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Your search keyword '"Tarcisio F. Maciel"' showing total 178 results
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178 results on '"Tarcisio F. Maciel"'

1. Paving the Way Toward Mobile IAB: Problems, Solutions and Challenges

Author

Victor F. Monteiro, Francisco Rafael M. Lima, Darlan C. Moreira, Diego A. Sousa, Tarcisio F. Maciel, Behrooz Makki, and Hans Hannu

Subjects
5G standardization, 6G, backhaul, integrated access and backhaul (IAB), mobile IAB, mobility, Telecommunication, TK5101-6720, Transportation and communications, HE1-9990
Abstract

Deploying access and backhaul as wireless links, a.k.a. integrated access and backhaul (IAB), is envisioned as a viable approach to enable flexible and dense networks. Even further, mobile IAB (mIAB) is a candidate solution to enhance the connectivity of multiple user equipment (UE) moving together. In this context, different of other works from the literature, the present work overviews the basis for the deployment of mIAB by presenting: 1) the current status of IAB standardization in the fifth generation (5G) new radio (NR); 2) a new taxonomy for state-of-the-art works regarding fixed IAB and mIAB; 3) an extensive performance analysis of mIAB based on simulation results; and 4) open challenges and potential future prospects of mIAB. Specifically, the proposed taxonomy classifies IAB works according to different perspectives and categorizes mIAB works according to the type of mobile node. For each type of mobile node, the main studied topics are presented. Regarding the performance evaluation, we consider an urban macro scenario where mIAB nodes are deployed in buses in order to improve the passengers’ connection. The results show that, compared to other network architectures, the deployment of mIAB nodes remarkably improves the passengers’ throughput and latency in both downlink and uplink.

Published
2022
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2. A Stochastic Channel Model With Dual Mobility for 5G Massive Networks

Author

Alexandre M. Pessoa, Igor M. Guerreiro, Carlos F. M. E. Silva, Tarcisio F. Maciel, Diego A. Sousa, Darlan C. Moreira, and Francisco R. P. Cavalcanti

Subjects
Channel modeling, dual mobility, spatial consistency, low complexity, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

In this paper, a new stochastic channel model (SCM) is proposed for fifth-generation (5G) systems. By means of the sum-of-sinusoids (SoS) method to generate spatially consistent random variables (SCRVs), the proposed model extends the 3rd Generation Partnership Project (3GPP)-SCM by considering three important features for accurate simulations in 5G, i.e., support for dual mobility, spatial correlation at both ends of the link and considerable reductions of the required memory consumption when compared with existing models. A typical problem presented in existing channel models, namely the generation of uncorrelated large scale parameters (LSPs) and small scale parameters (SSPs) for close base stations (BSs), is solved, then allowing for more realistic numerical evaluations in most of the 5G scenarios characterized by a large density of BSs and user equipments (UEs) per unit of area, such as ultra-dense networks (UDNs), indoor environments, device-to-device (D2D) and vehicular-to-vehicular (V2V). The proposed model emerges as the first SCM, and therein lower complexity when compared with ray-tracing (RT)-based models, that comprises all the following features: support for single and dual mobility with spatial consistency, smooth time evolution, dynamic modeling, large antenna array, frequency range up 100 GHz and bandwidth up to 2 GHz. Some of the features are calibrated for single mobility in selected scenarios and have shown a good agreement with the calibration results found in the literature.

Published
2019
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