15 research outputs found
The Alamouti Scheme with CDMA-OFDM/OQAM
This paper deals with the combination of OFDM/OQAM with the Alamouti scheme. After a brief presentation of the OFDM/OQAM modulation scheme, we introduce the fact that the well-known Alamouti decoding scheme cannot be simply applied to this modulation. Indeed, the Alamouti coding scheme requires a complex orthogonality property; whereas OFDM/OQAM only provides real orthogonality. However, as we have recently shown, under some conditions, a transmission scheme combining CDMA and OFDM/OQAM can satisfy the complex orthogonality condition. Adding a CDMA component can thus be seen as a solution to apply the Alamouti scheme in combination with OFDM/OQAM. However, our analysis shows that the CDMA-OFDM/OQAM combination has to be built taking into account particular features of the transmission channel. Our simulation results illustrate the 2×1 Alamouti coding scheme for which CDMA-OFDM/OQAM and CP-OFDM are compared in two different scenarios: (i) CDMA is performed in the frequency domain, (ii) CDMA is performed in time domain
Vertical Industries Requirements Analysis & Targeted KPIs for Advanced 5G Trials
Just before the commercial roll out of European 5G networks, 5G trials in
realistic environments have been recently initiated all around Europe, as pat
of the Phase 3 projects of 5GPPP H2020 program [1]. The goal is to showcase
5G's capabilities and to convince stakeholders about its value adding business
potential. The approach is to offer advanced 5G connectivity to real vertical
industries and showcase how it enables them to overcome existing 4G network
limitations and other long standing issues. The 5G EVE H2020 5GPPP project [2]
offers cutting edge 5G end to end facilities (in 4 countries) to diversified
vertical industry experimenters. The objective is to understand the needs of
prominent industries across Europe and to offer tailor made 5G experience to
each and every one of them. This paper contributes to the understanding of
vertical services' needs, by offering a thorough and concise vertical
requirements analysis methodology, including an examination of the 4G
limitations. It also provides real life values for the targeted KPIs of three
vertical sectors namely, Smart Industry (4.0), Smart Cities / Health and Smart
Energy, while assisting market roll out by prioritizing their connectivity
needs.Comment: EuCNC 201
Etude de la Corrélation des Canaux Massive MIMO pour l'Optimisation d'Algorithmes d'Allocation de Ressources Multi-Users 5G
International audienc
Machine learning proof-of-concept for Opportunistic Spectrum Access
Contribution à un workshop organisé par la standardisation ETSI RRS.The set of 5G requirements show that future radio systems should answer to network capabilities in terms of : capacity, spectrum for future evolutions, fixed-mobile convergence, integration of 3GPP and and robustness, cost efficiency, etc. In parallel, new user experiences area, from static to high-speed-throughput per user/ application, E2E to the need of new enablers for business as: Internet of Things (IoT), V2V communications. This ecosystem points out that Opportunistic Spectrum 5G network optimization
Optimal non-outage probability maximizing the outage rate in Rayleigh channel
International audienceIn this paper, we derive an analytic closed-form of the optimal non-outage probability value which maximizes the outage rate in a Rayleigh channel. Furthermore, asymptotic approximations of both the optimal non-outage probability and the maximum outage rate can be deduced from the proposed analysis
Efficient System Capacity User Selection Algorithm in MU-MIMO
International audienceRadio resource allocation is a major research field in wireless networks. The main challenge is to find the most suitable user for each time and frequency resource to ensure the Quality of Service (QoS) requirements. The use of Massive Multiple-Input-Multiple-Output (MIMO) makes it possible to simultaneously schedule several users on the same time and frequency resources. This is a new paradigm for resource scheduling. In this context, resource allocation algorithms have to account for the choice of users served on the same time and frequency resource in their decision mechanism. In this paper we analyze the impact of different group sizes on system capacity using several user selection algorithms and we propose a new user selection algorithm which performs closer to the optimal algorithm proposed in the literature