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: "ergodic transmission capacity of wireless ad hoc networks with interference management"
  Abstract: Most work on wireless network throughput ignores the temporal correlation inherent to wireless channels because it degrades tractability. To better model and quantify the temporal variations of wireless network throughput, this paper introduces a metric termed ergodic transmission capacity (ETC), which includes spatial and temporal ergodicity. All transmitters in the network form a homogeneous Poisson point process and all channels are modeled by a finite state Markov chain. The bounds on outage probability and ETC are characterized, and their scaling behaviors for a sparse and dense network are discussed. From these results, we show that the ETC can be characterized by the inner product of the channel-state related vector and the invariant probability vector of the Markov chain. This indicates that channel-aware opportunistic transmission does not always increase ETC. Finally, we look at outage probability with interference management from a stochastic geometry point of view. The improved bounds on outage probability and ETC due to interference management are characterized and they provide some useful insights on how to effectively manage interference in sparse and dense networks.

Connected through hyperedge HE-1 (induced by source paper "ultra reliable and low latency communications using proactive multi cell association"):
  with members:
    - "wireless channel dynamics and robustness for ultra reliable low latency communications"
    - "resource allocation and harq optimization for urllc traffic in 5g wireless networks"
    - "reliable transmission of short packets through queues and noisy channels under latency and peak age violation guarantees"
    - "energy latency tradeoff in ultra reliable low latency communication with retransmissions"
    - "joint uplink and downlink resource configuration for ultra reliable and low latency communications"
    - "a statistical learning approach to ultra reliable low latency communication"
    - "heterogeneous networks with power domain noma coverage throughput and power allocation analysis"
    - "cross layer optimization for ultra reliable and low latency radio access networks"

Connected through hyperedge HE-2 (induced by source paper "fundamentals of simultaneous wireless information and power transmission in heterogeneous networks a cell load perspective"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "wireless power transfer in massive mimo aided hetnets with user association"
    - "fundamentals of the downlink green coverage and energy efficiency in heterogeneous networks"
    - "traffic management for heterogeneous networks with opportunistic unlicensed spectrum sharing"
    - "on the limits of coexisting coverage and capacity in multi rat heterogeneous networks"
    - "random cell association and void probability in poisson distributed cellular networks"
    - "optimal cell load and throughput in green small cell networks with generalized cell association"
    - "wireless networks with rf energy harvesting a contemporary survey"

Connected through hyperedge HE-3 (induced by source paper "generalized sir analysis for stochastic heterogeneous wireless networks theory and applications"):
  with members:
    - "understanding the iot connectivity landscape a contemporary m2m radio technology roadmap"
    - "optimal cell load and throughput in green small cell networks with generalized cell association"
    - "optimal discrete power control in poisson clustered ad hoc networks"
    - "the performance of successive interference cancellation in random wireless networks"
    - "downlink coordinated multi point with overhead modeling in heterogeneous cellular networks"
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "two way transmission capacity of wireless ad hoc networks"
    - "fractional power control for decentralized wireless networks"

Connected through hyperedge HE-4 (induced by source paper "a new cell association scheme in heterogeneous networks"):
  with members:
    - "joint resource partitioning and offloading in heterogeneous cellular networks"
    - "offloading in heterogeneous networks modeling analysis and design insights"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"
    - "analytical evaluation of fractional frequency reuse for ofdma cellular networks"

Connected through hyperedge HE-5 (induced by source paper "coexisting success probability and throughput of multi rat wireless networks with unlicensed band access"):
  with members:
    - "optimal cell load and throughput in green small cell networks with generalized cell association"
    - "coexistence of wi fi and heterogeneous small cell networks sharing unlicensed spectrum"
    - "a tractable approach to coverage and rate 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)