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: "energy minimization for the half duplex relay channel with decode forward relaying"
  Abstract: We analyze coding for energy efficiency in relay channels at a fixed source rate. We first propose a half-duplex decode-forward coding scheme for the Gaussian relay channel. We then derive three optimal sets of power allocation, which respectively minimize the network, the relay and the source energy consumption. These optimal power allocations are given in closed-form, which have so far remained implicit for maximum-rate schemes. Moreover, analysis shows that minimizing the network energy consumption at a given rate is not equivalent to maximizing the rate given energy, since it only covers part of all rates achievable by decode-forward. We thus combine the optimized schemes for network and relay energy consumptions into a generalized one, which then covers all achievable rates. This generalized scheme is not only energy-optimal for the desired source rate but also rate-optimal for the consumed energy. The results also give a detailed understanding of the power consumption regimes and allow a comprehensive description of the optimal message coding and resource allocation for each desired source rate and channel realization. Finally, we simulate the proposed schemes in a realistic environment, considering path-loss and shadowing as modelled in the 3GPP standard. Significant energy gain can be obtained over both direct and two-hop transmissions, particularly when the source is far from relay and destination.

Connected through hyperedge HE-1 (induced by source paper "energy efficiency maximization of full duplex two way relay with non ideal power amplifiers and non negligible circuit power"):
  with members:
    - "rate gain region and design tradeoffs for full duplex wireless communications"
    - "in band full duplex wireless challenges and opportunities"
    - "energy efficient cooperative protocols for full duplex relay channels"
    - "experiment driven characterization of full duplex wireless systems"

Connected through hyperedge HE-2 (induced by source paper "link regime and power savings of decode forward relaying in fading channels"):
  with members:
    - "link state based decode forward schemes for two way relaying"
    - "uplink user assisted relaying in cellular networks"
    - "spectral efficiency and outage performance for hybrid d2d infrastructure uplink cooperation"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-3 (induced by source paper "modeling and analysis of energy efficiency and interference for cellular relay deployment"):
  with members:
    - "impact of propagation environment on energy efficient relay placement model and performance analysis"

Connected through hyperedge HE-4 (induced by source paper "on the gaussian half duplex relay channel"):
  with members:
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "wireless network information flow a deterministic approach"
    - "study of gaussian relay channels with correlated noises"
    - "on the capacity of the half duplex diamond channel"
    - "diversity multiplexing tradeoff of the half duplex relay channel"
    - "capacity of a class of modulo sum relay channels"

Connected through hyperedge HE-5 (induced by source paper "impact of propagation environment on energy efficient relay placement model and performance analysis"):
  with members:
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-6 (induced by source paper "rate maximization for half duplex multiple access with cooperating transmitters"):
  with members:
    - "a half duplex cooperative scheme with partial decode 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)