human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "effective capacity in wireless networks a comprehensive survey"):
  Abstract: Low latency applications, such as multimedia communications, autonomous vehicles, and Tactile Internet are the emerging applications for next-generation wireless networks, such as 5th generation (5G) mobile networks. Existing physical-layer channel models, however, do not explicitly consider quality-of-service (QoS) aware related parameters under specific delay constraints. To investigate the performance of low-latency applications in future networks, a new mathematical framework is needed. Effective capacity (EC), which is a link-layer channel model with QoS-awareness, can be used to investigate the performance of wireless networks under certain statistical delay constraints. In this paper, we provide a comprehensive survey on existing works, that use the EC model in various wireless networks. We summarize the work related to EC for different networks such as cognitive radio networks (CRNs), cellular networks, relay networks, adhoc networks, and mesh networks. We explore five case studies encompassing EC operation with different design and architectural requirements. We survey various delay-sensitive applications such as voice and video with their EC analysis under certain delay constraints. We finally present the future research directions with open issues covering EC maximization.

Includes members:
  Member "ultra reliable and low latency wireless communication tail risk and scale":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimized age of information tail for ultra reliable low latency communications in vehicular networks")
  Member "performance analysis of noma for ultra reliable and low latency communications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "effective capacity of noma with finite blocklength for low latency communications")
  Member "wireless access for ultra reliable low latency communication urllc principles and building blocks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "massive mimo for internet of things iot connectivity")
  Member "secure transmission of delay sensitive data over wireless fading channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "physical layer authentication in mission critical mtc networks a security and delay performance analysis")
  Member "energy efficient ofdma networks maintaining statistical qos guarantees for delay sensitive traffic":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey of multi objective optimization in wireless sensor networks metrics algorithms and open problems")
  Member "statistical qos analysis of full duplex and half duplex heterogeneous cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "analysis of statistical qos in half duplex and full duplex dense heterogeneous cellular networks")
  Member "effective capacity of retransmission schemes a recurrence relation approach":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "reliable transmission of short packets through queues and noisy channels under latency and peak age violation guarantees")
  Member "backlog and delay reasoning in harq systems":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "effective capacity in mimo channels with arbitrary inputs")

Question: Please tell me which class the source paper 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.NI(Networking and Internet Architecture)