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: "phase noise compensation using limited reference symbols in 3gpp lte downlink"
  Abstract: It is known that phase noise (PN) can cause link performance to degrade severely in orthogonal frequency division multiplexing (OFDM) systems, such as IEEE 802.11, 3GPP LTE and 5G. As opposed to prior PN mitigation schemes that assume perfect channel information and/or abundant reference symbols (e.g., in 802.11), the proposed PN compensation technique applies to LTE and 5G downlink with a limited number of reference symbols. Specifically, in this work, we propose an efficient PN mitigation algorithm where the PN statistics are used to obtain more accurate channel estimates. Based on LTE downlink subframe structure, numerical results corroborate the effectiveness of the proposed algorithm.

Connected through hyperedge HE-1 (induced by source paper "unified receiver design in wireless relay networks using mixed integer programming techniques"):
  with members:
    - "joint turbo receiver for ldpc coded mimo systems based on semi definite relaxation"
    - "non iterative joint detection decoding receiver for ldpc coded mimo systems based on sdr"
    - "integrated semi definite relaxation receiver for ldpc coded mimo systems"
    - "semidefinite relaxation based blind equalization using constant modulus criterion"

Connected through hyperedge HE-2 (induced by source paper "joint turbo receiver for ldpc coded mimo systems based on semi definite relaxation"):
  with members:
    - "the equivalence of semidefinite relaxation mimo detectors for higher order qam"

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)