Compensation of Fading Channels Using Partial Combining Equalizer in MC-CDMA Systems

Zidane, Mohammed; Safi, Said; Sabri, Mohamed

doi:10.26636/jtit.2017.1.644

Cited by 6 publications

(1 citation statement)

References 11 publications

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“…Fateh et al [13] evaluate the performance of MC-CDMA systems employing single-user detection techniques, while Zidane et al [14] conduct a comparative study between adaptive and blind algorithms for channel identification and equalization in MC-CDMA. Additionally, studies by Zidane et al [15] and Safi et al [16] explore compensation methods for fading channels and utilize higher-order cumulants for equalization in MC-CDMA. Furthermore, Frikel et al [17] propose a channel identification scheme that uses chaos for a multicarrier code division multiple access system.…”

Section: Related Workmentioning

confidence: 99%

Improving Performance of MC-CDMA Systems Using UTTCM Channel Coding

Bendjillali,

Bendelhoum,

Elarbi

et al. 2024

JTIT

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Over the past decade, personal communications have witnessed exponential growth, fueled by the increasing number of connected users and the diversity of transmitted data types. This expansion necessitates a boost in the transmission systems' capacity to accommodate higher user numbers and data rates, simultaneously striving to optimize cost and complexity. Consequently, future communication systems are pivoting towards multi-carrier spread spectrum techniques (MC-CDMA), capitalizing on the robustness of OFDM multi-carrier transmissions against multipath propagation and leveraging the flexibility of the code division multiple access (CDMA) technique. This study addresses data transmission quality-related concerns within an MC-CDMA system by implementing UTTCM error correction codes. These codes aim to enhance channel spectrum efficiency and mitigate error probability. Simulation results demonstrate that the proposed transmission scheme offers significant improvements in terms of bit error rate and signal-to-noise ratio, while maximizing the bandwidth shared among users. Additionally, the incorporation of such equalization techniques as zero forcing (ZF) and minimum mean square error (MMSE), ensures extensive compensation for the channel selectivity effect.

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Section: Related Workmentioning

confidence: 99%

Improving Performance of MC-CDMA Systems Using UTTCM Channel Coding

Bendjillali,

Bendelhoum,

Elarbi

et al. 2024

JTIT

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Using Least Mean p-Power Algorithm to Correct Channel Distortion in MC-CDMA Systems

Zidane¹,

Safi²,

Sabri³

et al. 2018

JTIT

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This work focuses on adaptive Broadband Radio Access Network (BRAN) channel identiﬁcation and on downlink Multi-Carrier Code Division Multiple Access (MCCDMA) equalization. We use the normalized BRAN C channel model for 4G mobile communications, distinguishing between indoor and outdoor scenarios. On the one hand, BRAN C channel parameters are identiﬁed using the Least Mean p-Power (LMP) algorithm. On the other, we consider these coeﬃcients in the context of adaptive equalization. We provide an overview and a mathematic formulation of MC-CDMA systems. According to these fundamental concepts, the equalizer technique is investigated analytically to compensate for channel distortion in terms of the bit error rate (BER). The numerical simulation results, for various signal-to-noise ratios and diﬀerent p threshold, show that the presented algorithm is able to simulate the BRAN C channel measured with different accuracy levels. Furthermore, as far as the adaptive equalization problem is concerned, the results obtained using the zero-forcing equalizer demonstrate that the algorithm is adequate for some particular cases of threshold p.

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Performance Evaluation of MC-CDMA Systems with Single User Detection Technique using Kernel and Linear Adaptive Method

Fateh¹,

Darif²,

Safi³

2021

JTIT

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Among all the techniques combining multi-carrier modulation and spread spectrum, the multi-carrier code division multiple access (MC-CDMA) system is by far the most widely studied. In this paper, we present the performance of the MC-CDMA system associated with key single-user detection techniques. We are interested in problems related to identification and equalization of mobile radio channels, using the kernel method in Hilbert space with a reproducing kernel, and a linear adaptive algorithm, for MC-CDMA systems. In this context, we tested the efficiency of these algorithms, considering practical frequency selective fading channels, called broadband radio access network (BRAN), standardized for MC-CDMA systems. As far as the equalization problem encountered after channel identification is concerned, we use the orthogonality restoration combination (ORC) and the minimum mean square error (MMSE) equalizer techniques to correct the distortion of the channel. Simulation results demonstrate that the kernel algorithm is efficient for practical channels.

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Compensation of Fading Channels Using Partial Combining Equalizer in MC-CDMA Systems

Cited by 6 publications

References 11 publications

Improving Performance of MC-CDMA Systems Using UTTCM Channel Coding

Improving Performance of MC-CDMA Systems Using UTTCM Channel Coding

Using Least Mean p-Power Algorithm to Correct Channel Distortion in MC-CDMA Systems

Performance Evaluation of MC-CDMA Systems with Single User Detection Technique using Kernel and Linear Adaptive Method

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