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: "low cost cognitive radios against spectrum scarcity"
  Abstract: The next generation wireless networks are envisioned to deal with the expected thousand-fold increase in total mobile broadband data and the hundred-fold increase in connected devices. In order to provide higher data rates, improved end-to-end performance, low latency, and low energy consumption at a low cost per transmission, the fifth generation (5G) systems are required to overcome various handicaps of current cellular networks and wireless links. One of the key handicaps of 5G systems is the performance degradation of the communication link, due to the use of low-cost transceiver in high data rate. Motivated by this in this paper, we discuss the impact of transceiver front-end hardware imperfections on the spectrum sensing performance of cognitive radios.

Connected through hyperedge HE-1 (induced by source paper "ergodic capacity evaluation of wireless thz fiber extenders"):
  with members:
    - "wireless terahertz system architectures for networks beyond 5g"
    - "terahertz technologies to deliver optical network quality of experience in wireless systems beyond 5g"
    - "i q imbalance self interference coordination"
    - "millimeter wave cellular networks a mac layer perspective"
    - "massive mimo systems with hardware constrained base stations"
    - "a new look at dual hop relaying performance limits with hardware impairments"
    - "optimal coordinated beamforming in the multicell downlink with transceiver impairments"
    - "mimo transmission with residual transmit rf impairments"

Connected through hyperedge HE-2 (induced by source paper "analytical performance evaluation of beamforming under transceivers hardware imperfections"):
  with members:
    - "wireless terahertz system architectures for networks beyond 5g"
    - "terahertz technologies to deliver optical network quality of experience in wireless systems beyond 5g"
    - "a new look at dual hop relaying performance limits with hardware impairments"
    - "mimo transmission with residual transmit rf impairments"

Connected through hyperedge HE-3 (induced by source paper "wireless terahertz system architectures for networks beyond 5g"):
  with members:
    - "terahertz technologies to deliver optical network quality of experience in wireless systems beyond 5g"
    - "hybrid beamforming for massive mimo a survey"
    - "tracking angles of departure and arrival in a mobile millimeter wave channel"
    - "millimeter wave cellular networks a mac layer perspective"
    - "spatially common sparsity based adaptive channel estimation and feedback for fdd massive mimo"
    - "efficient scheduling and power allocation for d2d assisted wireless caching networks"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"

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.NI(Networking and Internet Architecture)