Reliability-Oriented Power Allocation for Multi-Source WPT Enabled Short Packet Communications

Guo, Ning; Yuan, Xiaopeng; Wang, Chongfa; Hu, Yulin; Schmeink, Anke

doi:10.1109/iswcs56560.2022.9940388

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…Subsequently, we investigate the convexity of the object function in Local Problem (LP1). In [38], the joint convexity of ε i in ( P , P ) has been verified. Based on the convexity preservation, the maximum of a set of convex functions is still convex, which indicates the convexity of the objective function in (LP1), i.e., max i∈{1,••• ,N } ε i ( Pi ) is jointly convex to ( P , P ).…”

Section: B Solution To Subproblem (Sp1)mentioning

confidence: 84%

“…Subsequently, let us focus on (13b), which depicts the coupling energy supply and consumption constraint between WPT and WIT phase. According to the results conducted in our previous work [38], it has been proved that the joint convex property of F eh [Q i (P )] with respect to the reciprocal of multiple source power, i.e., 1 P . To facilitate the characterization, we define…”

Section: B Solution To Subproblem (Sp1)mentioning

confidence: 95%

“…The equality in (38) holds at local point n (χ) . Based on the SCA, the original nonconcave term log 2 (1 + ζi ni ) has been converted into a linear and concave one, i.e., −C (χ)…”

Section: Solution To Subproblem (Sp2)mentioning

confidence: 99%

“…Authors in [37], formulated a joint energy management and user scheduling problem in a multi-source energy harvesting wireless networks, but the operations of the WPT process at different sources are not cooperative, i.e., a joint design among them is missing. In work [38], a power allocation design among sources has been proposed, nevertheless, under a fixed frame structure, i.e., the blocklength for WIT are unadjustable and only a single dimension of resource (power) is optimized. In [39], multiple sources are utilized for WPT, but the fairness-aware resource allocation is out of the scope of their work.…”

Section: Introductionmentioning

confidence: 99%

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Fairness-Aware Resource Allocation in Multi-Source WPCN in the Finite Blocklength Regime

Guo

Yuan

et al. 2023

IEEE Access

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In this work, we investigate a wireless powered communication network (WPCN) where multiple sources are jointly utilized for wireless power transfer (WPT). By consuming the energy harvested from the these WPT sources, a set of sensors are expected to accomplish reliable transmissions carried by finite blocklength (FBL) codes. This work proposes a fairness-aware resource allocation design with low-complexity in such a multi-source WPCN, where the practical nonlinear energy harvesting process is considered (including the effects of components nonlinearity in rectifier circuits and mutual interference between multiple radio frequency signals). In particular, a joint power and blocklength optimization problem minimizing the maximum reliability of all short packet transmissions is considered. To cope with the formulated extremely intractable nonconvex problem, we decompose it into two subproblems, i.e., a power allocation problem and a blocklength allocation problem, nevertheless, both of which are still nonconvex. To address the power allocation subproblem, auxiliary variables are introduced, subsequently variable substitutions are performed to convert the problem into one being analytically tractable, and an efficient iterative approach is provided via applying the successive convex approximation technique. For the blocklength allocation problem, we for the first time verify the convexity of error probability with respect to blocklength under a harvested energy constraint, which is of great theoretical value and can be extended to numerous applications with energy limitations. Finally, by alternatingly addressing the two subproblems, an efficient sub-optimal solution to the original problem is achieved. We provide numerical results to validate and evaluate the proposed design, and a set of guidelines are provided for practical system designs.

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Section: B Solution To Subproblem (Sp1)mentioning

confidence: 84%

Section: B Solution To Subproblem (Sp1)mentioning

confidence: 95%

“…The equality in (38) holds at local point n (χ) . Based on the SCA, the original nonconcave term log 2 (1 + ζi ni ) has been converted into a linear and concave one, i.e., −C (χ)…”

Section: Solution To Subproblem (Sp2)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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