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: "achievable dof regions of mimo networks with imperfect csit"
  Abstract: We focus on a two-receiver Multiple-Input-Multiple-Output (MIMO) Broadcast Channel (BC) and Interference Channel (IC) with an arbitrary number of antennas at each node. We assume an imperfect knowledge of local Channel State Information at the Transmitters (CSIT), whose error decays with the Signal-to-Noise-Ratio. With such configuration, we characterize the achievable Degrees-of-Freedom (DoF) regions in both BC and IC, by proposing a Rate-Splitting approach, which divides each receiver's message into a common part and a private part. Compared to the RS scheme designed for the symmetric MIMO case, this scheme is suitable for the general asymmetric deployment with an arbitrary number of antennas at each node. In BC, the proposed block 1) employs an unequal power allocation to the private messages of the two receivers, 2) exploits the benefit of having an extra spatial dimension at one receiver, and 3) is carried out with a Space-Time transmission. These features enable the scheme to yield a greater DoF region than trivially extending the scheme designed for the symmetric case. In IC, we modify the scheme proposed for the BC case by applying a linear transformation to the channel matrices. Such a linear transformation allows us to identify the signal space where the two transmitted signals interfere with each other and propose a proper power allocation policy. The achievable DoF regions are shown to be optimal for some antenna configurations.

Connected through hyperedge HE-1 (induced by source paper "study of linear precoding and stream combining for rate splitting in mu mimo systems"):
  with members:
    - "rate splitting multiple access for downlink communication systems bridging generalizing and outperforming sdma and noma"
    - "widely linear precoding for large scale mimo with iqi algorithms and performance analysis"
    - "sum rate maximization for linearly precoded downlink multiuser miso systems with partial csit a rate splitting approach"
    - "iterative detection and decoding algorithms for mimo systems in block fading channels using ldpc codes"
    - "robust transmission in downlink multiuser miso systems a rate splitting approach"
    - "rate splitting for mimo wireless networks a promising phy layer strategy for lte evolution"
    - "rate analysis of two receiver miso broadcast channel with finite rate feedback a rate splitting approach"

Connected through hyperedge HE-2 (induced by source paper "dof region of the decentralized mimo broadcast channel unicode x2014 how many informed antennas do we need"):
  with members:
    - "sum set inequalities from aligned image sets instruments for robust gdof bounds"
    - "on the degrees of freedom of the k user distributed broadcast channel"
    - "degrees of freedom of the two user mimo broadcast channel with private and common messages under hybrid csit models"
    - "generalized degrees of freedom of the symmetric k user interference channel under finite precision csit"
    - "sum capacity of interference channels with a local view impact of distributed decisions"
    - "completely stale transmitter channel state information is still very useful"
    - "the two user gaussian interference channel a deterministic view"

Connected through hyperedge HE-3 (induced by source paper "on the separability of parallel miso broadcast channels under partial csit a degrees of freedom region perspective"):
  with members:
    - "degrees of freedom region of the m n 1 n 2 mimo broadcast channel with partial csit an application of sum set inequalities based on aligned image sets"
    - "towards an extremal network theory robust gdof gain of transmitter cooperation over tin"
    - "dof region of the miso bc with partial csit proof by inductive fourier motzkin elimination"
    - "optimality of simple layered superposition coding in the 3 user miso bc with finite precision csit"
    - "on the optimality of treating inter cell interference as noise in uplink cellular networks"
    - "on the dof of parallel miso bcs with partial csit total order and separability"
    - "optimal dof region of the k user miso bc with partial csit"
    - "elevated multiplexing and signal space partitioning in the 2 user mimo ic with partial csit"

Connected through hyperedge HE-4 (induced by source paper "beyond dirty paper coding for multi antenna broadcast channel with partial csit a rate splitting approach"):
  with members:
    - "cooperative rate splitting for miso broadcast channel with user relaying and performance benefits over cooperative noma"
    - "rate splitting for multi user multi antenna wireless information and power transfer"
    - "dof region of the miso bc with partial csit proof by inductive fourier motzkin elimination"
    - "rate splitting unifying sdma oma noma and multicasting in miso broadcast channel a simple two user rate analysis"
    - "energy efficiency of rate splitting multiple access and performance benefits over sdma and noma"
    - "rate splitting multiple access for coordinated multi point joint transmission"
    - "rate splitting for multi antenna non orthogonal unicast and multicast transmission"
    - "rate splitting multiple access for downlink communication systems bridging generalizing and outperforming sdma and noma"

Connected through hyperedge HE-5 (induced by source paper "study of rate splitting techniques with block diagonalization for multiuser mimo systems"):
  with members:
    - "widely linear precoding for large scale mimo with iqi algorithms and performance analysis"
    - "sum rate maximization for linearly precoded downlink multiuser miso systems with partial csit a rate splitting approach"
    - "iterative detection and decoding algorithms for mimo systems in block fading channels using ldpc codes"
    - "miso networks with imperfect csit a topological rate splitting approach"
    - "robust transmission in downlink multiuser miso systems a rate splitting approach"
    - "rate splitting for mimo wireless networks a promising phy layer strategy for lte evolution"
    - "a rate splitting strategy for massive mimo with imperfect csit"
    - "rate analysis of two receiver miso broadcast channel with finite rate feedback a rate splitting approach"

Connected through hyperedge HE-6 (induced by source paper "degrees of freedom region of the m n 1 n 2 mimo broadcast channel with partial csit an application of sum set inequalities based on aligned image sets"):
  with members:
    - "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
    - "sum set inequalities from aligned image sets instruments for robust gdof bounds"
    - "degrees of freedom of the two user mimo broadcast channel with private and common messages under hybrid csit models"
    - "on the capacity of fading mimo broadcast channels with imperfect transmitter side information"

Connected through hyperedge HE-7 (induced by source paper "rate splitting for multi antenna non orthogonal unicast and multicast transmission spectral and energy efficiency analysis"):
  with members:
    - "energy efficiency of rate splitting multiple access and performance benefits over sdma and noma"
    - "rate splitting multiple access for coordinated multi point joint transmission"
    - "rate splitting for multi antenna non orthogonal unicast and multicast transmission"
    - "gaussian message passing for overloaded massive mimo noma"
    - "rate splitting multiple access for downlink communication systems bridging generalizing and outperforming sdma and noma"
    - "rate splitting for max min fair multigroup multicast beamforming in overloaded systems"
    - "optimal dof region of the k user miso bc with partial csit"
    - "generalized multicast multibeam precoding for satellite communications"

Connected through hyperedge HE-8 (induced by source paper "rate splitting multiple access for downlink communication systems bridging generalizing and outperforming sdma and noma"):
  with members:
    - "rate splitting for max min fair multigroup multicast beamforming in overloaded systems"
    - "optimal dof region of the k user miso bc with partial csit"
    - "multiuser millimeter wave beamforming strategies with quantized and statistical csit"
    - "rate splitting to mitigate residual transceiver hardware impairments in massive mimo systems"
    - "capacity comparison between mimo noma and mimo oma with multiple users in a cluster"
    - "sum rate maximization for linearly precoded downlink multiuser miso systems with partial csit a rate splitting approach"
    - "miso networks with imperfect csit a topological rate splitting approach"
    - "robust transmission in downlink multiuser miso systems a rate splitting approach"

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)