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 "optimal feedback rate sharing strategy in zero forcing mimo broadcast channels"):
  Abstract: In this paper, we consider a multiple-input multiple-output broadcast channel with limited feedback where all users share the feedback rates. Firstly, we find the optimal feedback rate sharing strategy using zero-forcing transmission scheme at the transmitter and random vector quantization at each user. We mathematically prove that equal sharing of sum feedback size among all users is the optimal strategy in the low signal-to-noise ratio (SNR) region, while allocating whole feedback size to a single user is the optimal strategy in the high SNR region. For the mid-SNR region, we propose a simple numerical method to find the optimal feedback rate sharing strategy based on our analysis and show that the equal allocation of sum feedback rate to a partial number of users is the optimal strategy. It is also shown that the proposed simple numerical method can be applicable to finding the optimal feedback rate sharing strategy when different path losses of the users are taken into account. Our proposed feedback rate sharing scheme can be extended to the system with stream control and is still useful for the systems with other techniques such as regularized zero-forcing and spherical cap codebook.

Includes members:
  Member "an analytical framework for heterogeneous partial feedback design in heterogeneous multicell ofdma networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a distributed optimization framework for multi channel multi user small cell networks")
  Member "random beamforming with heterogeneous users and selective feedback individual sum rate and individual scaling laws":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fair scheduling policies exploiting multiuser diversity in cellular systems with device to device communications")
  Member "multi user diversity vs accurate channel state information in mimo downlink channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "delay performance of the multiuser miso downlink under imperfect csi and finite length coding")
  Member "stochastic control of event driven feedback in multiantenna interference channels":
    also connected through other hyperedges:
      (none)
  Member "a scalable limited feedback design for network mimo using per cell product codebook":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "robust regularized zf in cooperative broadcast channel under distributed csit")
  Member "mode switching for the multi antenna broadcast channel based on delay and channel quantization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "delay performance of the multiuser miso downlink under imperfect csi and finite length coding")
  Member "adaptive limited feedback for sum rate maximizing beamforming in cooperative multicell systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "rate splitting for multi antenna downlink precoder design and practical implementation")
  Member "limited feedback based block diagonalization for the mimo broadcast channel":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "mimo amplify and forward precoding for networked control systems")

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)