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 "coordinated direct and relay schemes for two hop communication in vanets"):
  Abstract: In order to accommodate increasing need and offer communication with high performance, both vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communications are exploited. The advantages of static nodes and vehicular nodes are combined to achieve an optimal routing scheme. In this paper, we consider the communications between a static node and the vehicular nodes moving in an adjacent area of it. The adjacent area is defined as the zone where a vehicular can communicate with the static node within maximum two hops. We only consider single-hop and two-hop transmissions because these transmissions can be considered as building blocks to construct transmissions with a higher number of hops. Different cases in which an uplink or a downlink for the two-hop user combined with an uplink or a downlink for the single-hop user correspond to different CDR schemes. Using side information to intentionally cancel the interference, Network Coding (NC), CDR, overhearing and multi-way schemes aggregate communications flows in order to increase the performance of the network. We apply the mentioned schemes to a V2I network and propose novel schemes to optimally arrange and combine the transmissions.

Includes members:
  Member "transmission schemes for four way relaying in wireless cellular systems":
    also connected through other hyperedges:
      (none)
  Member "uplink capacity and interference avoidance for two tier femtocell networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a brief history on the theoretical analysis of dense small cell wireless networks")

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)