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 "traffic management for heterogeneous networks with opportunistic unlicensed spectrum sharing"):
  Abstract: This paper studies how to maximize the per-user-based throughput in an M-tier heterogeneous wireless network (HetNet) by optimally managing traffic flows between the access points (APs) in the HetNet. The APs in the first M-1 tiers can use the licensed spectrum at the same time whereas they share the unlicensed spectrum with the APs in the Mth tier by the proposed opportunistic carrier sense multiple access with collision avoidance (CSMA/CA) protocol. The APs that access the licensed and unlicensed spectra simultaneously are able to integrate their spectrum resources by the carrier aggregation technique. We first characterize the distribution of the cell load and the channel access probability of each AP using a generalized AP association scheme. For an AP in each tier, the tight lower bounds on its mean spectrum efficiencies in the licensed and unlicensed spectra are derived for the general random models of the channel gain and AP association weights. We define the per-user link throughput and per-user network throughput based on the derived the mean spectrum efficiencies and maximize them by proposing the decentralized and centralized traffic management schemes for the APs in the first M-1 tiers under the constraint that the per-user link throughput of the tier-M APs must be above some minimum required value. Finally, a numerical example of coexisting LTE and WiFi networks is provided to validate our derived results and findings.

Includes members:
  Member "modeling and analyzing the coexistence of wi fi and lte in unlicensed spectrum":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "analysis of worst case interference in underlay radar massive mimo spectrum sharing scenarios")
  Member "fundamentals of the downlink green coverage and energy efficiency in heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "modeling and performance analysis in cache enabled millimeter wave hetnets with access and backhaul integration")
  Member "on the limits of coexisting coverage and capacity in multi rat heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fundamentals of simultaneous wireless information and power transmission in heterogeneous networks a cell load perspective")
  Member "coexisting success probability and throughput of multi rat wireless networks with unlicensed band access":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the limits of coexisting coverage and capacity in multi rat heterogeneous networks")
  Member "random cell association and void probability in poisson distributed cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mmwave uav networks with multi cell association performance limit and optimization")
  Member "small cell traffic balancing over licensed and unlicensed bands":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "contract based incentive mechanism for lte over unlicensed channels")
  Member "optimal cell load and throughput in green small cell networks with generalized cell association":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "mmwave uav networks with multi cell association performance limit and optimization")
  Member "coexistence of wi fi and heterogeneous small cell networks sharing unlicensed spectrum":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "power allocation in multi user cellular networks deep reinforcement learning approaches")

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.IT(Information Theory)