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: "performance of adaptive link selection with buffer aided relays in underlay cognitive networks"
  Abstract: In this paper, we investigate the performance of a three-node dual-hop cognitive radio network (CRN) with a half-duplex (HD) decode-and-forward (DF) buffer-aided relay. We derive expressions for the average rate and symbol error rate (SER) performance of an adaptive link selection based channel-aware buffer-aided relay (CABR) scheme that imposes peak-power and peak-interference constraints on the secondary nodes, and compare them with those of conventional non-buffer-aided relay (CNBR) and conventional buffer-aided relay (CBR) schemes for a delay-tolerant system. For finite-delay systems, we analyze the performance of a modified threshold-based scheme for fixed-rate transmission, and demonstrate that use of a last-in-first-out buffer is advantageous in some situations. We bring out the trade-offs between delay, throughput and SER. Computer simulation results are presented to demonstrate accuracy of the derived expressions.

Connected through hyperedge HE-1 (induced by source paper "generalized optimal two way relays subsets pairings in cloud based region cognitive networks"):
  with members:
    - "non orthogonal multiple access for cooperative communications challenges opportunities and trends"
    - "cognitive non orthogonal multiple access with cooperative relaying a new wireless frontier for 5g spectrum sharing"
    - "resource allocation and outage analysis for an adaptive cognitive two way relay network"
    - "cooperation in 5g hetnets advanced spectrum access and d2d assisted communications"
    - "optimal relay selection for the parallel hybrid rf fso relay channel non buffer aided and buffer aided designs"
    - "separation framework an enabler for cooperative and d2d communication for future 5g networks"
    - "relay subset selection in wireless networks using partial decode and forward transmission"

Connected through hyperedge HE-2 (induced by source paper "performance of energy buffer aided incremental relaying in cooperative networks"):
  with members:
    - "incremental accumulate then forward relaying in wireless energy harvesting cooperative networks"
    - "wireless powered communication networks an overview"
    - "a discrete time switching protocol for wireless powered communications with energy accumulation"
    - "energy harvesting two hop communication networks"
    - "on off transmission policy for wireless powered communication with energy storage"
    - "performance analysis of wireless powered communication with finite infinite energy storage"
    - "relaying protocols for wireless energy harvesting and information processing"
    - "buffer aided relaying with adaptive link selection fixed and mixed rate transmission"

Connected through hyperedge HE-3 (induced by source paper "framework for discrete rate transmission in buffer aided underlay crn with direct path"):
  with members:
    - "on optimal spectrum access of cognitive relay with finite packet buffer"
    - "buffer aided relaying for the two hop full duplex relay channel with self interference"
    - "buffer aided relaying with adaptive link selection"
    - "buffer aided relaying with adaptive link selection fixed and mixed rate transmission"
    - "a simple cooperative diversity method based on network path selection"

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)