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: "optimal downlink power allocation in cellular networks"
  Abstract: Abstract   In this paper, we introduce a novel approach for power allocation in cellular networks. In our model, we use sigmoidal-like utility functions to represent different users’ modulation schemes. Each utility function is a representation of the probability of successfully transmitted packets per unit of power consumed by a user, when using a certain modulation scheme. We consider power allocation with utility proportional fairness policy, where the fairness among users is in utility percentage i.e. percentage of successfully transmitted packets of the corresponding modulation scheme. We formulate our power allocation optimization problem as a product of utilities of all users and prove that it is convex and therefore the optimal solution is tractable. We present a distributed algorithm to allocate base station powers optimally with priority given to users running lower modulation schemes while ensuring non-zero power allocation to users running higher modulation schemes. Our algorithm prevents fluctuation in the power allocation process and is capable of traffic and modulation dependent pricing policy. This can be used to flatten traffic and decrease the service price for users. We also compare our results with a benchmark algorithm and show that our algorithm performs better in allocating powers fairly to all users without dropping any user in order to maximize performance.

Connected through hyperedge HE-1 (induced by source paper "position estimation of robotic mobile nodes in wireless testbed using geni"):
  with members:
    - "an online delay efficient multi class packet scheduler for heterogeneous m2m uplink traffic"
    - "an online delay efficient packet scheduler for m2m traffic in industrial automation"
    - "a qos based power allocation for cellular users with different modulations"
    - "a price selective centralized algorithm for resource allocation with carrier aggregation in lte cellular networks"
    - "an efficient multi carrier resource allocation with user discrimination framework for 5g wireless systems"
    - "application aware resource block and power allocation for lte"
    - "an optimal application aware resource block scheduling in lte"
    - "real time rate distortion optimized streaming of wireless video"

Connected through hyperedge HE-2 (induced by source paper "optimal resource allocation for cellular networks with matlab instructions"):
  with members:
    - "position estimation of robotic mobile nodes in wireless testbed using geni"
    - "a delay optimal packet scheduler for m2m uplink"
    - "network mimo with partial cooperation between radar and cellular systems"
    - "optimal context aware resource allocation in cellular networks"
    - "resource allocation in cellular systems for applications with random parameters"
    - "an efficient multi carrier resource allocation with user discrimination framework for 5g wireless systems"
    - "application aware resource block and power allocation for lte"
    - "implementing an optimal rate allocation tuned to the user quality of experience"

Connected through hyperedge HE-3 (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"
    - "an efficient multi carrier resource allocation with user discrimination framework for 5g wireless systems"
    - "multi application resource allocation with users discrimination in cellular networks"

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

Connected through hyperedge HE-5 (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"
    - "an optimal application aware resource block scheduling in lte"
    - "multi application resource allocation with users discrimination in cellular networks"
    - "implementing an optimal rate allocation tuned to the user quality of experience"

Connected through hyperedge HE-6 (induced by source paper "on the impact of time varying interference channel on the spatial approach of spectrum sharing between s band radar and communication system"):
  with members:
    - "qpsk waveform for mimo radar with spectrum sharing constraints"
    - "3d channel modeling between seaborne mimo radar and mimo cellular system"
    - "target detection performance of spectrum sharing mimo radars"
    - "a utility proportional fairness resource allocation in spectrally radar coexistent 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.NI(Networking and Internet Architecture)