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: "ieee 802 11ad based radar an approach to joint vehicular communication radar system"
  Abstract: Millimeter-wave (mmWave) radar is widely used in vehicles for applications such as adaptive cruise control and collision avoidance. In this paper, we propose an IEEE 802.11ad-based radar for long-range radar (LRR) applications at the 60 GHz unlicensed band. We exploit the preamble of a single-carrier (SC) physical layer (PHY) frame, which consists of Golay complementary sequences with good correlation properties, as a radar waveform. This system enables a joint waveform for automotive radar and a potential mmWave vehicular communication system based on IEEE 802.11ad, allowing hardware reuse. To formulate an integrated framework of vehicle-to-vehicle (V2V) communication and LRR based on a mmWave consumer wireless local area network (WLAN) standard, we make typical assumptions for LRR applications and incorporate the full duplex radar assumption due to the possibility of sufficient isolation and self-interference cancellation. We develop single- and multi-frame radar receiver algorithms for target detection as well as range and velocity estimation within a coherent processing interval. Our proposed radar processing algorithms leverage channel estimation and time-frequency synchronization techniques used in a conventional IEEE 802.11ad receiver with minimal modifications. Analysis and simulations show that in a single target scenario, a Gbps data rate is achieved simultaneously with cm-level range accuracy and cm/s-level velocity accuracy. The target vehicle is detected with a high probability of detection ($>$99.9$\%$) at a low false alarm of 10$^{-6}$ for an equivalent isotropically radiated power (EIRP) of 43 dBm up to a vehicle separation distance of 200 m.

Connected through hyperedge HE-1 (induced by source paper "mac protocols for terahertz communication a comprehensive survey"):
  with members:
    - "on the reliability of wireless virtual reality at terahertz thz frequencies"
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "on unified vehicular communications and radar sensing in millimeter wave and low terahertz bands"
    - "survey on terahertz nanocommunication and networking a top down perspective"
    - "end to end simulation of 5g mmwave networks"
    - "wireless terahertz system architectures for networks beyond 5g"
    - "terahertz technologies to deliver optical network quality of experience in wireless systems beyond 5g"
    - "slotted csma ca based energy efficient mac protocol design in nanonetworks"

Connected through hyperedge HE-2 (induced by source paper "on the effectiveness of otfs for joint radar and communication"):
  with members:
    - "low complexity linear equalizers for otfs exploiting two dimensional fast fourier transform"
    - "performance analysis of joint radar and communication using ofdm and otfs"
    - "joint radar communications strategies for autonomous vehicles"
    - "orthogonal time frequency space otfs modulation based radar system"
    - "channel estimation for orthogonal time frequency space otfs massive mimo"
    - "joint state sensing and communication optimal tradeoff for a memoryless case"
    - "embedded pilot aided channel estimation for otfs in delay doppler channels"
    - "interference cancellation and iterative detection for orthogonal time frequency space modulation"

Connected through hyperedge HE-3 (induced by source paper "on unified vehicular communications and radar sensing in millimeter wave and low terahertz bands"):
  with members:
    - "5g software defined vehicular networks"
    - "last meter indoor terahertz wireless access performance insights and implementation roadmap"
    - "millimeter wave vehicular communication to support massive automotive sensing"

Connected through hyperedge HE-4 (induced by source paper "performance analysis of joint radar and communication using ofdm and otfs"):
  with members:
    - "orthogonal time frequency space otfs modulation based radar system"
    - "joint state sensing and communication optimal tradeoff for a memoryless case"
    - "interference cancellation and iterative detection for orthogonal time frequency space modulation"

Connected through hyperedge HE-5 (induced by source paper "joint radar communications strategies for autonomous vehicles"):
  with members:
    - "analysis of frequency agile radar via compressed sensing"
    - "toward dual functional radar communication systems optimal waveform design"
    - "mu mimo communications with mimo radar from co existence to joint transmission"

Connected through hyperedge HE-6 (induced by source paper "physical layer identification based on spatial temporal beam features for millimeter wave wireless networks"):
  with members:
    - "inverse multipath fingerprinting for millimeter wave v2i beam alignment"
    - "a curriculum learning method for improved noise robustness in automatic speech recognition"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"

Connected through hyperedge HE-7 (induced by source paper "towards standardization of millimeter wave vehicle to vehicle networks open challenges and performance evaluation"):
  with members:
    - "path loss models for v2v mmwave communication performance evaluation and open challenges"
    - "understanding noise and interference regimes in 5g millimeter wave cellular networks"

Connected through hyperedge HE-8 (induced by source paper "mimo beampattern and waveform design with low resolution dacs"):
  with members:
    - "design of spectrally shaped binary sequences via randomized convex relaxation"
    - "massive mimo downlink 1 bit precoding with linear programming for psk signaling"
    - "quantized precoding for massive mu mimo"
    - "bilinear generalized approximate message passing part i derivation"
    - "generalized approximate message passing for estimation with random linear mixing"

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)