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: "interference aware resource control in multi antenna cognitive ad hoc networks with heterogeneous delay constraints"
  Abstract: In this work, we consider a multi-antenna cognitive ad hoc network (CAHNet) with heterogeneous delay requirements. To fulfill the interference and delay constraints simultaneously, we propose to perform adaptive zero-forcing beamforming (ZFBF) at cognitive transmitters according to interference channel state information (CSI). To assist the CAHNet to obtain the interference CSI, we use a win-win inter-network cooperation strategy, namely quantized interference CSI feedback from the primary network to CAHNet through a feedback link, under the condition that the CAHNet pays a proper price for it. Considering the scarcity of feedback and power resources, we focus on the minimization of the overall resource cost subject to both interference and delay constraints. To solve the problem, we derive a joint feedback and power control algorithm amongst multiple links of CAHNet. Finally, simulation results validate the effectiveness of the proposed algorithm.

Connected through hyperedge HE-1 (induced by source paper "on interference alignment with imperfect csi characterizations of outage probability ergodic rate and ser"):
  with members:
    - "performance analysis and optimization for interference alignment over mimo interference channels with limited feedback"
    - "the feasibility conditions for interference alignment in mimo networks"
    - "on the achievable dof and user scaling law of opportunistic interference alignment in 3 transmitter mimo interference channels"
    - "performance analysis for physical layer security in multi antenna downlink networks with limited csi feedback"
    - "limited feedback design for interference alignment on mimo interference networks with heterogeneous path loss and spatial correlations"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "distributed robust multicell coordinated beamforming with imperfect csi an admm approach"

Connected through hyperedge HE-2 (induced by source paper "performance analysis and optimization for interference alignment over mimo interference channels with limited feedback"):
  with members:
    - "the feasibility conditions for interference alignment in mimo networks"
    - "limited feedback design for interference alignment on mimo interference networks with heterogeneous path loss and spatial correlations"
    - "robust lattice alignment for k user mimo interference channels with imperfect channel knowledge"
    - "multi mode transmission for the mimo broadcast channel with imperfect channel state information"
    - "cooperative precoding with limited feedback for mimo interference channels"
    - "on feasibility of interference alignment in mimo interference networks"
    - "downlink interference alignment"
    - "interference alignment under limited feedback for mimo interference channels"

Connected through hyperedge HE-3 (induced by source paper "joint optimization of spectrum sensing and accessing in multiuser miso cognitive networks"):
  with members:
    - "energy efficient joint source and channel sensing in cognitive radio sensor networks"
    - "adaptive mode selection in multiuser miso cognitive networks with limited cooperation and feedback"
    - "multi mode transmission for the mimo broadcast channel with imperfect channel state information"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "eigenvalue based spectrum sensing algorithms for cognitive radio"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-4 (induced by source paper "exploiting delay correlation for multi antenna assisted high speed train communications"):
  with members:
    - "gossip based information spreading in mobile networks"

Connected through hyperedge HE-5 (induced by source paper "adaptive mode selection in multiuser miso cognitive networks with limited cooperation and feedback"):
  with members:
    - "censored truncated sequential spectrum sensing for cognitive radio networks"
    - "multi mode transmission for the mimo broadcast channel with imperfect channel state information"
    - "price based resource allocation for spectrum sharing femtocell networks a stackelberg game approach"
    - "design of learning based mimo cognitive radio systems"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "on peak versus average interference power constraints for protecting primary users in cognitive radio networks"
    - "investigation on multiuser diversity in spectrum sharing based cognitive radio networks"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-6 (induced by source paper "resource allocation for cost minimization in limited feedback mu mimo systems with delay guarantee"):
  with members:
    - "a survey on delay aware resource control for wireless systems large deviation theory stochastic lyapunov drift and distributed stochastic learning"
    - "queue aware dynamic clustering and power allocation for network mimo systems via distributed stochastic learning"
    - "multi mode transmission for the mimo broadcast channel with imperfect channel state information"
    - "delay optimal power and subcarrier allocation for ofdma systems via stochastic approximation"
    - "mimo broadcast channels with finite rate feedback"

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)