Tensor space-time coding for MIMO wireless communication systems
type: Distribution
access URL: https://theses.hal.science/tel-00994113
format: HTML
issued: 2026-05-05T10:41:12.695076
modified: 2026-05-05T10:41:12.664093

test_moissonnage_selune
type: Agent

Tensor space-time coding for MIMO wireless communication systems
type: Dataset
contact point: Organization
  fn: CCSD
keyword: paratuck-model
keyword: space-time-code
keyword: modele-candecompparafac
keyword: estimation-de-symbole
keyword: tensor-modeling
keyword: theses
keyword: spiotherengineering-sciences-physicsother
keyword: candecompparafac-model
keyword: ofdm
keyword: codage-spatio-temporel
keyword: symbol-estimation
keyword: infoeu-reposemanticsdoctoralthesis
keyword: codage-tensoriel
keyword: cdma
keyword: systemes-de-communication-sans-fil-mimo
keyword: modele-paratuck
keyword: mimo-wireless-communication-systems
landing page: https://theses.hal.science/tel-00994113
description: Since the growing success of mobile systems in the 1990s, new wireless technologies have been developed in order to support a growing demand for high-quality multimedia services with low error rates. An interesting way to improve the error performance and to achieve better transmission rates is to combine the use of various diversities and multiplexing access techniques in the MIMO system context. The incorporation of oversampling, spreading and multiplexing operations and additional diversities on wireless systems lead to multidimensional received signals which naturally satisfy tensor models. This thesis proposes a new tensorial approach based on a tensor space-time (TST) coding for MIMO wireless communication systems. The signals received by multiple antennas form a fourth-order tensor that satisfies a new tensor model, referred to as PARATUCK-(2,4) (PT-(2,4)) model. A performance analysis is carried out for the proposed TST system and a recent space-time-frequency (STF) system, which allows to derive expressions for the maximum diversity gain over a at fading channel. An uplink processing based on the TST coding with allocation resources is proposed. A new tensor decomposition is introduced, the so-called PT-(N1,N), which generalizes the standard PT-2 and our PT-(2,4) model. This thesis establishes uniqueness conditions for the PARATUCK-(N1,N) model. From these results, joint symbol and channel estimation is ensured for the TST and STF systems. Semi-blind receivers are proposed based on the well-known Alternating Least Squares algorithm and the Levenberg-Marquardt method, and also a new receiver based on the Kronecker Least Squares (KLS) for both systems.
identifier: NNT: 2014NICE4014
issued: 2026-05-05T10:41:12.686965
language: en
modified: 2026-05-05T10:41:12.686970