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 "simple and generic simulator algorithm for inhomogeneous random spatial deployment"):
  Abstract: Abstract —Due to technical intricacy, restricted resources, and high-cost for collecting empirical datasets, spatial modeling of wireless information networks via analytical means has been considered as a widely practiced mechanism for inference. As a result, diverse deployment models have been proposed for emulating the geometry of a network in order to explore its features. Although, these varied models are relevant in certain instances, but on the whole, such methods do not necessarily echo the actual inhomogeneous geometry of a network configuration over a particular deployment site. Therefore, we conceptualized a straightforward and flexible approach for random spatial inhomogeneity by proposing the area-specific deployment (ASD) algorithm, which takes into account the clustering tendency of users. In fact, the ASD method has the advantage of achieving a more realistic heterogeneous deployment based on limited planning inputs, while still preserving the stochastic character of users’ position. We then applied this technique to different circumstances, and developed spatial-level network algorithms for controlled and uncontrolled cellular network deployments. Overall, the derived simulator tools will effectively and easily be useful for designers and deployment planners modeling a host of multi-coverage and multi-scale wireless network situations.

Includes members:
  Member "closed form path loss predictor for gaussianly distributed nodes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "large scale fading behavior for a cellular network with uniform spatial distribution")
  Member "collaborative beamforming for distributed wireless ad hoc sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "coherent communications in self organizing networks with distributed beamforming")

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)