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: "resource allocation for coordinated multipoint networks with wireless information and power transfer"
  Abstract: This paper studies the resource allocation algorithm design for multiuser coordinated multipoint (CoMP) networks with simultaneous wireless information and power transfer (SWIPT). In particular, remote radio heads (RRHs) are connected to a central processor (CP) via capacity-limited backhaul links to facilitate CoMP joint transmission. Besides, the CP transfers energy to the RRHs for more efficient network operation. The considered resource allocation algorithm design is formulated as a non-convex optimization problem with a minimum required signal-to-interference-plus-noise ratio (SINR) constraint at multiple information receivers and a minimum required power transfer constraint at the energy harvesting receivers. By optimizing the transmit beamforming vectors at the CP and energy sharing between the CP and the RRHs, we aim at jointly minimizing the total network transmit power and the maximum capacity consumption per backhaul link. The resulting non-convex optimization problem is NP-hard. In light of the intractability of the problem, we reformulate it by replacing the non-convex objective function with its convex hull, which enables the derivation of an efficient iterative resource allocation algorithm. In each iteration, a non-convex optimization problem is solved by semi-definite programming (SDP) relaxation and the proposed iterative algorithm converges to a local optimal solution of the original problem. Simulation results illustrate that our proposed algorithm achieves a close-to-optimal performance and provides a significant reduction in backhaul capacity consumption compared to full cooperation. Besides, the considered CoMP network is shown to provide superior system performance as far as power consumption is concerned compared to a traditional system with multiple antennas co-located.

Connected through hyperedge HE-1 (induced by source paper "joint moo of transmit precoding and receiver design in a downlink time switching miso swipt system"):
  with members:
    - "multi objective beamforming for energy efficient swipt systems"
    - "wireless powered communication opportunities and challenges"
    - "training based swipt optimal power splitting at the receiver"
    - "joint transmit beamforming and receive power splitting for miso swipt systems"
    - "wireless information and power transfer a dynamic power splitting approach"
    - "wireless information transfer with opportunistic energy harvesting"
    - "mimo broadcasting for simultaneous wireless information and power transfer"

Connected through hyperedge HE-2 (induced by source paper "green wireless power transfer networks"):
  with members:
    - "resource allocation in wireless networks with rf energy harvesting and transfer"
    - "wireless powered communication opportunities and challenges"
    - "wireless charger networking for mobile devices fundamentals standards and applications"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "simultaneous information and energy transfer in large scale networks with without relaying"
    - "dynamic resource allocation for multiple antenna wireless power transfer"
    - "throughput maximization in wireless powered communication networks"
    - "wireless information and power transfer a dynamic power splitting approach"

Connected through hyperedge HE-3 (induced by source paper "secure and green swipt in distributed antenna networks with limited backhaul capacity"):
  with members:
    - "energy efficient resource assignment and power allocation in heterogeneous cloud radio access networks"
    - "comp meets smart grid a new communication and energy cooperation paradigm"
    - "enhancing wireless information and power transfer by exploiting multi antenna techniques"
    - "robust beamforming for secure communication in systems with wireless information and power transfer"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"
    - "simultaneous wireless information and power transfer in modern communication systems"
    - "max min fair wireless energy transfer for secure multiuser communication systems"
    - "secrecy wireless information and power transfer with miso beamforming"

Connected through hyperedge HE-4 (induced by source paper "joint resource optimization for multicell networks with wireless energy harvesting relays"):
  with members:
    - "wireless powered relays in cooperative communications time switching relaying protocols and throughput analysis"
    - "distributed power splitting for swipt in relay interference channels using game theory"
    - "cutting last wires for mobile communication by microwave power transfer"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "power allocation strategies in energy harvesting wireless cooperative networks"
    - "what will 5g be"
    - "cooperative energy harvesting networks with spatially random users"
    - "simultaneous information and power transfer for broadband wireless 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)