The energy consumption of telecommunication networks has been rising steadily due to the expansion of networks, power-hungry equipment and ever-increasing consumer demand. This contributes significantly to the world’...
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ISBN:
(数字)9798331530983
ISBN:
(纸本)9798331530990
The energy consumption of telecommunication networks has been rising steadily due to the expansion of networks, power-hungry equipment and ever-increasing consumer demand. This contributes significantly to the world’s carbon footprint and greenhouse emissions. In particular, radio access networks (RANs) have been identified to have a larger contribution to the energy consumption of telecommunication networks, and a thorough evaluation is required to understand the avenues for energy reduction. In light of that, this study discusses various strategies to lower RAN power usage to minimize telecommunication’s environmental effect. Furthermore, a two-pronged strategy that combines dynamic operation management of base stations (BSs) and renewable energy integration is introduced to reduce the environmental impacts of RANs. With this hybrid strategy energy consumption and carbon footprint may be significantly reduced by using solar and wind energy to power BSs and putting clever dynamic energy management strategies like adaptive sleep modes and real-time power adjustment into practice. The proposed approach guarantees the continuous expansion of telecommunications networks while also being in line with international climate targets. The results highlight how important sustainable practices are to the telecommunication industry and offer a path forward for reducing its environmental effect without compromising dependable and strong connectivity.
In this paper, we develop a six-dimensional movable antenna (6DMA) enhanced multi-access point (AP) coordination system for coverage enhancement and interference mitigation. First, we model the wireless channels betwe...
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ISBN:
(数字)9798350368369
ISBN:
(纸本)9798350368376
In this paper, we develop a six-dimensional movable antenna (6DMA) enhanced multi-access point (AP) coordination system for coverage enhancement and interference mitigation. First, we model the wireless channels between the APs and UTs to characterize their variation with respect to 6DMA movement, in terms of both the three-dimensional (3D) position and 3D orientation of each distributed AP's antenna. Then, an optimization problem is formulated to maximize the weighted sum rate of multiple UTs for their uplink transmissions by jointly optimizing the antenna position vector (APV), the antenna orientation matrix (AOM), and the receive combining matrix over all coordinated APs, subject to the constraints on local antenna movement regions. To solve this challenging non-convex optimization problem, we first transform it into a more tractable Lagrangian dual problem. Then, an alternating optimization (AO)-based algorithm is developed by iteratively optimizing the APV and AOM, which are designed by applying the successive convex approximation (SCA) technique and Riemannian manifold optimization-based algorithm, respectively. Simulation results show that the proposed 6DMA-enhanced multi-AP coordination system can significantly enhance network capacity, and can attain considerable performance improvement compared to the conventional fixed antenna (FA)-based schemes.
A new method of error correction of coordinate measuring and technological systems is presented in the article. The method is based on the basic assumptions of the Kalman filter and is aimed at removing errors whose s...
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Recent advancements in deep learning have significantly improved object detection capabilities. However, accurately recognizing objects in environments with complex occlusions remains a challenge. For instance, detect...
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ISBN:
(数字)9798331521165
ISBN:
(纸本)9798331521172
Recent advancements in deep learning have significantly improved object detection capabilities. However, accurately recognizing objects in environments with complex occlusions remains a challenge. For instance, detecting densely packed items on shelves in unmanned stores presents difficulties even for the most cutting-edge deep-learning object detectors. To address this issue, we propose a deep learning-based inventory management system tailored for multi-camera unmanned stores. The proposed method utilizes a Voronoi diagram-based ground plane localization technique along with regions of interest (ROI) obtained by using image difference. A weighted voting algorithm is employed to ensure an accurate inventory check. This approach outperforms conventional ROI detection methods by 10.45% in terms of recognition accuracy.
In this paper, an event-based tracker is presented. Inspired by recent advances in asynchronous processing of individual events, we develop a direct matching scheme that aligns spatial distributions of events at diffe...
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The increase of energy demand has made PV modules more affordable for energy consumers. Years of research and monitoring the parameters of PV systems has made the continuous development and improvement of photovoltaic...
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To satisfy the high data rate requirements, cellular systems will evolve towards the direction of higher carrier frequencies and larger antenna arrays. The conventional phased arrays are hard to fulfill such a vision ...
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ISBN:
(数字)9798350368369
ISBN:
(纸本)9798350368376
To satisfy the high data rate requirements, cellular systems will evolve towards the direction of higher carrier frequencies and larger antenna arrays. The conventional phased arrays are hard to fulfill such a vision due to its excessive power consumption induced by numerous phase shifters. To address this issue, Reconfigurable Refractive Surfaces (RRSs) provide a energy efficient solution without relying on phase shifters. With enlarged radiation aperture and increased working frequency, users are more likely to be located in the near field of the RRS. Moreover, the frequency selectivity of the RRS cannot be neglected given the wideband communications enabled by higher frequency bands. These two effects jointly aggravate the beam split problem where the signal strength of different frequency components cannot concentrate on the user, leading to a data rate degradation. In this paper, we study an RRS-based wideband near-field communication system with multiple users. Unlike most existing works, which only considered the beam split effect under near-field conditions, we jointly consider the influence of the frequency selectivity of RRS and near-field conditions on the beam split effect. To mitigate the beam split effect, the time-delay units are introduced in the RRS elements based on which a beamforming scheme is proposed to improve system data rate by jointly optimizing the digital beamformer, the phase shifts of RRS and the time-delay units. Simulation results demonstrate the effectiveness of our proposed scheme.
Based on the achievements regarding the 2020 targets, the Renewable Energy Directive established a new, higher target for 2030, reflecting a significant increase of interest for renewable energy sources (RES). As a re...
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We propose a graph neural network (GNN) architecture to optimize base station (BS) beamforming and reconfigurable intelligent surface (RIS) phase shifts in a multi-RIS assisted wireless network. We create a bipartite ...
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Previously reported resonant switched-capacitor converters (RSCCs) offer limited voltage regulation under the condition of an extremely wide switching frequency band for light load operation. In this paper, a new gene...
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