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: "multicast multigroup beamforming for per antenna power constrained large scale arrays"
  Abstract: Large in the number of transmit elements, multi-antenna arrays with per-element limitations are in the focus of the present work. In this context, physical layer multigroup multicasting under per-antenna power constrains, is investigated herein. To address this complex optimization problem low-complexity alternatives to semi-definite relaxation are proposed. The goal is to optimize the per-antenna power constrained transmitter in a maximum fairness sense, which is formulated as a non-convex quadratically constrained quadratic problem. Therefore, the recently developed tool of feasible point pursuit and successive convex approximation is extended to account for practical per-antenna power constraints. Interestingly, the novel iterative method exhibits not only superior performance in terms of approaching the relaxed upper bound but also a significant complexity reduction, as the dimensions of the optimization variables increase. Consequently, multicast multigroup beamforming for large-scale array transmitters with per-antenna dedicated amplifiers is rendered computationally efficient and accurate. A preliminary performance evaluation in large-scale systems for which the semi-definite relaxation constantly yields non rank-1 solutions is presented.

Connected through hyperedge HE-1 (induced by source paper "optimizations with intelligent reflecting surfaces irss in 6g wireless networks power control quality of service max min fair beamforming for unicast broadcast and multicast with multi antenna mobile users and multiple irss"):
  with members:
    - "over the air computation via intelligent reflecting surfaces"
    - "miso wireless communication systems via intelligent reflecting surfaces"
    - "cascaded channel estimation for large intelligent metasurface assisted massive mimo"
    - "reflection probability in wireless networks with metasurface coated environmental objects an approach based on random spatial processes"
    - "an interpretable neural network for configuring programmable wireless environments"
    - "beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts"
    - "weighted sum power maximization for intelligent reflecting surface aided swipt"
    - "enabling large intelligent surfaces with compressive sensing and deep learning"

Connected through hyperedge HE-2 (induced by source paper "joint unicast and multi group multicast transmission in massive mimo systems"):
  with members:
    - "large system analysis of power normalization techniques in massive mimo"
    - "hybrid precoding for multi group physical layer multicasting"
    - "max min fair transmit precoding for multi group multicasting in massive mimo"
    - "multigroup multicast precoding in massive mimo"
    - "reducing the computational complexity of multicasting in large scale antenna systems"
    - "joint beamforming and broadcasting in massive mimo"
    - "hybrid precoding for physical layer multicasting"
    - "on the spectral efficiency and security enhancements of noma assisted multicast unicast streaming"

Connected through hyperedge HE-3 (induced by source paper "joint multicast beamforming and user scheduling in large scale antenna systems"):
  with members:
    - "coordinated multicell multicast beamforming based on manifold optimization"
    - "coordinated multicasting with opportunistic user selection in multicell wireless systems"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "coordinated multicast beamforming in multicell networks"

Connected through hyperedge HE-4 (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-5 (induced by source paper "rate splitting for max min fair multigroup multicast beamforming in overloaded systems"):
  with members:
    - "generalized multicast multibeam precoding for satellite communications"
    - "an overview on resource allocation techniques for multi user mimo systems"
    - "elevated multiplexing and signal space partitioning in the 2 user mimo ic with partial csit"
    - "sum rate maximization for linearly precoded downlink multiuser miso systems with partial csit a rate splitting approach"
    - "robust transmission in downlink multiuser miso systems a rate splitting approach"
    - "a rate splitting strategy for max min fair multigroup multicasting"
    - "overloaded multiuser miso transmission with imperfect csit"
    - "rate splitting for mimo wireless networks a promising phy layer strategy for lte evolution"

Connected through hyperedge HE-6 (induced by source paper "max min fair transmit precoding for multi group multicasting in massive mimo"):
  with members:
    - "large system analysis of power normalization techniques in massive mimo"
    - "multigroup multicast precoding in massive mimo"
    - "reducing the computational complexity of multicasting in large scale antenna systems"
    - "joint beamforming and broadcasting in massive mimo"
    - "no downlink pilots are needed in tdd massive mimo"
    - "massive mimo ten myths and one critical question"
    - "massive mimo performance evaluation based on measured propagation data"
    - "massive mimo multicasting in noncooperative cellular networks"

Connected through hyperedge HE-7 (induced by source paper "reducing the computational complexity of multicasting in large scale antenna systems"):
  with members:
    - "energy efficient downlink transmission for multicell massive das with pilot contamination"
    - "a robust design for miso physical layer multicasting over line of sight channels"
    - "massive mimo multicasting in noncooperative cellular networks"
    - "what will 5g be"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"
    - "physical layer multicasting by stochastic transmit beamforming and alamouti space time coding"
    - "waveform design for secure siso transmissions and multicasting"
    - "coordinated multicast beamforming in multicell networks"

Connected through hyperedge HE-8 (induced by source paper "admm based fast algorithm for multi group multicast beamforming in large scale wireless systems"):
  with members:
    - "cooperative tx rx caching in interference channels a storage latency tradeoff study"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "large scale convex optimization for dense wireless cooperative networks"
    - "dynamic radio cooperation for downlink cloud rans with computing resource sharing"
    - "massive mimo multicasting in noncooperative cellular networks"
    - "what will 5g be"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"
    - "base station activation and linear transceiver design for optimal resource management in heterogeneous networks"

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)