System Level Evaluation of Innovative Coded MIMO-OFDM Systems for Broadcasting Digital TV

Nasser, Youssef; Hélard, Jean-François; Crussière, Matthieu

doi:10.1155/2008/359206

Cited by 15 publications

(10 citation statements)

References 16 publications

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“…Here, we distinguish the conventional linear MIMO detection techniques zero forcing (ZF) [8] and minimum mean square error (MMSE) [8]. Although linear detection approaches are attractive in terms of their computational complexity, they might lead to a non-negligible degradation in terms of performance [9].…”

Section: Introductionmentioning

confidence: 99%

A simplified hard output sphere decoder for large MIMO systems with the use of efficient search center and reduced domain neighborhood study

Nasser

Aubert

Nouvel

et al. 2015

J Wireless Com Network

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Multiple-input multiple-output (MIMO) with a spatial-multiplexing (SM) scheme is a topic of high interest for the next generation of wireless communications systems. At the receiver, neighborhood studies (NS) and lattice reduction (LR)-aided techniques are common solutions in the literature to approach the optimal and computationally complex maximum likelihood (ML) detection. However, the NS and LR solutions might not offer optimal performance for large dimensional systems, such as large number of antennas, and high-order constellations when they are considered separately. In this paper, we propose a novel equivalent metric dealing with the association of these solutions by introducing a reduced domain neighborhood study. We show that the proposed metric presents a relevant complexity reduction while maintaining near-ML performance. Moreover, the corresponding computational complexity is shown to be independent of the constellation size, but it is quadratic in the number of transmit antennas. For instance, for a 4 × 4 MIMO system with 16-QAM modulation on each layer, the proposed solution is simultaneously near-ML with perfect and real channel estimation and ten times less complex than the classical neighborhood-based K-best solution.

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Section: Introductionmentioning

confidence: 99%

A simplified hard output sphere decoder for large MIMO systems with the use of efficient search center and reduced domain neighborhood study

Nasser

Aubert

Nouvel

et al. 2015

J Wireless Com Network

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“…Moreover, the specific channel realization may result in a performance which is different from that predicted by the average SNR technique. Indeed, if we consider two average SNR values Y t and Y 2 such that Y t > Y 2 ' the average SNR approach does not guarantee that the estimated PERs at the at the output of the channel decoder satisfy PER\< PER 2 • Another solution to predict accurately the PER at the output of the channel decoder is the use of the EESM [5] [6] [7]. The results given in different systems [6] [7][8] verify the proposed PER estimation technique at the output of the channel decoder.…”

Section: System Modelmentioning

confidence: 99%

A cross-layer design approach in cooperative OFDM systems: Application to mobile cell-border situation

Marouni

Nasser

Hélard

et al. 2009

2009 International Conference on Ultra Modern Telecommunications &Amp; Workshops

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The cooperative communication has recently In this paper, we propose a complete cross layer design for a gained momentum in the research community. This technique cooperative orthogonal frequency division multiplexing utilizes the notion ofrelay, as an intermediate node between (OFDM) network. This design applied at the relay node is the source and the destination, to enhance the overall system achieved through exponential effective signal to noise ratio performance. In this paper we explored the benefits of (SNR) mapping (EESM). Using the estimated channel adaptive cooperation, in which the relay adapts its relaying coefficients, the EESM technique allows us to estimate the process in response to channel conditions and type of data packet error rate (PER) at the output of the channel decoder. priorities. In this paper, we propose to use the exponential Moreover, the PERs will not only be accurate but also the effective signal to noise (SNR) mapping (EESM) technique to estimation will be rapid. Indeed, the EESM allows the relay estimate the packet error rate (PER) at the relay node. Once to estimate the PERs without waiting the decoding process at estimated, the PER is then used to adapt the resource the destinations. This will allow the system to use these allocation process at the medium access control (MAC) layer accurate estimations directly so as to adapt the transmission according to different data priorities required by the as quickly as possible. Using the simple COOPMAC protocol destinations. We show that by using a new adaptive resource [3] at the MAC layer in combination with estimated PER at allocation technique in combination with the cross layer the physical layer, the sources will select the best route to design approach, we can achieve Real-Time data constraints transmit their data to their destinations. We show that the with no additional overhead. The simulation results given by~daptive resource allocation using the estimated PERs applying this concept to cell border situation shows the improve the performance of the whole cooperative network efficiency ofthe proposed approach.by sharing the transmission between the destinations. The simulation results given by applying this concept to a cell border situation shows the efficiency of the proposed approach.

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“…MIMO codes in SFNs have been earlier studied in [3]. They propose a layered code design called a 3D code that combines the positive aspects of Alamouti coding [4] and Golden codes [5] in order to achieve good performance even with unequal received powers.…”

Section: Introductionmentioning

confidence: 99%

Reduced complexity space-time coding in single-frequency networks

Polonen

Koivunen

2011

2011 IEEE Wireless Communications and Networking Conference

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Mobile broadcasting MIMO systems differ in several essential ways from conventional MIMO applications, especially when they are operating in single-frequency networks. There are certain channel features, like the imbalance of received average powers, which should be taken into account in system design. In this paper, space-time coding that allows reduced complexity maximum likelihood decoding of the received signal in a single-frequency network is introduced. A novel optimization criterion for fast-decodable 4 × 2 structures is proposed and the performance in single-frequency networks is studied in different scenarios through simulations. It is noticed that the reduced complexity codes suffer only a fraction of a decibel performance loss compared to an earlier proposed alternative for digital video broadcasting while achieving significant savings in computational complexity when maximum likelihood decoding is applied.

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System Level Evaluation of Innovative Coded MIMO-OFDM Systems for Broadcasting Digital TV

Cited by 15 publications

References 16 publications

A simplified hard output sphere decoder for large MIMO systems with the use of efficient search center and reduced domain neighborhood study

A simplified hard output sphere decoder for large MIMO systems with the use of efficient search center and reduced domain neighborhood study

A cross-layer design approach in cooperative OFDM systems: Application to mobile cell-border situation

Reduced complexity space-time coding in single-frequency networks

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