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: "optimal power splitting for simultaneous information detection and energy harvesting"
  Abstract: This letter deals with the joint information and energy processing at a receiver of a point-to-point communication channel. In particular, the trade-off between the achievable information rate and harvested energy for a multiple-antenna power splitting (PS) receiver is investigated. Here, the rate- energy region characterization is of particular interest, which is intrinsically a non-convex problem. In this letter, an efficient algorithm is proposed for obtaining an approximate solution to the problem in polynomial time. This algorithm is mainly based on the Taylor approximation in conjunction with semidefinite relaxation (SDR) which is solved by interior-point methods. Moreover, we utilize the Gaussian randomization procedure to obtain a feasible solution for the original problem. It is shown that by proper receiver design the rate-energy region can be significantly enlarged compared to the state of the art, while at the same time the receiver hardware costs is reduced by utilizing less number of energy harvesting circuitry.

Connected through hyperedge HE-1 (induced by source paper "secrecy rate region of swipt wiretap interference channels"):
  with members:
    - "joint power control in wiretap interference channels"
    - "multiobjective signal processing optimization the way to balance conflicting metrics in 5g systems"
    - "optimal relay selection for physical layer security in cooperative wireless networks"
    - "wireless information and power transfer a dynamic power splitting approach"
    - "discrete memoryless interference and broadcast channels with confidential messages secrecy rate regions"
    - "the gaussian multiple access wire tap channel"

Connected through hyperedge HE-2 (induced by source paper "towards optimal energy harvesting receiver design in mimo systems"):
  with members:
    - "simultaneous wireless information and power transfer in modern communication systems"
    - "joint transmit beamforming and receive power splitting for miso swipt systems"
    - "wireless information and power transfer a dynamic power splitting approach"
    - "mimo broadcasting for simultaneous wireless information and power transfer"

Connected through hyperedge HE-3 (induced by source paper "heterogeneous multi tier networks improper signaling for joint rate energy optimization"):
  with members:
    - "improper signaling and symbol extensions how far can we go with gaussian p2p codebooks in the interfering mac with tin"
    - "wireless powered communication opportunities and challenges"
    - "all digital self interference cancellation technique for full duplex systems"
    - "multiobjective signal processing optimization the way to balance conflicting metrics in 5g systems"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "design and characterization of a full duplex multiantenna system for wifi networks"
    - "optimized transmission with improper gaussian signaling in the k user miso interference channel"
    - "transmit optimization with improper gaussian signaling for interference channels"

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)