Lifetime maximization via joint channel and power assignment for incremental-relay multi-channel systems


A comprehensive resource optimization framework is designed for incremental amplify-and-forward orthogonal frequency division multiplexing (AF-OFDM) relaying systems to maximize the network lifetime. Specifically, joint channel and power assignment, i.e., all degrees of freedom such as incremental policy, channel pairing, relay selection, and power allocation, are optimized with quality of service (QoS) constraints. The lifetime maximization problem is formulated as a mixed-integer nonlinear programming which at first glance seems mathematically intractable. However, a two-nested search loop, in which the outer loop varies the lifetime based on bisection criterion until finding the optimum while the inner loop attempts to derive the corresponding feasible solution set for that given lifetime by employing dual decomposition and subgradient techniques, is then presented to solve it. Numerical results are shown to verify the near-optimality and the effectiveness of our proposal.

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This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61401321, 61701392, 91538105), Fundamental Research Funds for the Central Universities (Grant No. JB180107), National Basic Research Program of China (Grant No. 2014CB340206), Open Research Fund of National Mobile Communications Research Laboratory (Grant No. 2015D01), Scientific Research Plan Projects of Shaanxi Provincial Department of Education (Grant Nos. 16JK1498, 16JK1501), China Postdoctoral Science Foundation (Grant No. 2015M5826), and Natural Science Foundation of Xi’an University of Science and Technology (Grant No. 2018YQ3-07).

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Correspondence to Yang Zhang.

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Pang, L., Zhang, Y., Han, R. et al. Lifetime maximization via joint channel and power assignment for incremental-relay multi-channel systems. Sci. China Inf. Sci. 62, 22301 (2019).

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  • lifetime maximization
  • incremental relaying
  • amplify-and-forward
  • multi-channel systems
  • resource optimization