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 "qoe based scheduling algorithm in wimax network using manhattan grid mobility model"):
  Abstract: WiMAX (acronym for Worldwide Interoperability for Microwave Access) is a family of technical standards based on IEEE 802.16 standard that defines the high speed connection through radio waves unlike DSL (Digital Subscriber Line) or other wired technology. It can provide coverage to remote rural areas of several kilometers in radius, it's an adequate response to some rural or inaccessible areas. WiMAX can provide point-to-point (P2P) and point-to-multipoint (PMP) modes. In parallel, it was observed that, unlike the traditional assessment methods for quality, nowadays, current research focuses on the user perceived quality, the existing scheduling approaches take into account the quality of service (QoS) and many technical parameters, but does not take into account the quality of experience (QoE). In this paper, we present a scheduling algorithm to provide QoE in WiMAX network under Manhattan Mobility. A new approach is proposed, particularly for the Best Effort (BE) service class WiMAX, in this approach, if a packet loss occurs on a link connection, the system then reduces the transmission rate of this connection to obtain its minimum allowable transmission rate. The NS-2 simulation results show that the QoE provided to users is enhanced in terms of throughput, jitter, packet loss rate and delay.

Includes members:
  Member "a qoe based scheduling algorithm for ugs service class in wimax network":
    also connected through other hyperedges:
      (none)
  Member "survey on qoe qos correlation models for multimedia services":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "edge user allocation with dynamic quality of service")

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)