human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "optimal discrete power control in poisson clustered ad hoc networks"
  Abstract: Power control in a digital handset is practically implemented in a discrete fashion and usually such a discrete power control (DPC) scheme is suboptimal. In this paper, we first show that in a Poison-distributed ad hoc network, if DPC is properly designed with a certain condition satisfied, it can strictly work better than constant power control (i.e. no power control) in terms of average signal-to-interference ratio, outage probability and spatial reuse. This motivates us to propose an $N$-layer DPC scheme in a wireless clustered ad hoc network, where transmitters and their intended receivers in circular clusters are characterized by a Poisson cluster process (PCP) on the plane $\mathbb{R}^2$. The cluster of each transmitter is tessellated into $N$-layer annuli with transmit power $P_i$ adopted if the intended receiver is located at the $i$-th layer. Two performance metrics of transmission capacity (TC) and outage-free spatial reuse factor are redefined based on the $N$-layer DPC. The outage probability of each layer in a cluster is characterized and used to derive the optimal power scaling law $P_i=\Theta\left(\eta_i^{-\frac{\alpha}{2}}\right)$, with $\eta_i$ the probability of selecting power $P_i$ and $\alpha$ the path loss exponent. Moreover, the specific design approaches to optimize $P_i$ and $N$ based on $\eta_i$ are also discussed. Simulation results indicate that the proposed optimal $N$-layer DPC significantly outperforms other existing power control schemes in terms of TC and spatial reuse.

Connected through hyperedge HE-1 (induced by source paper "generalized sir analysis for stochastic heterogeneous wireless networks theory and applications"):
  with members:
    - "understanding the iot connectivity landscape a contemporary m2m radio technology roadmap"
    - "optimal cell load and throughput in green small cell networks with generalized cell association"
    - "the performance of successive interference cancellation in random wireless networks"
    - "downlink coordinated multi point with overhead modeling in heterogeneous cellular networks"
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "ergodic transmission capacity of wireless ad hoc networks with interference management"
    - "two way transmission capacity of wireless ad hoc networks"
    - "fractional power control for decentralized wireless networks"

Connected through hyperedge HE-2 (induced by source paper "optimal cell load and throughput in green small cell networks with generalized cell association"):
  with members:
    - "random cell association and void probability in poisson distributed cellular networks"
    - "d2d enhanced heterogeneous cellular networks with dynamic tdd"
    - "optimal base station deployment for small cell networks with energy efficient power control"
    - "a traffic load balancing framework for software defined radio access networks powered by hybrid energy sources"
    - "throughput and energy efficiency analysis of small cell networks with multi antenna base stations"
    - "joint resource partitioning and offloading in heterogeneous cellular networks"
    - "average rate of downlink heterogeneous cellular networks over generalized fading channels a stochastic geometry approach"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"

Connected through hyperedge HE-3 (induced by source paper "random cell association and void probability in poisson distributed cellular networks"):
  with members:
    - "throughput and energy efficiency analysis of small cell networks with multi antenna base stations"
    - "joint resource partitioning and offloading in heterogeneous cellular networks"
    - "average rate of downlink heterogeneous cellular networks over generalized fading channels a stochastic geometry approach"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "coverage and economy of cellular networks with many base stations"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "downlink coordinated multi point with overhead modeling in heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

Question: Please tell me which class the center node 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)