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: "multi objective optimization for power efficient full duplex wireless communication systems"
  Abstract: In this paper, we investigate power efficient resource allocation algorithm design for multiuser wireless communication systems employing a full-duplex (FD) radio base station for serving multiple half-duplex (HD) downlink and uplink users simultaneously. We propose a multi-objective optimization framework for achieving two conflicting yet desirable system design objectives, i.e., total downlink transmit power minimization and total uplink transmit power minimization, while guaranteeing the quality-of-service of all users. To this end, the weighted Tchebycheff method is adopted to formulate a multi-objective optimization problem (MOOP). Although the considered MOOP is non-convex, we solve it optimally by semidefinite programming relaxation. Simulation results not only unveil the trade-off between the total downlink and the total uplink transmit power, but also confirm that the proposed FD system provides substantial power savings over traditional HD systems.

Connected through hyperedge HE-1 (induced by source paper "interference exploitation in full duplex communications trading interference power for both uplink and downlink power savings"):
  with members:
    - "probabilistically robust swipt for secrecy misome systems"
    - "unraveling the rank one solution mystery of robust miso downlink transmit optimization a verifiable sufficient condition via a new duality result"
    - "transmit precoding for interference exploitation in the underlay cognitive radio z channel"
    - "energy efficient symbol level precoding in multiuser miso based on relaxed detection region"
    - "symbol level multiuser miso precoding for multi level adaptive modulation"
    - "multi objective resource allocation in full duplex swipt systems"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"

Connected through hyperedge HE-2 (induced by source paper "multi objective resource allocation in full duplex swipt systems"):
  with members:
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "enhancing wireless information and power transfer by exploiting multi antenna techniques"
    - "on the spectral efficiency of full duplex small cell wireless systems"
    - "optimal resource allocation in full duplex wireless powered communication network"
    - "simultaneous wireless information and power transfer in modern communication systems"
    - "multiuser miso beamforming for simultaneous wireless information and power transfer"
    - "wireless information and power transfer with full duplex relaying"
    - "energy efficient optimization for wireless information and power transfer in large scale mimo systems employing energy beamforming"

Connected through hyperedge HE-3 (induced by source paper "multi objective optimization for robust power efficient and secure full duplex wireless communication systems"):
  with members:
    - "linear precoding of data and artificial noise in secure massive mimo systems"
    - "multi antenna relay aided wireless physical layer security"
    - "resource allocation in full duplex communications for future wireless networks"
    - "multipair full duplex relaying with massive arrays and linear processing"
    - "robust beamforming for secure communication in systems with wireless information and power transfer"
    - "on the spectral efficiency of full duplex small cell wireless systems"
    - "low complexity end to end performance optimization in mimo full duplex relay systems"
    - "improving physical layer secrecy using full duplex jamming receivers"

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)