A baseline roadmap for advanced wireless research beyond 5G

This paper presents a baseline roadmap for the evolution of 5G new radio over the next decade. Three timescales are considered, namely short-term (2022-ish), medium-term (2025-ish), and long-term (2030-ish). The evolution of the target key performance indicators (KPIs) is first analyzed by accounting for forecasts on the emerging use cases and their requirements, together with assumptions on the pace of technology advancements. The baseline roadmap is derived next by capturing the top-10 and next the top-5 technology trends envisioned to bring significant added value at each timescale. Being intrinsically predictive, our proposed baseline roadmap cannot assert with certainty the values of the target KPIs and the shortlisting of the technology trends. It is, however, aimed at driving discussions and collecting feedback from the wireless research community for future tuning and refinement as the 5G evolution journey progresses.This research was funded by the European Union's Horizon 2020 research and innovation programme under grant number No 824994

A Baseline Roadmap for Advanced Wireless Research Beyond 5G

This paper presents a baseline roadmap for the evolution of 5G new radio over the next decade. Three timescales are considered, namely short-term (2022-ish), medium-term (2025-ish), and long-term (2030-ish). The evolution of the target key performance indicators (KPIs) is first analyzed by accounting for forecasts on the emerging use cases and their requirements, together with assumptions on the pace of technology advancements. The baseline roadmap is derived next by capturing the top-10 and next the top-5 technology trends envisioned to bring significant added value at each timescale. Being intrinsically predictive, our proposed baseline roadmap cannot assert with certainty the values of the target KPIs and the shortlisting of the technology trends. It is, however, aimed at driving discussions and collecting feedback from the wireless research community for future tuning and refinement as the 5G evolution journey progresses

Measuring user-induced-randomness to evaluate smart phone performance in real envi-ronments

The radiated performance of a wireless device depends on its orientation and position relative to the user. In addition, the antenna performance is different on different devices and it depends on the device model. Hence, to understand the impact of the users behaviour on the device antenna and the resulting network performance an investigation of the device usage and signal quality is of high importance. This paper presents a first analysis of the orientation usage of wireless devices based on data gathered from 5 smart phones over a period of more than two months. The data was obtained from the built-in sensors in the phone, and includes angles of orientation, information about signal quality and the connected network Some interesting trends regarding typical orientations of the phone are presented for both voice and data services. We believe that data of this type has the potential to be used for optimizing the device and the network performance, e.g., when the data is correlated with the experienced channel quality

Measuring user-induced-randomness to evaluate smart phone performance in real envi-ronments

The radiated performance of a wireless device depends on its orientation and position relative to the user. In addition, the antenna performance is different on different devices and it depends on the device model. Hence, to understand the impact of the users behaviour on the device antenna and the resulting network performance an investigation of the device usage and signal quality is of high importance. This paper presents a first analysis of the orientation usage of wireless devices based on data gathered from 5 smart phones over a period of more than two months. The data was obtained from the built-in sensors in the phone, and includes angles of orientation, information about signal quality and the connected network Some interesting trends regarding typical orientations of the phone are presented for both voice and data services. We believe that data of this type has the potential to be used for optimizing the device and the network performance, e.g., when the data is correlated with the experienced channel quality

Identifying scenarios with high potential for future cognitive radio networks

Abstract Opportunistic spectrum access is a great prospect for future wireless networks. The key requirements for an opportunistic user are to avoid interference with any licensed users of the same spectrum and also to cooperate fairly with other opportunistic users. There are many scenarios where an opportunistic network could provide a system that has the potential to provide a better business case than conventional wireless networks. The most promising scenarios for opportunistic users that are on the move and have a requirement for managed quality of service are identified in this paper. The processes used to develop these scenarios are also presented

Rádio cognitivo

Resumo O acesso oportunista ao espectro representa uma grande perspectiva para as redes sem fio do futuro, ao possibilitar o acesso às bandas subutilizadas do espectro licenciado. Veja quais são os cenários mais promissores para usuários que estão em movimento e os requisitos para uma qualidade de serviço gerenciada, sem interferências junto a outros usuários