Adaptive Modulation Based on Nondata-Aided Error Vector Magnitude for Smart Systems in Smart Cities

Yang, Fan; Jie, Huang; Bhardwaj, Arpit; Hussain, Amir; El‐Latif, Ahmed A. Abd; Yu, Keping

doi:10.1109/jiot.2023.3268659

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…However, one must keep in mind the resource limitations and unique characteristics of both devices. Smart spaces [43] rely heavily on contextually aware systems, and context modeling is a crucial first step in creating such systems. Context refers to any information, whether it be physical or conceptual, that can be employed in the process of determining the state of an entity.…”

Section: Modeling Smart Space Systemsmentioning

confidence: 99%

A Resource Aware Memory Requirement Calculation Model for Memory Constrained Context-Aware Systems

Ali,

Arshad,

Uddin

et al. 2024

IEEE Access

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Smart spaces are physical environments equipped with sensors, actuators, and other computing devices to gather data and provide intelligent services to users. These spaces are made possible by ubiquitous computing, particularly context-aware computing. Although these systems are mainly implemented on mobile and other resource-constrained wearable devices, different techniques have been adopted for their implementation. Rule-based reasoning is a relatively easyto-implement approach that can solve real-world problems. Rule-based systems rely on a set of assertions that constitute the working memory and a set of rules that govern what should be done with the set of assertions. Despite its relative simplicity, the working memory size is a critical factor in developing these systems, particularly for resource-constrained devices. In this paper, we propose techniques for efficiently calculating the working memory size. Our results show that all three techniques, DWM, APS, and SAPS, performed well in different ways. However, APS and SAPS consumed from 25% to 100% less memory than existing techniques.

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Section: Modeling Smart Space Systemsmentioning

confidence: 99%

A Resource Aware Memory Requirement Calculation Model for Memory Constrained Context-Aware Systems

Ali,

Arshad,

Uddin

et al. 2024

IEEE Access

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“…Overall, the united technology of FD and RIS can theoretically obtain two-fold performance gains, including time-frequency domain multiplexing and signal enhancement. So, RIS-aided FD technology is expected to be applied in a wide range of IoT devices in smart cities that require superior performances in terms of high data transmission rate and extensive coverage [ 3 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…11 Update the parameter ϕ of the actor Q networks by (38a), (38b). 12 Update the temperature parameter α by (39a), (39b). 13 Update the parameters θ − 1 and θ − 2 of the target Q networks by (40).…”

mentioning

confidence: 99%

Joint Beamforming and Phase Shifts Design for RIS-Aided Multi-User Full-Duplex Systems in Smart Cities

Pan,

Zhou,

Zhang

et al. 2023

Sensors

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Full-duplex (FD) and reconfigurable intelligent surface (RIS) are potential technologies for achieving wireless communication effectively. Therefore, in theory, the RIS-aided FD system is supposed to enhance spectral efficiency significantly for the ubiquitous Internet of Things devices in smart cities. However, this technology additionally induces the loop-interference (LI) of RIS on the residual self-interference (SI) of the FD base station, especially in complicated urban outdoor environments, which will somewhat counterbalance the performance benefit. Inspired by this, we first establish an objective and constraints considering the residual SI and LI in two typical urban outdoor scenarios. Then, we decompose the original problem into two subproblems according to the variable types and jointly design the beamforming matrices and phase shifts vector methods. Specifically, we propose a successive convex approximation algorithm and a soft actor–critic deep reinforcement learning-related scheme to solve the subproblems alternately. To prove the effectiveness of our proposal, we introduce benchmarks of RIS phase shifts design for comparison. The simulation results show that the performance of the low-complexity proposed algorithm is only slightly lower than the exhaustive search method and outperforms the fixed-point iteration scheme. Moreover, the proposal in scenario two is more outstanding, demonstrating the application predominance in urban outdoor environments.

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Cross Layer Design for TCP Optimization Through Flow Control and Adaptive Modulation and Coding

O G

et al. 2023

2023 11th International Conference on Intelligent Systems and Embedded Design (ISED)

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Adaptive Modulation Based on Nondata-Aided Error Vector Magnitude for Smart Systems in Smart Cities

Cited by 8 publications

References 37 publications

A Resource Aware Memory Requirement Calculation Model for Memory Constrained Context-Aware Systems

A Resource Aware Memory Requirement Calculation Model for Memory Constrained Context-Aware Systems

Joint Beamforming and Phase Shifts Design for RIS-Aided Multi-User Full-Duplex Systems in Smart Cities

Cross Layer Design for TCP Optimization Through Flow Control and Adaptive Modulation and Coding

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