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 "a comparison study of coupled and decoupled uplink heterogeneous cellular networks"):
  Abstract: The evolution of mobile cellular networks has brought great changes of network architecture. For example, heterogeneous cellular network (HetNet) and Ultra dense network (UDN) have been proposed as promising techniques for 5G systems. Dense deployment of base stations (BSs) allows a mobile user to be able to access multiple BSs. Meanwhile the unbalance between UL and DL in HetNets, such as different received SINR threshold and traffic load, etc., becomes increasingly obvious. All these factors naturally inspire us to consider decoupling of uplink and downlink in radio access network. An interesting question is that whether the decoupled uplink (UL) /downlink (DL) access (DUDA) mode outperforms traditional coupled uplink (UL)/downlink (DL) access (CUDA) mode or not, and how big is the performance difference in terms of system rate, spectrum efficiency (SE) and energy efficiency (EE), etc. in HetNets. In this paper, we aim at thoroughly comparing the performance of the two modes based on stochastic geometry theory. In our analytical model, we take into account dynamic transmit power control in UL communication. Specifically, we employ fractional power control (FPC) to model a location-dependent channel state. Numerical results reveals that DUDA mode significantly outperforms CUDA mode in system rate, SE and EE in HetNets. In addition, DUDA mode improves load balance and potential fairness for both different type BSs and associated UEs.

Includes members:
  Member "capacity analysis of decoupled downlink and uplink access in 5g heterogeneous systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "downlink and uplink decoupling in two tier heterogeneous networks with multi antenna base stations")
  Member "efficiency analysis of decoupled downlink and uplink access in heterogeneous networks":
    also connected through other hyperedges:
      (none)
  Member "energy efficiency of cross tier base station cooperation in heterogeneous cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deploying dense networks for maximal energy efficiency small cells meet massive mimo")
  Member "analytical modeling of uplink cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "dynamic tdd interference analysis in macro cell and small cell deployments")
  Member "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "stochastic geometry analysis of sojourn time in multi tier cellular 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)