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: "joint resource optimization for multicell networks with wireless energy harvesting relays"
  Abstract: This paper first considers a multicell network deployment where the base station (BS) of each cell communicates with its cell-edge user with the assistance of an amplify-and-forward (AF) relay node. Equipped with a power splitter and a wireless energy harvester, the self-sustaining relay scavenges radio frequency (RF) energy from the received signals to process and forward the information. Our aim is to develop a resource allocation scheme that jointly optimizes (i) BS transmit powers, (ii) received power splitting factors for energy harvesting and information processing at the relays, and (iii) relay transmit powers. In the face of strong intercell interference and limited radio resources, we formulate three highly-nonconvex problems with the objectives of sum-rate maximization, max-min throughput fairness and sum-power minimization. To solve such challenging problems, we propose to apply the successive convex approximation (SCA) approach and devise iterative algorithms based on geometric programming and difference-of-convex-functions programming. The proposed algorithms transform the nonconvex problems into a sequence of convex problems, each of which is solved very efficiently by the interior-point method. We prove that our algorithms converge to the locally optimal solutions that satisfy the Karush-Kuhn-Tucker conditions of the original nonconvex problems. We then extend our results to the case of decode-and-forward (DF) relaying with variable timeslot durations. We show that our resource allocation solutions in this case offer better throughput than that of the AF counterpart with equal timeslot durations, albeit at a higher computational complexity. Numerical results confirm that the proposed joint optimization solutions substantially improve the network performance, compared with cases where the radio resource parameters are individually optimized.

Connected through hyperedge HE-1 (induced by source paper "optimization of a power splitting protocol for two way multiple energy harvesting relay system"):
  with members:
    - "rf based energy harvesting in decode and forward relaying systems ergodic and outage capacities"
    - "throughput maximization for two way relay channels with energy harvesting nodes the impact of relaying strategies"
    - "wireless powered relays in cooperative communications time switching relaying protocols and throughput analysis"
    - "energy harvesting wireless communications a review of recent advances"
    - "secure communication via a wireless energy harvesting untrusted relay"
    - "outage analysis of cooperative transmission with energy harvesting relay time switching vs power splitting"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "relaying protocols for wireless energy harvesting and information processing"

Connected through hyperedge HE-2 (induced by source paper "optimizing df cognitive radio networks with full duplex enabled energy access points"):
  with members:
    - "robust resource allocation for mimo wireless powered communication networks based on a non linear eh model"
    - "wireless powered communication networks an overview"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "cognitive wireless powered network spectrum sharing models and throughput maximization"
    - "wireless powered cooperative jamming for secrecy multi af relaying networks"
    - "comp meets smart grid a new communication and energy cooperation paradigm"
    - "energy efficient resource allocation for wireless powered communication networks"
    - "information and energy cooperation in cognitive radio networks"

Connected through hyperedge HE-3 (induced by source paper "resource allocation in wireless powered relay networks a bargaining game approach"):
  with members:
    - "joint power splitting and antenna selection in energy harvesting relay channels"
    - "noncoherent relaying in energy harvesting communication systems"
    - "wireless charger networking for mobile devices fundamentals standards and applications"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "full duplex wireless powered relay with self energy recycling"
    - "power allocation strategies in energy harvesting wireless cooperative networks"
    - "simultaneous information and energy transfer in large scale networks with without relaying"
    - "wireless information and power transfer energy efficiency optimization in ofdma systems"

Connected through hyperedge HE-4 (induced by source paper "relaying strategies for wireless powered mimo relay networks"):
  with members:
    - "distributed power splitting for swipt in relay interference channels using game theory"
    - "joint wireless information and power transfer for an autonomous multiple antenna relay system"
    - "joint power splitting and antenna selection in energy harvesting relay channels"
    - "joint wireless information and power transfer in a three node autonomous mimo relay network"
    - "user cooperation in wireless powered communication networks"
    - "power allocation strategies in energy harvesting wireless cooperative networks"
    - "relaying protocols for wireless energy harvesting and information processing"
    - "cooperative algorithms for mimo amplify and forward relay networks"

Connected through hyperedge HE-5 (induced by source paper "joint wireless information and power transfer for an autonomous multiple antenna relay system"):
  with members:
    - "user cooperation in wireless powered communication networks"
    - "power allocation strategies in energy harvesting wireless cooperative networks"
    - "relaying protocols for wireless energy harvesting and information processing"
    - "mimo broadcasting for simultaneous wireless information and power transfer"
    - "grassmannian beamforming for mimo amplify and forward relaying"

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)