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: "eigen based transceivers for the mimo broadcast channel with semi orthogonal user selection"
  Abstract: This paper studies the sum rate performance of two low complexity eigenmode-based transmission techniques for the MIMO broadcast channel, employing greedy semi-orthogonal user selection (SUS). The first approach, termed ZFDPC-SUS, is based on zero-forcing dirty paper coding; the second approach, termed ZFBF-SUS, is based on zero-forcing beamforming. We first employ new analytical methods to prove that as the number of users K grows large, the ZFDPC-SUS approach can achieve the optimal sum rate scaling of the MIMO broadcast channel. We also prove that the average sum rates of both techniques converge to the average sum capacity of the MIMO broadcast channel for large K. In addition to the asymptotic analysis, we investigate the sum rates achieved by ZFDPC-SUS and ZFBF-SUS for finite K , and show that ZFDPC-SUS has significant performance advantages. Our results also provide key insights into the benefit of multiple receive antennas, and the effect of the SUS algorithm. In particular, we show that whilst multiple receive antennas only improves the asymptotic sum rate scaling via the second-order behavior of the multi-user diversity gain; for finite K, the benefit can be very significant. We also show the interesting result that the semi-orthogonality constraint imposed by SUS, whilst facilitating a very low complexity user selection procedure, asymptotically does not reduce the multi-user diversity gain in either first ( K) or second-order (K) terms.

Connected through hyperedge HE-1 (induced by source paper "an overview on resource allocation techniques for multi user mimo systems"):
  with members:
    - "low complexity downlink user selection for massive mimo systems"
    - "alternating minimization algorithms for hybrid precoding in millimeter wave mimo systems"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "user association in 5g networks a survey and an outlook"
    - "cell free massive mimo versus small cells"
    - "mu mimo mac protocols for wireless local area networks a survey"
    - "on the number of rf chains and phase shifters and scheduling design with hybrid analog digital beamforming"
    - "hybrid digital and analog beamforming design for large scale antenna arrays"

Connected through hyperedge HE-2 (induced by source paper "tomlinson harashima precoding for multiuser mimo systems with quantized csi feedback and user scheduling"):
  with members:
    - "robust transceiver with tomlinson harashima precoding for amplify and forward mimo relaying systems"
    - "antenna combining for the mimo downlink channel"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-3 (induced by source paper "quantized csi based tomlinson harashima precoding in multiuser mimo systems"):
  with members:
    - "adaptive bit partitioning for multicell intercell interference nulling with delayed limited feedback"
    - "adaptive limited feedback for sum rate maximizing beamforming in cooperative multicell systems"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-4 (induced by source paper "optimizing user selection schemes in vector broadcast channels"):
  with members:
    - "performance analysis of optimum zero forcing beamforming with greedy user selection"
    - "optimal selective feedback policies for opportunistic beamforming"

Connected through hyperedge HE-5 (induced by source paper "large system analysis of linear precoding in miso broadcast channels with confidential messages"):
  with members:
    - "principles of physical layer security in multiuser wireless networks a survey"
    - "secrecy sum rates with regularized channel inversion precoding under imperfect csi at the transmitter"
    - "linear precoding for broadcast channels with confidential messages under transmit side channel correlation"
    - "secrecy sum rates for multi user mimo regularized channel inversion precoding"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"
    - "rethinking the secrecy outage formulation a secure transmission design perspective"
    - "robust beamforming for security in mimo wiretap channels with imperfect csi"
    - "secure transmission with artificial noise over fading channels achievable rate and optimal power allocation"

Connected through hyperedge HE-6 (induced by source paper "secrecy sum rates for multi user mimo regularized channel inversion precoding"):
  with members:
    - "principles of physical layer security in multiuser wireless networks a survey"
    - "rethinking the secrecy outage formulation a secure transmission design perspective"
    - "robust beamforming for security in mimo wiretap channels with imperfect csi"
    - "secure transmission with artificial noise over fading channels achievable rate and optimal power allocation"
    - "sum rates rate allocation and user scheduling for multi user mimo vector perturbation precoding"
    - "the secrecy capacity region of the gaussian mimo multi receiver wiretap channel"

Connected through hyperedge HE-7 (induced by source paper "user scheduling for heterogeneous multiuser mimo systems a subspace viewpoint"):
  with members:
    - "sum rates rate allocation and user scheduling for multi user mimo vector perturbation precoding"
    - "limited feedback based block diagonalization for the mimo broadcast channel"
    - "on the user selection for mimo broadcast 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)