Direct-sequence spread spectrum time division multiple access with direct detection for latency optimized passive optical network

Chen, Xi; Hu, Weisheng; Feng, Da

doi:10.1016/j.optcom.2022.127955

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…In this section, we describe an equalization based on a new concept using positive definite kernels. It is a tech-nology considered as candidates for wireless communication systems of the fourth generation [19]. The MC-CDMA signal is derived from the concatenation of the operation spread spectrum by direct sequence modulation and multi-carrier [19,20].…”

Section: Mc-cdma Systemmentioning

confidence: 99%

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Supervised identification and equalization of transmission channel using reproducing kernel Hilbert space

Badi

Badi²,

Khamjane³

et al. 2023

reks

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The subject matter of the article is to identify and equalize the parameters of telecommunication channels. The goal is to develop a new mathematical approach based on positive definite kernels on a Hilbert space. The tasks to be solved are: (a) to formulate a mathematical procedure based on a kernel; a kernel is a function that maps pairs of data points to a scalar value, and positive definite kernels are widely used in machine learning and signal processing applications; (b) to identify the channel parameters using the proposed method; and (c) to apply the Zero Forcing and MMSE equalizer to measure the performance of the proposed system. This article introduces a new method to address the problem of supervised identification of transmission channel parameters based on the positive definite kernel on Hilbert space, which implements Gaussian kernels. The input sequence, used as an input for a system or process, is assumed to be independent, have a zero mean, a non-Gaussian distribution, and be identically distributed. These assumptions are made to simplify the analysis and modeling. The proposed method for estimating the parameters of the channel impulse response yields promising results, indicating that the estimated parameters are close to the measured parameters of the model for various channels. The convergence of the estimated parameters toward the measured parameters of the model is particularly noticeable for BRAN A (indoor) and BRAN E (outdoor) channels. The method has been tested with different channel models, and the results remain consistent. Overall, the proposed method appears to be a reliable and effective approach for estimating channel impulse response parameters. The accuracy of the estimated parameters is particularly noteworthy considering the challenges inherent in modeling wireless channels, which can be influenced by various factors such as obstacles and interference. These findings have important implications for the design and optimization of wireless communication systems. Accurate estimates of channel impulse response parameters are essential for predicting and mitigating the effects of channel distortion and interference, and the proposed method represents a promising tool for achieving this goal. Further research and testing are needed to validate and refine the method and to explore its potential applications in different settings and scenarios. We evaluated the performance of the system using the estimated parameters obtained from the proposed method. Two equalizers, MMSE and ZF, were used, and the results show that MMSE outperforms ZF. Both equalizers produced highly satisfactory outcomes.

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Section: Mc-cdma Systemmentioning

confidence: 99%

“…It is a tech-nology considered as candidates for wireless communication systems of the fourth generation [19]. The MC-CDMA signal is derived from the concatenation of the operation spread spectrum by direct sequence modulation and multi-carrier [19,20]. The MC-CDMA modulator spreads the data a i for each user i in the frequency domain.…”

Section: Mc-cdma Systemmentioning

confidence: 99%

Supervised identification and equalization of transmission channel using reproducing kernel Hilbert space

Badi

Badi²,

Khamjane³

et al. 2023

reks

View full text Add to dashboard Cite

show abstract

The Need for Energy-Efficient Networks: A Review of Green Communication Systems and Network Architectures

Safitra,

Lubis,

Lubis

et al. 2024

Lecture Notes in Networks and Systems

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On the time complexity of achieving optimal throughput in time division multiple access communication networks

Nofal

2024

MATH

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<abstract><p>The fundamental problem of finding transmission schedules for achieving optimal throughput in time division multiple access (TDMA) communication networks is known to be NP-hard. Let $ \mathcal{N} $ be a scheduled $ k $-time slot TDMA network with $ n $ stations and $ m $ links. We showed that an optimal link schedule for $ \mathcal{N} $ can be computed recursively with a recursion tree of logarithmic depth $ \mathcal{O}(\ln m) $ in expectation. Additionally, we showed that optimal link schedules for those TDMA networks, with recursion trees of depth meeting the expectation, can be found in time $ \mathcal{O}(m^{2+\ln k}) $. Likewise, we discuss analogous results for computing optimal station schedules of TDMA networks.</p></abstract>

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Direct-sequence spread spectrum time division multiple access with direct detection for latency optimized passive optical network

Cited by 3 publications

References 34 publications

Supervised identification and equalization of transmission channel using reproducing kernel Hilbert space

Supervised identification and equalization of transmission channel using reproducing kernel Hilbert space

The Need for Energy-Efficient Networks: A Review of Green Communication Systems and Network Architectures

On the time complexity of achieving optimal throughput in time division multiple access communication networks

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