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: "shannon meets wiener ii on mmse estimation in successive decoding schemes"
  Abstract: We continue to discuss why MMSE estimation arises in coding schemes that approach the capacity of linear Gaussian channels. Here we consider schemes that involve successive decoding, such as decision-feedback equalization or successive cancellation.

Connected through hyperedge HE-1 (induced by source paper "capacity scaling of massive mimo in strong spatial correlation regimes"):
  with members:
    - "massive mimo has unlimited capacity"
    - "massive mimo pilot decontamination and channel interpolation via wideband sparse channel estimation"
    - "on the miso channel with feedback can infinitely massive antennas achieve infinite capacity"
    - "on the ergodic rate lower bounds with applications to massive mimo"
    - "on the role of transmit correlation diversity in multiuser mimo systems"
    - "robust pilot decontamination based on joint angle and power domain discrimination"
    - "hybrid beamforming for massive mimo a survey"
    - "on the high snr capacity of the gaussian interference channel and new capacity bounds"

Connected through hyperedge HE-2 (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"
    - "decomposition by successive convex approximation a unifying approach for linear transceiver design in heterogeneous 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"

Connected through hyperedge HE-3 (induced by source paper "filter and nested lattice code design for mimo fading channels with side information"):
  with members:
    - "dirty paper coding for fading channels with partial transmitter side information"
    - "on the achievable rate of the fading dirty paper channel with imperfect csit"
    - "writing on dirty paper with resizing and its application to quasi static fading broadcast channels"
    - "a lattice based mimo broadcast precoder for multi stream transmission"
    - "on the fading paper achievable region of the fading mimo broadcast channel"

Connected through hyperedge HE-4 (induced by source paper "analog matching of colored sources to colored channels"):
  with members:
    - "compute and forward harnessing interference through structured codes"
    - "joint wyner ziv dirty paper coding by modulo lattice modulation"
    - "robust joint source channel coding for delay limited applications"
    - "joint source channel coding with side information using hybrid digital analog codes"
    - "achieving the gaussian rate distortion function by prediction"

Connected through hyperedge HE-5 (induced by source paper "cyclic coded integer forcing equalization"):
  with members:
    - "integer forcing linear receivers"

Connected through hyperedge HE-6 (induced by source paper "achieving the gaussian rate distortion function by prediction"):
  with members:
    - "multiple description quantization via gram schmidt orthogonalization"

Connected through hyperedge HE-7 (induced by source paper "multiple description quantization via gram schmidt orthogonalization"):
  with members:
    - "successive wyner ziv coding scheme and its application to the quadratic gaussian ceo problem"
    - "robust distributed source coding"
    - "on the role of mmse estimation in approaching the information theoretic limits of linear gaussian channels shannon meets wiener"
    - "index assignment for multichannel communication under failure"

Connected through hyperedge HE-8 (induced by source paper "randomly spread cdma asymptotics via statistical physics"):
  with members:
    - "mutual information and minimum mean square error in gaussian channels"

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)