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When fully deployed, sixth generation wireless networks will offer intelligent wireless networks that enable not only ubiquitous communication but also high-accuracy localization services. This research examines the potential applications and use cases of localization in forthcoming 6G wireless networks, as well as investigating the impact of the major technology enablers to that end. Lastly, findings from the presented review are summarized and used to highlight the most important future directions for localization in 6G wireless networks.
Source link: https://doi.org/10.36227/techrxiv.21822096.v1
A 6G network can be converted into a green network, thanks to a novel approach to cognitive ambient backscatter radio that allows for the sharing of devices without the need to reallocation of the frequency spectrum and complex energy infrastructure, and so on. The primary goal is to minimize the energy consumption in the SR network and raise energy efficiency by taking into account the minimum required throughput for SBDs. To maximize resource allocation between SBDs, we recommend Timing SR, a new scheduling system that we'll discuss later.
Source link: https://doi.org/10.36227/techrxiv.20724937.v1
Symbiotic radio is a new innovation in cognitive ambient backscatter communications, which links devices without the need to allocate a spectrum and complicated electricity infrastructure. Green networks can be established in 6G networks using the symbiotic radio technique. While still supplying the minimum throughput for SBDs, the main aim is to reduce the energy use in the SR network and increase energy efficiency. SBDs gather energy from ambient signals and then relay their information to the SUE without interfering with each other or using ambient signal carrier S.
Source link: https://doi.org/10.36227/techrxiv.20724937
This paper introduces a novel two-hop hybrid active-and-passive relaying system that can support simultaneous wireless communications and power transfer considering both time-switching and power-splitting receiver architectures, as well as dynamically modeling the relevant dual-hop time metric. Our numerical results in terms of weighted utility function demonstrate the superior results of the proposed hybrid scheme over passive repeater-only and active relay-only schemes, as well as showcasing their individual performance improvements over the corresponding benchmark SWIPT benchmarks with the fixed-TP.
Source link: https://doi.org/10.3390/s21186013
Given the success of UAVs so far, researchers are now planning on aerial transport systems that would consist of dense deployment of both UAVs and Personal Aerial Vehicles carrying human passengers. Also, although the fifth-generation mobile network key performance metrics have been optimized to accommodate drone use cases for both high data speeds and low latency applications, future aerial transportation services will need tighter network key success indicators to enable the anticipated widespread deployment of aerial vehicles, considering network capacity and distance between the base station and the aerial vehicles, among other things.
Source link: https://doi.org/10.3389/frcmn.2021.729767
Abstract We investigate the effect of pump-induced loss in a Rhodamine 6G laser's gain medium on the spectral dependence of the laser's performance under microsecond coherent pumping. The pump-induced thermal loss at Rhodamine 6G's peak absorption wavelength is a more significant factor than the minimum pump power density. We show that the highest dye laser yield under microsecond coherent pumping can only be achieved at an optimal pump wavelength.
Source link: https://doi.org/10.1070/qel17432
Various research challenges that are encountered in the Fog Environment based on 6G networks are investigated, including the use of optimization tools to solve these issues. PSO, GA, and Round-Robin algorithm comparison is focusing on parameters. The PSO, GA, and Round-Robin algorithm on parameters is based on 6G networks; this study will focus on various performance issues that are encountered in the Fog environment. This research also shows which of the Group's behaviour species, Social Behaviour, and Pre-emptive variants are most effective at achieving QoS for resource management in the Fog environment for the 6G network.
Source link: https://doi.org/10.4018/ijssci.304440
The quantum leap in cell phone traffic and high density of wireless electronic equipment, as well as advances in industrial radio communication and autonomous technologies, have raised the greatest challenges for smooth wireless network operation. Therefore, the most cost-effective solution has been to optimize the existing and B5G/6G wireless network elements as a result of an appropriate implementation of artificial intelligence methods, such as machine learning, distributed learning, and neural networks. We cover and identify several critical areas in each segment that might help to make the future wireless networks more robust. To provide complete insight into the mMIMO systems with emerging antenna and propagation precoding techniques, we provide you with complete information.
Source link: https://doi.org/10.3390/electronics12010189
Unsourced multiple access is the technology for massive, low-power, and uncoordinated Internet-of-Things in the 6G wireless network, improving connectivity and energy availability on guaranteed reliability while ensuring reliability. This paper proposes a UMA code scheme based on the T-Fold IRSA model by using joint Intra/interslot code design and optimization. We develop a joint intra/inter-slot coding parameter optimization algorithm to minimize the SNR requirement at a predicted system packet loss rate based on the error event decomposition and density evolution results.
Source link: https://doi.org/10.3390/s23010242
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