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: "multi application resource allocation with users discrimination in cellular networks"
  Abstract: In this paper, we consider resource allocation optimization problem in cellular networks for different types of users running multiple applications simultaneously. In our proposed model, each user application is assigned a utility function that represents the application type running on the user equipment (UE). The network operators assign a subscription weight to each UE based on its subscription. Each UE assigns an application weight to each of its applications based on the instantaneous usage percentage of the application. Additionally, UEs with higher priority assign applications target rates to their applications. Our objective is to allocate the resources optimally among the UEs and their applications from a single evolved node B (eNodeB) based on a utility proportional fairness policy with priority to realtime application users. A minimum quality of service (QoS) is guaranteed to each UE application based on the UE subscription weight, the UE application weight and the UE application target rate. We propose a two-stage rate allocation algorithm to allocate the eNodeB resources among users and their applications. Finally, we present simulation results for the performance of our rate allocation algorithm.

Connected through hyperedge HE-1 (induced by source paper "an optimal resource allocation with frequency reuse in cellular networks"):
  with members:
    - "signal processing and optimal resource allocation for the interference channel"
    - "a utility proportional fairness resource allocation in spectrally radar coexistent cellular networks"

Connected through hyperedge HE-2 (induced by source paper "resource allocation in cellular systems for applications with random parameters"):
  with members:
    - "optimal context aware resource allocation in cellular networks"
    - "an optimal resource allocation with joint carrier aggregation in 4g lte"
    - "a utility proportional fairness radio resource block allocation in cellular networks"
    - "rate adaptation and admission control for video transmission with subjective quality constraints"

Connected through hyperedge HE-3 (induced by source paper "an efficient multi carrier resource allocation with user discrimination framework for 5g wireless systems"):
  with members:
    - "a price selective centralized algorithm for resource allocation with carrier aggregation in lte cellular networks"
    - "robust resource allocation with joint carrier aggregation for multi carrier cellular networks"
    - "an optimal application aware resource block scheduling in lte"
    - "a utility proportional fairness radio resource block allocation in cellular networks"

Connected through hyperedge HE-4 (induced by source paper "a qos based power allocation for cellular users with different modulations"):
  with members:
    - "optimal context aware resource allocation in cellular networks"
    - "optimal downlink power allocation in cellular networks"
    - "an efficient multi carrier resource allocation with user discrimination framework for 5g wireless systems"

Connected through hyperedge HE-5 (induced by source paper "optimal power allocation for lte users with different modulations"):
  with members:
    - "optimal context aware resource allocation in cellular networks"
    - "optimal downlink power allocation in cellular networks"
    - "an efficient multi carrier resource allocation with user discrimination framework for 5g wireless systems"

Connected through hyperedge HE-6 (induced by source paper "optimal radio resource allocation for hybrid traffic in cellular networks centralized and distributed architecture"):
  with members:
    - "optimal context aware resource allocation in cellular networks"
    - "optimal downlink power allocation in cellular networks"
    - "an optimal application aware resource block scheduling in lte"
    - "implementing an optimal rate allocation tuned to the user quality of experience"

Connected through hyperedge HE-7 (induced by source paper "optimal radio resource allocation for hybrid traffic in cellular networks traffic analysis and implementation"):
  with members:
    - "an optimal application aware resource block scheduling in lte"
    - "optimal radio resource allocation for hybrid traffic in cellular networks centralized and distributed architecture"
    - "implementing an optimal rate allocation tuned to the user quality of experience"

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.NI(Networking and Internet Architecture)