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: "limited feedback mu massive miso systems with differential tcq in temporally correlated channels"
  Abstract: We propose a differential trellis coded quantization (TCQ) scheme for limited feedback massive multiple-input single-output (MISO) frequency division duplexed systems in temporally correlated channels. We consider the multi-user (MU) scenario and derive an approximation to the expected signal-to-interference-plus-noise ratio (SINR) with random vector quantization (RVQ) based codebook channel direction information (CDI) and a matched-filter (MF) precoding scheme at the base station (BS). Using the expected SINR approximation, we show that the number of bits required by the RVQ codebook to match even a small fraction of the perfect CDI SINR performance is very large. With such large numbers of bits, the exhaustive search required by conventional codebook approaches makes them impractical for massive MISO systems. This motivates the proposed differential TCQ scheme that uses a conventional TCQ approach to quantize the channel vector at each user with QPSK as a source constellation. Utilizing temporal correlation present in the channel, we transform the QPSK constellation at each stage in a trellis using 2D translation and scaling techniques, such that the QPSK constellation centers around the previously selected constellation point. We derive a scaling parameter for the QPSK constellation as a function of the temporal correlation and the number of BS antennas. Simulation results show that the proposed differential TCQ scheme outperforms the existing differential noncoherent TCQ (NTCQ) method, by improving the sum rate and reducing the feedback overhead of the system in temporally correlated 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)