Skip to Main content Skip to Navigation

L’amélioration des performances des systèmes sans fil 5G par groupements adaptatifs des utilisateurs

Abstract : 5G is envisioned to tackle, in addition to a considerable increase in traffic volume, the task of connecting billions of devices with heterogeneous service requirements. In order to address the challenges of 5G, we advocate a more efficient use of the available information, with more service and user awareness, and an expansion of the RAN intelligence. In particular, we focus on two key enablers of 5G, namely massive MIMO and proactive caching. In the third chapter, we focus on addressing the bottleneck of CSI acquisition in TDD Massive MIMO. In order to do so, we propose novel spatial grouping schemes such that, in each group, maximum coverage of the signal’s spatial basis with minimum overlapping between user spatial signatures is achieved. The latter enables to increase connection density while improving spectral efficiency. TDD Massive MIMO is also the focus of the fourth chapter. Therein, based on the different rates of wireless channels aging, CSI estimation periodicity is exploited as an additional DoF. We do so by proposing a dynamic adaptation of the TDD frame based on the heterogeneous channels coherence times. The Massive MIMO BSs are enabled to learn the best uplink training policy for long periods. Since channel changes result primarily from device mobility, location awareness is also included in the learning process. The resulting planning problem was modeled as a two-time scale POMDP and efficient low complexity algorithms were provided to solve it. The fifth chapter focuses on proactive caching. We focus on improving the energy efficiency of cache-enabled networks by exploiting the correlation in traffic patterns in addition to the spatial repartition of requests. We propose a framework that strikes the optimal trade-off between complexity and truthfulness in user behavior modeling through adaptive content popularity-based clustering. It also simplifies the problem of content placement, which results in a rapidly adaptable and energy efficient content allocation framework.
Complete list of metadatas

Cited literature [197 references]  Display  Hide  Download
Contributor : Abes Star :  Contact
Submitted on : Friday, May 11, 2018 - 1:10:07 PM
Last modification on : Wednesday, September 16, 2020 - 4:47:36 PM
Long-term archiving on: : Monday, September 24, 2018 - 11:15:45 AM


Version validated by the jury (STAR)


  • HAL Id : tel-01789817, version 1


Salah Eddine Hajri. L’amélioration des performances des systèmes sans fil 5G par groupements adaptatifs des utilisateurs. Sciences de l'information et de la communication. Université Paris-Saclay, 2018. Français. ⟨NNT : 2018SACLC029⟩. ⟨tel-01789817⟩



Record views


Files downloads