geographic constraints"
    - "on optimal geographical caching in heterogeneous cellular networks"
    - "a learning based approach to caching in heterogenous small cell networks"
    - "on the delay of geographical caching methods in two tiered heterogeneous networks"
    - "placing dynamic content in caches with small population"
    - "optimization of caching devices with geometric constraints"
    - "optimal geographic caching in cellular networks"

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)