Efficient Pulse Shaping and Robust Data Transmission Using Wavelets

Oltean, Marius; Nafornita, Miranda

doi:10.1109/wisp.2007.4447628

Cited by 10 publications

(9 citation statements)

References 3 publications

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“…Similar, simplified simulation scenarios for WM were used in [6,[8][9][10][11]22]. The comparison in [6] shows that the BER performance of WM and OFDM is similar, on additive white Gaussian noise (AWGN) channels, and independent of the MW selection.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…There are different forms of multicarrier wavelet-based transmission [6][7][8][9][10][11]22], and most of them [6][7][8][9][10]22] use the inverse DWT (IDWT) for the implementation of the multicarrier transmitter. Taking into account the filter bank (FB) implementation of IDWT in Fig.…”

Section: Wmmentioning

confidence: 99%

“…The subject of this paper is the timefrequency localization as searching criterion for the most appropriate MW for WM. Despite the fact that OFDM [2][3][4] and WM [5][6][7][8][9][10][11][12][13] are subjects well known in literature, the increased flexibility of wavelets was not exploited yet to adapt the transmission to the communication channel. The adaptation to the communication channel is realized in OFDM-based wireless communication systems by the multiple access mechanisms obtaining the so-called OFDM access (OFDMA) systems, which take into account the frequency selectivity of the channel only.…”

Section: Introductionmentioning

confidence: 99%

“…The adaptation to the communication channel is realized in OFDM-based wireless communication systems by the multiple access mechanisms obtaining the so-called OFDM access (OFDMA) systems, which take into account the frequency selectivity of the channel only. The adaptation to communication channel is not considered yet in case of WM-based communication systems [5,6,[8][9][10][11][12][13], with a single exception [7]. This reference represents the start point for this paper.…”

Section: Introductionmentioning

confidence: 99%

“…The theoretical results were established using the same assumptions as in the references [8,14,15,[18][19][20][21]. For the simulation scenarios, we have made the same assumptions as in the references [6,[8][9][10][11]22]. We have considered two radio communication channels: a flat fading Rayleigh channel and a frequency-selective fading Rayleigh channel.…”

Section: Introductionmentioning

confidence: 99%

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Time-frequency localization as mother wavelet selecting criterion for wavelet modulation

Isar

Oltean

2015

Ann. Telecommun.

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Throughout recent years, the discrete wavelet transform (DWT) was used in communications for wavelet modulation (WM). One of its features is the mother wavelets (MW) used. An important number of MW were already proposed in the literature. We investigate in this paper the selection of the MW for the WM, on the basis of its time-frequency localization. We prove, with the aid of Balian-Low theorem, that wavelets have better time-frequency localization than the elements of the bases which are used for signal decomposition in other orthogonal modulation techniques, as, for example, in orthogonal frequency division multiplexing (OFDM). A procedure for the evaluation of the time-frequency localization of MW belonging to Daubechies family is proposed. This procedure is next compared against the WM transmission on different channel types, which reveal the best MW to be used. This advantage of the WM versus OFDM is highlighted by simulation results in fading channels.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Wmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Time-frequency localization as mother wavelet selecting criterion for wavelet modulation

Isar

Oltean

2015

Ann. Telecommun.

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Cognitive Radio Networks

Xiao¹,

Hu²

2020

Encyclopedia of Wireless Networks

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Pour le problème i), nous concevons un algorithme aidé par la distribution de probabilité du nombre de visiteurs qui se présentent simultanément. Pour le problème ii), nous proposons un système de contrôle d'interférence nommé BDBF : Diagonalisation Block (BD) pré-codage utilisant des informations sur l'état du canal en combinaison avec un synthétiseur de faisceaux optimal auxiliaire (BF). Dans la simulation, nousétudions les facteurs qui influencent le choix du nombre d'antennes nombre d'antennes d'émission sur le point d'accès des petites cellules. Nous vérifions que BDBF peut augmenter la capacité si comparé qu'un simple beamforming optimal (BF). Enfin dans le chaptire 7, nousétudions la question de la concurrence par rapportà la coopération sur la liaison descendante entre les stations de base (BS) pour des réseaux sans fil hétérogènes (HetNets) avec interférences MIMO. Nous présentons un scénario dans lequel une station de base de type macro-cellule (MBS) et une station de base co-canal de type femto cellule (FBS) desservant chacune simultanément leur propre terminaux (ou UE pour User Equipment). Les stations décident si elles agissent individuellement ou si elles coopèrent dans un cadre "Coordinated Multipoint Transmission"(connu sous l'acronyme CoMP). Nous utilisonsà la fois la théorie des jeux non-coopératifs et coopératifs dans une procédure unifiée pour analyser le processus de prise de décision. Les stations de base de ce système unifié doivent fonctionnerà unéquilibre coordonné. Cetéquilibre s'appuie sur la métrique Maximum Expected Sum Rate (MESR) Correlated Equilibrium (CE) qui est comparéeà la valeur de la coalition pourétablir ou assurer la stabilité de la coalition. Nous prouvons qu'il existe un seuil de séparation géographique, d th , entre l'équipement utilisateur de la macro-cellule (MUE) et FBS, en vertu duquel la région de coordination est non vide. Les résultats théoriques sont vérifiés par simulation. Mots-clés Réseaux radio cognitives, modulation multiporteuse, allocation des ressources, routage, ajustement de la puissance d'émission vers l'utilisateur (beamforming), réseau sans fil hétérogène, et la théorie des jeux.

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A-STBC incorporated power-efficient Radio over Fibre system

Kaur

Sharma²

2019

Optics Communications

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Efficient Pulse Shaping and Robust Data Transmission Using Wavelets

Cited by 10 publications

References 3 publications

Time-frequency localization as mother wavelet selecting criterion for wavelet modulation

Time-frequency localization as mother wavelet selecting criterion for wavelet modulation

Cognitive Radio Networks

A-STBC incorporated power-efficient Radio over Fibre system

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