2020
DOI: 10.11591/ijeecs.v20.i1.pp239-247
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Efficient time reversal strategy for MISO-OFDM systems

Abstract: In this work, we are interested in implementing, developing, and evaluating a time reversal strategy for a multiple-input single-output orthogonal frequency division multiplexing system. This strategy enjoys a good trade-off between the computational complexity and performance in terms of bit error rate where it offers a good coding gain by forming a beam in the direction of the destination at a price of channel state information available at the transmitter. In time reversal technique, a higher coding and div… Show more

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Cited by 3 publications
(4 citation statements)
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References 23 publications
(34 reference statements)
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“…In Figure 6, the decoding algorithms of LDPC codes GA-NMS, NMS, and the standard MS are studied and evaluated in terms of convergence behaviors throughout the iterations when decoding messages coded by WRAN code at non-noisy region SNR= [3,4,5,6] dB. The GA-NMS converges faster than the NMS at higher SNR values SNR= [4,5,6] dB, by comparing the efficiency of the GA-NMS algorithm for the both WRAN and WIMAX codes already evaluated in [20]. It is seen that the results obtained by WIMAX code are better than those obtained by WRAN code, resulting from the difference of size a difference of cyclic structure for both codes and others parameters.…”
Section: Convergence Behaviorsmentioning
confidence: 99%
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“…In Figure 6, the decoding algorithms of LDPC codes GA-NMS, NMS, and the standard MS are studied and evaluated in terms of convergence behaviors throughout the iterations when decoding messages coded by WRAN code at non-noisy region SNR= [3,4,5,6] dB. The GA-NMS converges faster than the NMS at higher SNR values SNR= [4,5,6] dB, by comparing the efficiency of the GA-NMS algorithm for the both WRAN and WIMAX codes already evaluated in [20]. It is seen that the results obtained by WIMAX code are better than those obtained by WRAN code, resulting from the difference of size a difference of cyclic structure for both codes and others parameters.…”
Section: Convergence Behaviorsmentioning
confidence: 99%
“…We are living in an era of advanced technology, the need for wireless access for voice and multimedia has increased enormously. This need has created a wide range of technical challenges like cost, high speed, throughput, low complexity, low power and low latency as in [1]- [4]. Low density parity check (LDPC) codes [5] of shorter length (i.e., codes with dimension k in the range of 50 to 1000 bits) are considered as they offer advantages in terms of latency and complexity, at the cost of performance degradation due to the increased number of short cycles in the tanner graph (TG) [6], contrary to the LDPC code with the large block length as we can see in the study presented in [7] or [8].…”
Section: Introductionmentioning
confidence: 99%
“…In the recent years, several techniques have been proposed in the field of wireless communications to enhance the error performance of the whole system and its achievable throughput [1][2][3][4][5][6]. A group of these techniques works by increasing or optimizing the transmitted power, while another group is applying powerful forward error detection and correction techniques to increase the achievable gain.…”
Section: Introductionmentioning
confidence: 99%
“…Later on, several schemes are suggested to improve both diversity order and coding gain by combining diversity techniques with coding algorithms including but not limited to space-frequency coding (SFC) schemes and spacetime coding (STC) schemes [10,[13][14][15]. Furthermore, special diversity techniques using beamforming schemes [11][12][17][18][19] are used to steer the transmitting antenna beams towards the destination terminal to enhance the BER performance and the throughput by maximizing the received signal to noise ratio (SNR), given that the BER performance of the multi-antenna systems suffer from the multiuser interference and channel impairments [1][2][3][4][5][6][7][8][9]. In addition, it is very well known that it is difficult to deploy several antennas at the same mobile station due to several limitations.…”
Section: Introductionmentioning
confidence: 99%