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: "an analytical framework for heterogeneous partial feedback design in heterogeneous multicell ofdma networks"
  Abstract: The inherent heterogeneous structure resulting from user densities and large scale channel effects motivates heterogeneous partial feedback design in heterogeneous networks. In such emerging networks, a distributed scheduling policy which enjoys multiuser diversity as well as maintains fairness among users is favored for individual user rate enhancement and guarantees. For a system employing the cumulative distribution function based scheduling, which satisfies the two above mentioned desired features, we develop an analytical framework to investigate heterogeneous partial feedback in a general OFDMA-based heterogeneous multicell employing the best- M partial feedback strategy. Exact sum rate analysis is first carried out and closed form expressions are obtained by a novel decomposition of the probability density function of the selected user's signal-to-interference-plus-noise ratio. To draw further insight, we perform asymptotic analysis using extreme value theory to examine the effect of partial feedback on the randomness of multiuser diversity, show the asymptotic optimality of best-1 feedback, and derive an asymptotic approximation for the sum rate in order to determine the minimum required partial feedback.

Connected through hyperedge HE-1 (induced by source paper "a distributed optimization framework for multi channel multi user small cell networks"):
  with members:
    - "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria"
    - "mapel achieving global optimality for a non convex wireless power control problem"

Connected through hyperedge HE-2 (induced by source paper "joint beamforming and power control in coordinated multicell max min duality effective network and large system transition"):
  with members:
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "on capacity of large scale mimo multiple access channels with distributed sets of correlated antennas"
    - "performance analysis of heterogeneous feedback design in an ofdma downlink with partial and imperfect feedback"
    - "network mimo with linear zero forcing beamforming large system analysis impact of channel estimation and reduced complexity scheduling"
    - "fundamental limits of cooperation"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"
    - "on the precoder design of flat fading mimo systems equipped with mmse receivers a large system approach"
    - "a deterministic equivalent for the analysis of correlated mimo multiple access channels"

Connected through hyperedge HE-3 (induced by source paper "optimal feedback rate sharing strategy in zero forcing mimo broadcast channels"):
  with members:
    - "random beamforming with heterogeneous users and selective feedback individual sum rate and individual scaling laws"
    - "multi user diversity vs accurate channel state information in mimo downlink channels"
    - "stochastic control of event driven feedback in multiantenna interference channels"
    - "a scalable limited feedback design for network mimo using per cell product codebook"
    - "mode switching for the multi antenna broadcast channel based on delay and channel quantization"
    - "adaptive limited feedback for sum rate maximizing beamforming in cooperative multicell systems"
    - "limited feedback based block diagonalization for the mimo broadcast channel"
    - "antenna combining for the mimo downlink channel"

Connected through hyperedge HE-4 (induced by source paper "efficient solutions for weighted sum rate maximization in multicellular networks with channel uncertainties"):
  with members:
    - "fast converging algorithm for weighted sum rate maximization in multicell miso downlink"
    - "robust monotonic optimization framework for multicell miso systems"
    - "achieving global optimality for weighted sum rate maximization in the k user gaussian interference channel with multiple antennas"
    - "robust linear precoder design for multi cell downlink transmission"
    - "cooperative interference management with miso beamforming"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-5 (induced by source paper "multicell random beamforming with cdf based scheduling exact rate and scaling laws"):
  with members:
    - "random beamforming with heterogeneous users and selective feedback individual sum rate and individual scaling laws"
    - "information exchange limits in cooperative mimo networks"

Connected through hyperedge HE-6 (induced by source paper "joint user grouping and linear virtual beamforming complexity algorithms and approximation bounds"):
  with members:
    - "joint power and admission control via linear programming deflation"
    - "linear precoding in cooperative mimo cellular networks with limited coordination clusters"
    - "optimal spectrum sharing in mimo cognitive radio networks via semidefinite programming"
    - "cooperative multi cell block diagonalization with per base station power constraints"
    - "networked mimo with clustered linear precoding"

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)