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: "on the capacity of the two hop half duplex relay channel"
  Abstract: Although extensively investigated, the capacity of the two-hop half-duplex (HD) relay channel is not fully understood. In particular, a capacity expression which can be easily evaluated is not available and an explicit coding scheme which achieves the capacity is not known either. In this paper, we derive a new expression for the capacity of the two-hop HD relay channel by simplifying previously derived converse expressions. Compared to previous results, the new capacity expression can be easily evaluated. Moreover, we propose an explicit coding scheme which achieves the capacity. To achieve the capacity, the relay does not only send information to the destination by transmitting information-carrying symbols but also with the zero symbols resulting from the relay's silence during reception. As examples, we compute the capacities of the two-hop HD relay channel for the cases when the source-relay and relay-destination links are both binary-symmetric channels (BSCs) and additive white Gaussian noise (AWGN) channels, respectively, and numerically compare the capacities with the rates achieved by conventional relaying where the relay receives and transmits in a codeword-by-codeword fashion and switches between reception and transmission in a strictly alternating manner. Our numerical results show that the capacities of the two-hop HD relay channel for BSC and AWGN links are significantly larger than the rates achieved with conventional relaying.

Connected through hyperedge HE-1 (induced by source paper "optimal power allocation strategies in full duplex relay networks"):
  with members:
    - "joint source relay design for full duplex mimo af relay systems"
    - "capacity of the gaussian two hop full duplex relay channel with residual self interference"
    - "on the gaussian half duplex relay channel"
    - "on the capacity of the noncausal relay channel"

Connected through hyperedge HE-2 (induced by source paper "buffer aided relaying for the two hop full duplex relay channel with self interference"):
  with members:
    - "virtual full duplex buffer aided relaying in the presence of inter relay interference"
    - "all digital self interference cancellation technique for full duplex systems"
    - "achievable rates for the fading half duplex single relay selection network using buffer aided relaying"
    - "a buffer aided successive opportunistic relay selection scheme with power adaptation and inter relay interference cancellation for cooperative diversity systems"
    - "effective capacity of buffer aided full duplex relay systems with selection relaying"
    - "capacity of the gaussian two hop full duplex relay channel with residual self interference"
    - "statistical delay tradeoffs in buffer aided two hop wireless communication systems"
    - "buffer aided relaying with adaptive link selection"

Connected through hyperedge HE-3 (induced by source paper "capacity of the gaussian two hop full duplex relay channel with residual self interference"):
  with members:
    - "all digital self interference cancellation technique for full duplex systems"
    - "throughput analysis for full duplex wireless networks with imperfect self interference cancellation"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "widely linear digital self interference cancellation in direct conversion full duplex transceiver"
    - "design and characterization of a full duplex multiantenna system for wifi networks"
    - "full duplex transceiver system calculations analysis of adc and linearity challenges"
    - "buffer aided relaying with adaptive link selection"
    - "rate gain region and design tradeoffs for full duplex wireless communications"

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)