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: "distributed resource allocation for relay aided device to device communication a message passing approach"
  Abstract: Device-to-device (D2D) communication underlaying cellular wireless networks is a promising concept to improve user experience and resource utilization by allowing direct transmission between two cellular devices. In this paper, performance of network-assisted D2D communication is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a distributed solution for resource allocation with a view to maximizing network sum-rate. An optimization problem is formulated for radio resource allocation at the relays. The objective is to maximize end-to-end rate as well as satisfy the data rate requirements for cellular and D2D user equipments under total power constraint. Due to intractability of the resource allocation problem, we propose a solution approach using message passing technique where each user equipment sends and receives information messages to/from the relay node in an iterative manner with the goal of achieving an optimal allocation. Therefore, the computational effort is distributed among all the user equipments and the corresponding relay node. The convergence and optimality of the proposed scheme are proved and a possible distributed implementation of the scheme in practical LTE-Advanced networks is outlined. The numerical results show that there is a distance threshold beyond which relay-aided D2D communication significantly improves network performance with a small increase in end-to-end delay when compared to direct communication between D2D peers.

Connected through hyperedge HE-1 (induced by source paper "robust transmissions in wireless powered multi relay networks with chance interference constraints"):
  with members:
    - "optimization of a power splitting protocol for two way multiple energy harvesting relay system"
    - "from d2d to ds2d prolonging the battery life of mobile devices via ds2d communications"
    - "an overview of sustainable green 5g networks"
    - "separation framework an enabler for cooperative and d2d communication for future 5g networks"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "multiuser mimo wireless energy transfer with coexisting opportunistic communication"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "physical layer multicasting by stochastic transmit beamforming and alamouti space time coding"

Connected through hyperedge HE-2 (induced by source paper "relay assisted device to device communication approaches and issues"):
  with members:
    - "distributed resource allocation for relay aided device to device communication under channel uncertainties a stable matching approach"
    - "resource allocation under channel uncertainties for relay aided device to device communication underlaying lte a cellular networks"
    - "base station assisted device to device communications for high throughput wireless video networks"
    - "resource allocation for network integrated device to device communications using smart relays"
    - "to relay or not to relay learning device to device relaying strategies in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "performance analysis and optimization of cooperative full duplex d2d communication underlaying cellular networks"):
  with members:
    - "resource allocation in full duplex communications for future wireless networks"
    - "a survey on device to device communication in cellular networks"
    - "resource allocation under channel uncertainties for relay aided device to device communication underlaying lte a cellular networks"
    - "experiment driven characterization of full duplex wireless systems"

Connected through hyperedge HE-4 (induced by source paper "intelligent wireless communications enabled by cognitive radio and machine learning"):
  with members:
    - "toward intelligent vehicular networks a machine learning framework"
    - "deep learning based channel estimation for beamspace mmwave massive mimo systems"
    - "channel agnostic end to end learning based communication systems with conditional gan"
    - "deep learning based csi feedback approach for time varying massive mimo channels"
    - "an introduction to deep learning for the physical layer"
    - "deep reinforcement learning for resource allocation in v2v communications"
    - "energy efficient user association and power allocation in millimeter wave based ultra dense networks with energy harvesting base stations"
    - "deep learning for wireless physical layer opportunities and challenges"

Connected through hyperedge HE-5 (induced by source paper "backhaul aware user association and resource allocation for energy constrained hetnets"):
  with members:
    - "joint downlink cell association and bandwidth allocation for wireless backhauling in two tier hetnets with large scale antenna arrays"
    - "energy harvesting wireless communications a review of recent advances"
    - "5g wireless backhaul networks challenges and research advances"
    - "a traffic load balancing framework for software defined radio access networks powered by hybrid energy sources"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "unified and distributed qos driven cell association algorithms in heterogeneous networks"
    - "what will 5g be"

Connected through hyperedge HE-6 (induced by source paper "distributed resource allocation in 5g cellular networks"):
  with members:
    - "what will 5g be"
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"
    - "emerging technologies and research challenges for 5g wireless networks"
    - "a mean field game approach to scheduling in cellular systems"
    - "resource allocation for network integrated device to device communications using smart relays"
    - "refim a practical interference management in heterogeneous wireless access networks"

Connected through hyperedge HE-7 (induced by source paper "blma a blind matching algorithm with application to cognitive radio networks"):
  with members:
    - "distributed channel assignment in cognitive radio networks stable matching and walrasian equilibrium"
    - "matching theory for future wireless networks fundamentals and applications"

Connected through hyperedge HE-8 (induced by source paper "bio inspired resource allocation for relay aided device to device communications"):
  with members:
    - "hybrid centralized distributed resource allocation for device to device communication underlaying cellular networks"

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.NI(Networking and Internet Architecture)