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 alignment with analog channel state feedback"
  Abstract: Interference alignment (IA) is a multiplexing gain optimal transmission strategy for the interference channel. While the achieved sum rate with IA is much higher than previously thought possible, the improvement often comes at the cost of requiring network channel state information at the transmitters. This can be achieved by explicit feedback, a flexible yet potentially costly approach that incurs large overhead. In this paper we propose analog feedback as an alternative to limited feedback or reciprocity based alignment. We show that the full multiplexing gain observed with perfect channel knowledge is preserved by analog feedback and that the mean loss in sum rate is bounded by a constant when signal-to-noise ratio is comparable in both forward and feedback channels. When signal-to-noise ratios are not quite symmetric, a fraction of the multiplexing gain is achieved. We consider the overhead of training and feedback and use this framework to optimize the system's effective throughput. We present simulation results to demonstrate the performance of IA with analog feedback, verify our theoretical analysis, and extend our conclusions on optimal training and feedback length.

Connected through hyperedge HE-1 (induced by source paper "on the feasibility of interference alignment in compounded mimo broadcast channels with antenna correlation and mixed user classes"):
  with members:
    - "error performance of wireless powered cognitive relay networks with interference alignment"
    - "on the capacity of wireless powered cognitive relay network with interference alignment"
    - "feasibility of interference alignment for the mimo interference channel"
    - "bounds on eigenvalues of a spatial correlation matrix"
    - "mimo interference alignment over correlated channels with imperfect csi"
    - "why does the kronecker model result in misleading capacity estimates"
    - "on feasibility of interference alignment in mimo interference networks"
    - "on feasibility of interference alignment in mimo interference networks"

Connected through hyperedge HE-2 (induced by source paper "joint optimization of power splitting and allocation for swipt in interference alignment networks"):
  with members:
    - "interactive joint transfer of energy and information"
    - "simultaneous information and power transfer for broadband wireless systems"
    - "wireless information and power transfer a dynamic power splitting approach"
    - "guiding blind transmitters degrees of freedom optimal interference alignment using relays"
    - "adaptive interference alignment with csi uncertainty"
    - "enabling wireless power transfer in cellular networks architecture modeling and deployment"
    - "robust beamforming for wireless information and power transmission"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"

Connected through hyperedge HE-3 (induced by source paper "a time variant channel prediction and feedback framework for interference alignment"):
  with members:
    - "on the degrees of freedom for opportunistic interference alignment with 1 bit feedback the 3 cell case"
    - "delay and doppler spreads of nonstationary vehicular channels for safety relevant scenarios"
    - "grassmannian differential limited feedback for interference alignment"
    - "adaptive interference alignment with csi uncertainty"
    - "ensemble properties of rvq based limited feedback beamforming codebooks"
    - "optimization of training and feedback overhead for beamforming over block fading channels"
    - "interference alignment under limited feedback for mimo interference channels"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"

Connected through hyperedge HE-4 (induced by source paper "robust transceiver design for reciprocal m n interference channel based on statistical linearization approximation"):
  with members:
    - "robust transceiver design for k pairs quasi static mimo interference channels via semi definite relaxation"
    - "interference alignment under limited feedback for mimo interference channels"
    - "interference alignment with limited feedback"
    - "degrees of freedom of the k user m times n mimo interference channel"

Connected through hyperedge HE-5 (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"
    - "interference aware resource control in multi antenna cognitive ad hoc networks with heterogeneous delay constraints"
    - "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"

Connected through hyperedge HE-6 (induced by source paper "distributed long term base station clustering in cellular networks using coalition formation"):
  with members:
    - "adaptive pilot clustering in heterogeneous massive mimo networks"
    - "globally optimal base station clustering in interference alignment based multicell networks"
    - "cooperative base station coloring for pair wise multi cell coordination"
    - "overhead aware distributed csi selection in the mimo interference channel"
    - "interference alignment aided base station clustering using coalition formation"
    - "what will 5g be"
    - "on the feasibility of linear interference alignment for mimo interference broadcast channels with constant coefficients"
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"

Connected through hyperedge HE-7 (induced by source paper "globally optimal base station clustering in interference alignment based multicell networks"):
  with members:
    - "distributed long term base station clustering in cellular networks using coalition formation"
    - "adaptive pilot clustering in heterogeneous massive mimo networks"
    - "on the feasibility of linear interference alignment for mimo interference broadcast channels with constant coefficients"
    - "user partitioning for less overhead in mimo interference channels"
    - "interference alignment with limited feedback"
    - "pilot contamination and precoding in multi cell tdd systems"

Connected through hyperedge HE-8 (induced by source paper "sparse signal processing concepts for efficient 5g system design"):
  with members:
    - "self calibration and biconvex compressive sensing"
    - "robust iterative interference alignment for cellular networks with limited feedback"
    - "characterization of coded random access with compressive sensing based multi user detection"
    - "the achievable performance of convex demixing"
    - "a stability result for sparse convolutions"
    - "fundamentals of throughput maximization with random arrivals for m2m communications"
    - "five disruptive technology directions for 5g"
    - "the papr problem in ofdm transmission new directions for a long lasting problem"

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)