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: "optimal power allocation and user loading for multiuser miso channels with regularized channel inversion"
  Abstract: We consider a multiuser system where a single transmitter equipped with multiple antennas (the base station) communicates with multiple users each with a single antenna. Regularized channel inversion is employed as the precoding strategy at the base station. Within this scenario we are interested in the problems of power allocation and user admission control so as to maximize the system throughput, i.e., which users should we communicate with and what power should we use for each of the admitted users so as to get the highest sum rate. This is in general a very difficult problem but we do two things to allow some progress to be made. Firstly we consider the large system regime where the number of antennas at the base station is large along with the number of users. Secondly we cluster the downlink path gains of users into a finite number of groups. By doing this we are able to show that the optimal power allocation under an average transmit power constraint follows the well-known water filling scheme. We also investigate the user admission problem which reduces in the large system regime to optimization of the user loading in the system.

Connected through hyperedge HE-1 (induced by source paper "optimal multiuser loading in quantized massive mimo under spatially correlated channels"):
  with members:
    - "mixed adc dac multipair massive mimo relaying systems performance analysis and power optimization"
    - "on performance of quantized transceiver in multiuser massive mimo downlinks"
    - "massive mimo downlink 1 bit precoding with linear programming for psk signaling"
    - "analysis of one bit quantized precoding for the multiuser massive mimo downlink"
    - "downlink achievable rate analysis in massive mimo systems with one bit dacs"
    - "on the spectral efficiency of massive mimo systems with low resolution adcs"
    - "quantized precoding for massive mu mimo"
    - "massive mimo for next generation wireless systems"

Connected through hyperedge HE-2 (induced by source paper "symbol level and multicast precoding for multiuser multiantenna downlink a survey classification and challenges"):
  with members:
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "an overview on resource allocation techniques for multi user mimo systems"
    - "spatio temporal waveform design for multiuser massive mimo downlink with 1 bit receivers"
    - "joint beamforming and broadcasting in massive mimo"
    - "coordinate update algorithms for robust power loading for the mu miso downlink with outage constraints"
    - "energy efficient symbol level precoding in multiuser miso based on relaxed detection region"
    - "robust transmission in downlink multiuser miso systems a rate splitting approach"
    - "adaptive pilot clustering in heterogeneous massive mimo networks"

Connected through hyperedge HE-3 (induced by source paper "coordinated regularized zero forcing precoding for multicell miso systems with limited feedback"):
  with members:
    - "linear precoding based on polynomial expansion large scale multi cell mimo systems"
    - "large system analysis of cooperative multi cell downlink transmission via regularized channel inversion with imperfect csit"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"
    - "base station cooperation with feedback optimization a large system analysis"
    - "adaptive limited feedback for sum rate maximizing beamforming in cooperative multicell systems"
    - "adaptive spatial intercell interference cancellation in multicell wireless networks"
    - "mimo broadcast channels with finite rate feedback"
    - "on the user selection for mimo broadcast channels"

Connected through hyperedge HE-4 (induced by source paper "large system analysis of cognitive radio network via partially projected regularized zero forcing precoding"):
  with members:
    - "super resolution sparse mimo ofdm channel estimation based on spatial and temporal correlations"
    - "joint beamforming and power control in coordinated multicell max min duality effective network and large system transition"
    - "multi pair amplify and forward relaying with very large antenna arrays"
    - "large system analysis of cooperative multi cell downlink transmission via regularized channel inversion with imperfect csit"
    - "on capacity of large scale mimo multiple access channels with distributed sets of correlated antennas"
    - "large system analysis of linear precoding in miso broadcast channels with confidential messages"
    - "message passing algorithm for distributed downlink regularized zero forcing beamforming with cooperative base stations"
    - "random beamforming over quasi static and fading channels a deterministic equivalent approach"

Connected through hyperedge HE-5 (induced by source paper "large system analysis of the energy consumption distribution in multi user mimo systems with mobility"):
  with members:
    - "interference management in 5g reverse tdd hetnets with wireless backhaul a large system analysis"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "energy consumption in multi user mimo systems impact of user mobility"
    - "effects of mobility on user energy consumption and total throughput in a massive mimo system"
    - "optimal linear precoding in multi user mimo systems a large system analysis"
    - "optimal design of energy efficient multi user mimo systems is massive mimo the answer"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"

Connected through hyperedge HE-6 (induced by source paper "optimal linear precoding in multi user mimo systems a large system analysis"):
  with members:
    - "interference management in 5g reverse tdd hetnets with wireless backhaul a large system analysis"
    - "large system analysis of the energy consumption distribution in multi user mimo systems with mobility"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"
    - "robust monotonic optimization framework for multicell miso systems"
    - "fundamental tradeoffs on green wireless networks"
    - "base station cooperation on the downlink large system analysis"

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)