Relay-Enabled Backscatter Communications: Linear Mapping and Resource Allocation
نویسندگان
چکیده
Relay-enabled backscatter communication (BC) is an intriguing paradigm to alleviate energy shortage and improve throughput of Internet-of-Things (IoT) devices. Most the existing works focus on resource allocation that considered unequal continuous time for both source-relay relay-destination links. However, may be infeasible since in practice, shall carried out integral multiple subframe duration unit. In this article, we study a discrete scheme from perspective frame structure, where one transmission block divided into two phases linear mapping employed as re-encoding method determine number subframes power each relay-enabled BC system. Based this, derive accurate system-throughput expression formulate mixed-integral non-convex optimization problem maximize system by jointly optimizing reflection coefficient (PRC) IoT node, hybrid access point (HAP) matrix, solve it via three-step approach. First, optimal eigenvalues matrix introducing auxiliary variables exploiting Karush-Kuhn-Tucker (KKT) conditions. Second, employ time-sharing technology convert leveraging successive convex approximation (SCA) monotonicity or bisection method. Finally, integer conversion strategy designed find suboptimal phases, based which are further optimized. According above approaches, propose low complexity iterative algorithm obtain maximization-based solution. Numerical results analyze performance our proposed algorithm, verify superiority scheme, evaluate impacts network parameters throughput.
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ژورنال
عنوان ژورنال: IEEE Transactions on Vehicular Technology
سال: 2023
ISSN: ['0018-9545', '1939-9359']
DOI: https://doi.org/10.1109/tvt.2023.3299621