Multisource WPT-Enabled IoNT: Joint Resource Allocation Design for Fairness-Aware Reliability Maximization in the FBL Regime
IEEE Internet of Things Journal, vol. 13, pp. 1460–1474
Abstract
In this paper, we study a multi-source wireless power transfer (MS-WPT) enabled Internet of Nano Things (IoNT), where massive nanonodes wirelessly transmit packets to the same destination via clustered data collection and multi-hop relaying with the aid of nanonodes. A fairness-aware reliability-oriented design is provided aiming at minimizing the maximum transmission error probability among all the nanonodes. In particular, we formulate a joint resource allocation problem that optimizes MS-WPT dynamic transmit power and the blocklength for both WPT and wireless information transfer (WIT) phases. However, the problem is non-convex and intractable due to the mutual effects of multi-source, the nonlinear EH model, the complex finite blocklength (FBL) reliability model, and the infinite optimization variables regarding time-varying MS-WPT power. To tackle these difficulties, we first characterize the optimal frame structure for MS-WPT and prove that an equivalent optimal performance can be achieved by limited WPT decisions corresponding to a finite number of sub-slots. Following this frame structure reconstruction, an optimization problem with finite number of variables is formulated, nevertheless, remaining nonconvex. To cope with it, variable substitution, nonconvex relationship decoupling, relax variable introduction and successive convex approximation (SCA) are utilized, to further transfer the problem into local convex ones. A sub-optimal solution is finally achieved by the proposed iteration-based algorithm. Via numerical simulation, it is validated that a significant performance improvement is achieved by reasonable joint resource allocation while maintaining an appropriate compromise among massive nanonodes.
Authors 5
-
Affiliation as printed
Electronic Information School, Wuhan University, Wuhan, China
-
Affiliation as printed
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Electronic Information School, Wuhan University, Wuhan, China
-
Affiliation as printed
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
School of Electronic and Information Engineering, Beijing Jiaotong University, Germany
-
Affiliation as printed
Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).