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: "full frequency reuse multibeam satcoms frame based precoding and user scheduling"
  Abstract: The practical optimization of the forward link of a broadband multibeam satellite that aggressively reuses the frequency resources, is the focus of the present work. Herein, two fundamental practical challenges, namely the need to frame multiple users in a single transmission and the per-antenna transmit power limitations, are addressed. To this end, the so-called frame based precoding problem is optimally solved using the principles of physical layer multicasting to multiple co-channel groups under per-antenna constraints. In this context, a novel optimization problem that aims at maximizing the system sum rate under individual power constraints is proposed. Added to that, the formulation is further extended to include availability constraints. As a result, the high gains of the sum rate optimal design are traded off to satisfy the stringent availability requirements of satellite systems. Moreover, the elaborate throughput maximization, that acknowledges the finite granularity of the spectral efficiency to SINR mapping, is formulated and solved. Finally, a multicast aware user scheduling policy, based on the channel state information, is developed. Therefore, the gains of the rich in multiuser diversity broadband satellite systems are gleaned. Numerical results over a realistic simulation environment exhibit as much as 30% gains over conventional systems, even for 7 users per frame, without modifying the framing structure of legacy communication standards and with guaranteed service availability over the coverage.

Connected through hyperedge HE-1 (induced by source paper "energy efficient symbol level precoding in multiuser miso based on relaxed detection region"):
  with members:
    - "symbol level multiuser miso precoding for multi level adaptive modulation a multicast view"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"
    - "energy efficient symbol level precoding in multiuser miso channels"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "multicast multigroup precoding and user scheduling for frame based satellite communications"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "a multicast approach for constructive interference precoding in miso downlink channel"

Connected through hyperedge HE-2 (induced by source paper "precoding in multibeam satellite communications present and future challenges"):
  with members:
    - "multicast multigroup precoding and user scheduling for frame based satellite communications"
    - "sum rate maximizing multigroup multicast beamforming under per antenna power constraints"
    - "frame based precoding in satellite communications a multicast approach"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"
    - "gateway switching in q v band satellite feeder links"
    - "multi gateway cooperation in multibeam satellite systems"

Connected through hyperedge HE-3 (induced by source paper "dvb s2x enabled precoding for high throughput satellite systems"):
  with members:
    - "frame based precoding in satellite communications a multicast approach"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"
    - "gateway switching in q v band satellite feeder links"
    - "generic optimization of linear precoding in multibeam satellite systems"

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)