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 "user centric interference nulling in downlink multi antenna heterogeneous networks"):
  Abstract: Heterogeneous networks (HetNets) have strong interference due to spectrum reuse. This affects the signal-to-interference ratio (SIR) of each user, and hence is one of the limiting factors of network performance. However, in previous works, interference management approaches in HetNets are mainly based on interference level, and thus cannot effectively utilize the limited resource to improve network performance. In this paper, we propose a user-centric interference nulling (IN) scheme in downlink two-tier HetNets to improve network performance by improving each user's SIR. This scheme has three design parameters: the maximum degree of freedom for IN (IN DoF), and the IN thresholds for the macro and pico users, respectively. Using tools from stochastic geometry, we first obtain a tractable expression of the coverage (equivalently outage) probability. Then, we characterize the asymptotic behavior of the outage probability in the high reliability regime. The asymptotic results show that the maximum IN DoF can affect the order gain of the asymptotic outage probability, while the IN thresholds only affect the coefficient of the asymptotic outage probability. Moreover, we show that the IN scheme can linearly improve the outage performance, and characterize the optimal maximum IN DoF which minimizes the asymptotic outage probability.

Includes members:
  Member "the mean interference to signal ratio and its key role in cellular and amorphous networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "sir analysis via signal fractions")
  Member "user centric intercell interference nulling for downlink small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "modeling analysis and optimization of caching in multi antenna small cell networks")
  Member "a tractable model for noncoherent joint transmission base station cooperation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "edge computing enabled cell free massive mimo systems")
  Member "analysis and optimization of inter tier interference coordination in downlink multi antenna hetnets with offloading":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a unified framework for the tractable analysis of multi antenna wireless networks")
  Member "massive mimo meets hetnet interference coordination through spatial blanking":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "non coherent detection and bit error rate for an ambient backscatter link in time selective fading")
  Member "location aware cross tier coordinated multipoint transmission in two tier cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a novel jt comp scheme in 5g fractal small cell networks")
  Member "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "sir analysis via signal fractions")
  Member "interference coordination random clustering and adaptive limited feedback":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "provisioning energy efficiency and qos for multi carrier comp with limited feedback")

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)