human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "large system analysis of joint user selection and vector precoding for multiuser mimo downlink"):
  Abstract: Joint user selection (US) and vector precoding (US-VP) is proposed for multiuser multiple-input multiple-output (MU-MIMO) downlink. The main difference between joint US-VP and conventional US is that US depends on data symbols for joint US-VP, whereas conventional US is independent of data symbols. The replica method is used to analyze the performance of joint US-VP in the large-system limit, where the numbers of transmit antennas, users, and selected users tend to infinity while their ratios are kept constant. The analysis under the assumptions of replica symmetry (RS) and 1-step replica symmetry breaking (1RSB) implies that optimal data-independent US provides nothing but the same performance as random US in the large-system limit, whereas data-independent US is capacity-achieving as only the number of users tends to infinity. It is shown that joint US -VP can provide a substantial reduction of the energy penalty in the large-system limit. Consequently, joint US-VP outperforms separate US-VP in terms of the achievable sum rate, which consists of a combination of vector precoding (VP) and data-independent US. In particular, data-dependent US can be applied to general modulation, and implemented with a greedy algorithm. Index Terms Multiuser multiple-input multiple-output (MU-MIMO) downlink, Multiple-input multiple-output broadcast channel ( MIMOBC), zero-forcing transmit beamforming, user selection, vector precoding, energy penalty, achievable rate, large-s ystem analysis, order statistics, statistical physics, replica method, re plica symmetry breaking (RSB).

Includes members:
  Member "large system analysis of joint channel and data estimation for mimo ds cdma systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "asymptotic optimality of massive mimo systems using densely spaced transmit antennas")
  Member "a greedy algorithm of data dependent user selection for fast fading gaussian vector broadcast channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "large system analysis of joint user selection and vector precoding with zero forcing transmit beamforming for mimo broadcast channels")
  Member "sum rates rate allocation and user scheduling for multi user mimo vector perturbation precoding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the throughput of large but finite mimo networks using schedulers")
  Member "tight bounds on the capacity of binary input random cdma systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimal errors and phase transitions in high dimensional generalized linear models")
  Member "asymptotic analysis of general multiuser detectors in mimo ds cdma channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "asymptotic performance analysis of a k hop amplify and forward relay mimo channel")
  Member "vector precoding for wireless mimo systems and its replica analysis":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "expectation propagation for approximate inference free probability framework")
  Member "analysis of cdma systems that are characterized by eigenvalue spectrum":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "spectral method for phase retrieval an expectation propagation perspective")
  Member "randomly spread cdma asymptotics via statistical physics":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "unsourced multiuser sparse regression codes achieve the symmetric mac capacity")

Question: Please tell me which class the source paper 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)