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: "on gaussian mimo bc mac duality with multiple transmit covariance constraints"
  Abstract: Owing to the structure of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC), associated optimization problems such as capacity region computation and beamforming optimization are typically non-convex, and cannot be solved directly. One feasible approach to these problems is to transform them into their dual multiple access channel (MAC) problems, which are easier to deal with due to their convexity properties. The conventional BC-MAC duality is established via BC-MAC signal transformation, and has been successfully applied to solve beamforming optimization, signal-to-interference-plus-noise ratio (SINR) balancing, and capacity region computation. However, this conventional duality approach is applicable only to the case, in which the base station (BS) of the BC is subject to a single sum power constraint. An alternative approach is minimax duality, established by Yu in the framework of Lagrange duality, which can be applied to solve the per-antenna power constraint problem. This paper extends the conventional BC-MAC duality to the general linear constraint case, and thereby establishes a general BC-MAC duality. This new duality is applied to solve the capacity computation and beamforming optimization for the MIMO and multiple-input single-output (MISO) BC, respectively, with multiple linear constraints. Moreover, the relationship between this new general BC-MAC duality and minimax duality is also presented. It is shown that the general BC-MAC duality offers more flexibility in solving BC optimization problems relative to minimax duality. Numerical results are provided to illustrate the effectiveness of the proposed algorithms.

Connected through hyperedge HE-1 (induced by source paper "the capacity and optimal signaling for gaussian mimo channels under interference constraints full version"):
  with members:
    - "the capacity of gaussian mimo channels under total and per antenna power constraints"
    - "resource management in non orthogonal multiple access networks for 5g and beyond"
    - "interference management in 5g reverse tdd hetnets with wireless backhaul a large system analysis"
    - "multiuser miso transmitter optimization for intercell interference mitigation"
    - "cooperative algorithms for mimo interference channels"
    - "dynamic resource allocation in cognitive radio networks"
    - "miso capacity with per antenna power constraint"
    - "capacity bounds for the gaussian interference channel"

Connected through hyperedge HE-2 (induced by source paper "specific absorption rate aware beamforming in miso downlink swipt systems"):
  with members:
    - "signal and system design for wireless power transfer prototype experiment and validation"
    - "fundamentals of wireless information and power transfer from rf energy harvester models to signal and system designs"
    - "a learning approach to wireless information and power transfer signal and system design"
    - "wireless information and power transfer over an awgn channel nonlinearity and asymmetric gaussian signaling"
    - "robust resource allocation for mimo wireless powered communication networks based on a non linear eh model"
    - "waveform design for wireless power transfer"
    - "wireless information and power transfer nonlinearity waveform design and rate energy tradeoff"
    - "safe and secure wireless power transfer networks challenges and opportunities in rf based systems"

Connected through hyperedge HE-3 (induced by source paper "beamforming techniques for non orthogonal multiple access in 5g cellular networks"):
  with members:
    - "exploiting multiple antenna techniques for non orthogonal multiple access"
    - "secure communications with cooperative jamming optimal power allocation and secrecy outage analysis"
    - "physical layer security jamming theoretical limits and practical designs in wireless networks"
    - "robust beamforming techniques for non orthogonal multiple access systems with bounded channel uncertainties"
    - "limited feedback scheme for device to device communications in 5g cellular networks with reliability and cellular secrecy outage constraints"
    - "design of massive mimo noma with limited feedback"
    - "a minorization maximization method for optimizing sum rate in the downlink of non orthogonal multiple access systems"
    - "the application of mimo to non orthogonal multiple access"

Connected through hyperedge HE-4 (induced by source paper "codebook based hybrid precoding for millimeter wave multiuser systems"):
  with members:
    - "distributed optimization of hierarchical small cell networks a gnep framework"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "energy efficient power control a look at 5g wireless technologies"
    - "energy efficiency optimization of 5g radio frequency chain systems"
    - "analysis of multi hop outdoor 60 ghz wireless networks with full duplex buffered relays"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "hybrid mimo architectures for millimeter wave communications phase shifters or switches"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"

Connected through hyperedge HE-5 (induced by source paper "constant envelope precoding for mimo systems"):
  with members:
    - "constant envelope precoding with adaptive receiver constellation in miso fading channel"
    - "constant envelope precoding with time variation constraint on the transmitted phase angles"
    - "designing unimodular codes via quadratic optimization"
    - "constant envelope multi user precoding for frequency selective massive mimo systems"
    - "per antenna constant envelope precoding for large multi user mimo systems"
    - "single user beamforming in large scale miso systems with per antenna constant envelope constraints the doughnut channel"
    - "cooperative multi cell block diagonalization with per base station power constraints"

Connected through hyperedge HE-6 (induced by source paper "dual link algorithm for the weighted sum rate maximization in mimo interference channels"):
  with members:
    - "the weighted sum rate maximization in mimo interference networks the minimax lagrangian duality and algorithm"
    - "mimo b mac interference network optimization under rate constraints by polite water filling and duality"
    - "duality polite water filling and optimization for mimo b mac interference networks and itree networks"
    - "multiuser miso transmitter optimization for intercell interference mitigation"
    - "mimo broadcast channel optimization under general linear constraints"
    - "weighted sum rate optimization for cognitive radio mimo broadcast channels"

Connected through hyperedge HE-7 (induced by source paper "constant envelope precoding with adaptive receiver constellation in miso fading channel"):
  with members:
    - "constant envelope precoding with time variation constraint on the transmitted phase angles"
    - "constant envelope multi user precoding for frequency selective massive mimo systems"
    - "per antenna constant envelope precoding for large multi user mimo systems"
    - "single user beamforming in large scale miso systems with per antenna constant envelope constraints the doughnut channel"
    - "cooperative multi cell block diagonalization with per base station power constraints"

Connected through hyperedge HE-8 (induced by source paper "how to diagonalize a mimo channel with arbitrary transmit covariance"):
  with members:
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio 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)