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 "dynamic tdd interference analysis in macro cell and small cell deployments"):
  Abstract: Meeting the continued growth in data traffic volume, Dynamic Time Division Duplex (D-TDD) has been introduced as a solution to deal with the uplink (UL) and downlink (DL) traffic asymmetry, mainly observed for dense heterogeneous network deployments, since it is based on instantaneous traffic estimation and provide more flexibility in resource assignment. However, using this feature requires new interference mitigation schemes capable to handle two additional types of interference between cells in opposite transmission direction: DL to UL and UL to DL interference. The aim of this work is to provide a complete analytical approach to model inter-cell interference in macro-cells deployment and dense small-cells. We derive the explicit expressions of Interference to Signal Ratio (ISR) metric at each position of the network, in both DL and UL, to quantify the impact of each type of interference on the perceived performance. Also, we provide the explicit expressions of the coverage probability as a functions of different system parameters for both macro-cells and small-cells deployments. Finally, through system level simulations, we analyze the feasibility of D-TDD and its comparison with the static-TDD configuration.

Includes members:
  Member "3d beamforming based dynamic tdd interference mitigation scheme":
    also connected through other hyperedges:
      (none)
  Member "interference analysis in dynamic tdd system combined or not with cell clustering scheme":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a 3d beamforming scheme based on the spatial distribution of user locations")
  Member "performance of dynamic and static tdd in self backhauled millimeter wave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "millimeter wave integrated access and backhaul in 5g performance analysis and design insights")
  Member "a primer on cellular network analysis using stochastic geometry":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "analytical tractability of hexagonal network model with random user location":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a 3d beamforming scheme based on the spatial distribution of user locations")
  Member "d2d enhanced heterogeneous cellular networks with dynamic tdd":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "analysis of d2d communication with rf energy harvesting and interference management")
  Member "dynamic uplink downlink optimization in tdd based small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "d2d enhanced heterogeneous cellular networks with dynamic tdd")
  Member "analytical modeling of uplink cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "edge computing enabled cell free massive mimo systems")

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)