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: "decomposition by successive convex approximation a unifying approach for linear transceiver design in heterogeneous networks"
  Abstract: We study the downlink linear precoder design problem in a multi-cell dense heterogeneous network (HetNet). The problem is formulated as a general sum-utility maximization (SUM) problem, which includes as special cases many practical precoder design problems such as multi-cell coordinated linear precoding, full and partial per-cell coordinated multi-point transmission, zero-forcing precoding and joint BS clustering and beamforming/precoding. The SUM problem is difficult due to its non-convexity and the tight coupling of the users' precoders. In this paper we propose a novel convex approximation technique to approximate the original problem by a series of convex subproblems, each of which decomposes across all the cells. The convexity of the subproblems allows for efficient computation, while their decomposability leads to distributed implementation. {Our approach hinges upon the identification of certain key convexity properties of the sum-utility objective, which allows us to transform the problem into a form that can be solved using a popular algorithmic framework called BSUM (Block Successive Upper-Bound Minimization).} Simulation experiments show that the proposed framework is effective for solving interference management problems in large HetNet.

Connected through hyperedge HE-1 (induced by source paper "a stochastic analysis of network mimo systems"):
  with members:
    - "large scale mimo versus network mimo for multicell interference mitigation"
    - "adaptive multicell 3d beamforming in multi antenna cellular networks"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "optimizing multi cell massive mimo for spectral efficiency how many users should be scheduled"
    - "analysis of joint transmit receive diversity in downlink mimo heterogeneous cellular networks"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"
    - "downlink mimo hetnets modeling ordering results and performance analysis"
    - "downlink multi antenna heterogeneous cellular network with load balancing"

Connected through hyperedge HE-2 (induced by source paper "joint optimization of power and data transfer in multiuser mimo systems"):
  with members:
    - "wireless powered communication opportunities and challenges"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "secure beamforming for mimo broadcasting with wireless information and power transfer"
    - "decomposition by partial linearization parallel optimization of multi agent systems"
    - "multiuser miso beamforming for simultaneous wireless information and power transfer"
    - "joint transmit beamforming and receive power splitting for miso swipt systems"
    - "application of smart antenna technologies in simultaneous wireless information and power transfer"

Connected through hyperedge HE-3 (induced by source paper "mse based precoding for mimo downlinks in heterogeneous networks"):
  with members:
    - "what will 5g be"
    - "joint source and relay precoding designs for mimo two way relaying based on mse criterion"
    - "linear precoding designs for amplify and forward multiuser two way relay systems"
    - "cooperative multi cell block diagonalization with per base station power constraints"
    - "pilot contamination and precoding in multi cell tdd systems"

Connected through hyperedge HE-4 (induced by source paper "sparse beamforming and user centric clustering for downlink cloud radio access network"):
  with members:
    - "downlink and uplink energy minimization through user association and beamforming in cloud ran"
    - "backhaul limited asymmetric cooperation for mimo cellular networks via semidefinite relaxation"
    - "group sparse beamforming for green cloud ran"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "performance limits of a cloud radio"
    - "min flow rate maximization for software defined radio access networks"
    - "energy efficient resource allocation in ofdma systems with hybrid energy harvesting base station"
    - "linear precoding and equalization for network mimo with partial cooperation"

Connected through hyperedge HE-5 (induced by source paper "optimized backhaul compression for uplink cloud radio access network"):
  with members:
    - "uplink multicell processing with limited backhaul via per base station successive interference cancellation"
    - "robust and efficient distributed compression for cloud radio access networks"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "wireless network information flow a deterministic approach"
    - "slepian wolf coding over cooperative relay networks"
    - "uplink comp under a constrained backhaul and imperfect channel knowledge"
    - "distributed mimo receiver achievable rates and upper bounds"

Connected through hyperedge HE-6 (induced by source paper "decomposition by partial linearization parallel optimization of multi agent systems"):
  with members:
    - "signal processing and optimal resource allocation for the interference channel"
    - "real and complex monotone communication games"
    - "game theory and the frequency selective interference channel"
    - "the mimo iterative waterfilling algorithm"
    - "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria"
    - "competitive design of multiuser mimo systems based on game theory a unified view"

Connected through hyperedge HE-7 (induced by source paper "parallel and distributed methods for nonconvex optimization part i theory"):
  with members:
    - "signal processing and optimal resource allocation for the interference channel"
    - "decomposition by partial linearization parallel optimization of multi agent systems"
    - "distributed optimal beamformers for cognitive radios robust to channel uncertainties"
    - "linear transceiver design for a mimo interfering broadcast channel achieving max min fairness"
    - "optimal distributed beamforming for miso interference channels"

Connected through hyperedge HE-8 (induced by source paper "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"):
  with members:
    - "decomposition by partial linearization parallel optimization of multi agent systems"
    - "reverse compute and forward a low complexity architecture for downlink distributed antenna systems"
    - "distributed robust multicell coordinated beamforming with imperfect csi an admm approach"
    - "robust and efficient distributed compression for cloud radio access networks"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "optimized data sharing in multicell mimo with finite backhaul capacity"
    - "quantized compute and forward a low complexity architecture for distributed antenna systems"
    - "multiuser miso transmitter optimization for intercell interference mitigation"

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)