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 maximizing coverage in gaussian relay channels"
  Abstract: Results for Gaussian relay channels typically focus on maximizing transmission rates for given locations of the source, relay, and destination. We introduce an alternative perspective, where the objective is maximizing coverage for a given rate. The new objective captures the problem of how to deploy relays to provide a given level of service to a particular geographic area, where the relay locations become a design parameter that can be optimized. We evaluate the decode-and-forward (DF) and compress-and-forward (CF) strategies for the relay channel with respect to the new objective of maximizing coverage. When the objective is maximizing rate, different locations of the destination favor different strategies. When the objective is coverage for a given rate, and the relay is able to decode, DF is uniformly superior in that it provides coverage at any point served by CF. When the channel model is modified to include random fading, we show that the monotone ordering of coverage regions is not always maintained. While the coverage provided by DF is sensitive to changes in the location of the relay and the path loss exponent, CF exhibits a more graceful degradation with respect to such changes. The techniques used to approximate coverage regions are new and may be of independent interest.

Connected through hyperedge HE-1 (induced by source paper "quasi concavity for gaussian multicast relay channels"):
  with members:
    - "reducibility of joint relay positioning and flow optimization problem"
    - "on the geometry of wireless network multicast in 2 d"
    - "optimal relay location and power allocation for low snr broadcast relay channels"

Connected through hyperedge HE-2 (induced by source paper "coverage region analysis for mimo amplify and forward relay channel with the source to destination link"):
  with members:
    - "analysis of coverage region for mimo relay network with multiple cooperative df relays"
    - "analysis of coverage region for mimo relay channel"
    - "transmit signal and bandwidth optimization in multiple antenna relay channels"

Connected through hyperedge HE-3 (induced by source paper "analysis of coverage region for mimo relay network with multiple cooperative df relays"):
  with members:
    - "impact of propagation environment on energy efficient relay placement model and performance analysis"
    - "analysis of coverage region for mimo relay channel"
    - "transmit signal and bandwidth optimization in multiple antenna relay channels"

Connected through hyperedge HE-4 (induced by source paper "reducibility of joint relay positioning and flow optimization problem"):
  with members:
    - "on the geometry of wireless network multicast in 2 d"
    - "optimal relay location and power allocation for low snr broadcast relay channels"

Connected through hyperedge HE-5 (induced by source paper "analysis of coverage region for mimo relay channel"):
  with members:
    - "transmit signal and bandwidth optimization in multiple antenna relay channels"

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)