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: "coordinated multicast beamforming in multicell networks"
  Abstract: We study physical layer multicasting in multicell networks where each base station, equipped with multiple antennas, transmits a common message using a single beamformer to multiple users in the same cell. We investigate two coordinated beamforming designs: the quality-of-service (QoS) beamforming and the max-min SINR (signal-to-interference-plus-noise ratio) beamforming. The goal of the QoS beamforming is to minimize the total power consumption while guaranteeing that received SINR at each user is above a predetermined threshold. We present a necessary condition for the optimization problem to be feasible. Then, based on the decomposition theory, we propose a novel decentralized algorithm to implement the coordinated beamforming with limited information sharing among different base stations. The algorithm is guaranteed to converge and in most cases it converges to the optimal solution. The max-min SINR (MMS) beamforming is to maximize the minimum received SINR among all users under per-base station power constraints. We show that the MMS problem and a weighted peak-power minimization (WPPM) problem are inverse problems. Based on this inversion relationship, we then propose an efficient algorithm to solve the MMS problem in an approximate manner. Simulation results demonstrate significant advantages of the proposed multicast beamforming algorithms over conventional multicasting schemes.

Connected through hyperedge HE-1 (induced by source paper "multi antenna coded content delivery with caching a low complexity solution"):
  with members:
    - "a low complexity cache aided multi antenna content delivery scheme"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "opportunistic content delivery in fading broadcast channels"
    - "cache aided content delivery over erasure broadcast channels"
    - "caching and coded delivery over gaussian broadcast channels for energy efficiency"
    - "edge caching wireless networks performance analysis and optimization"
    - "multi antenna interference management for coded caching"
    - "scalable content delivery with coded caching in multi antenna fading channels"

Connected through hyperedge HE-2 (induced by source paper "non orthogonal unicast and broadcast transmission via joint beamforming and ldm in cellular networks"):
  with members:
    - "distributed optimization for coordinated beamforming in multicell multigroup multicast systems power minimization and sinr balancing"
    - "rate splitting for multi antenna non orthogonal unicast and multicast transmission spectral and energy efficiency analysis"
    - "joint beamforming and broadcasting in massive mimo"
    - "admm based fast algorithm for multi group multicast beamforming in large scale wireless systems"
    - "celltv on the benefit of tv distribution over cellular networks a case study"
    - "distributed robust multicell coordinated beamforming with imperfect csi an admm approach"
    - "robust linear precoder design for multi cell downlink transmission"

Connected through hyperedge HE-3 (induced by source paper "a low complexity cache aided multi antenna content delivery scheme"):
  with members:
    - "caching and coded delivery over gaussian broadcast channels for energy efficiency"
    - "multi antenna interference management for coded caching"
    - "physical layer schemes for wireless coded caching"
    - "fundamental limits of caching"

Connected through hyperedge HE-4 (induced by source paper "energy efficient multicell multigroup multicasting with joint beamforming and antenna selection"):
  with members:
    - "distributed optimization for coordinated beamforming in multicell multigroup multicast systems power minimization and sinr balancing"
    - "energy efficient joint unicast and multicast beamforming with multi antenna user terminals"
    - "energy efficient beam coordination strategies with rate dependent processing power"
    - "conic quadratic formulations for wireless communications design"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "multicast multigroup precoding and user scheduling for frame based satellite communications"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"
    - "optimal design of energy efficient multi user mimo systems is massive mimo the answer"

Connected through hyperedge HE-5 (induced by source paper "distributed optimization for coordinated beamforming in multicell multigroup multicast systems power minimization and sinr balancing"):
  with members:
    - "energy efficient beam coordination strategies with rate dependent processing power"
    - "cooperative channel estimation for coordinated transmission with limited backhaul"
    - "distributed coordinated beamforming for multi cell multigroup multicast systems"
    - "precoding in multibeam satellite communications present and future challenges"
    - "multicast multigroup precoding and user scheduling for frame based satellite communications"
    - "multicast multigroup beamforming under per antenna power constraints"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"
    - "distributed robust multicell coordinated beamforming with imperfect csi an admm approach"

Connected through hyperedge HE-6 (induced by source paper "beamforming design for max min fair swipt in green cloud ran with wireless fronthaul"):
  with members:
    - "energy throughput tradeoff in sustainable cloud ran with energy harvesting"
    - "joint millimeter wave fronthaul and ofdma resource allocation in ultra dense cran"
    - "greendelivery proactive content caching and push with energy harvesting based small cells"
    - "secure and green swipt in distributed antenna networks with limited backhaul capacity"
    - "multiuser miso beamforming for simultaneous wireless information and power transfer"
    - "sparse beamforming and user centric clustering for downlink cloud radio access network"
    - "group sparse beamforming for green cloud ran"

Connected through hyperedge HE-7 (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"
    - "multicast multigroup beamforming for per antenna power constrained large scale arrays"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"
    - "scaling up mimo opportunities and challenges with very large arrays"

Connected through hyperedge HE-8 (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"

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)