Evaluation of different quantization resolution levels on the BER performance of massive MIMO systems under different operating scenarios

AL-Qaysi, Hayder Khaleel; Mahmood, Tahreer; Humood, Khalid Awaad

doi:10.11591/ijeecs.v23.i3.pp1493-1500

Cited by 6 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The major of this technique is to achieve both a high data rate and a less bit error probability concurrently. This achievement is accomplished by enabling the receiver to decode and detecte all the received modulated symbols cocurrently and independently in which they are transmitted at single symbol period by employing spatial multiplexing technique at the transmitter such as vertical-bell laboratories layered space-time (V-BLAST), horizontal-BLAST (H-BLAST), and diagonally-BLAST (D-BLAST) [1], [12].…”

Section: Parallel Decoding and Detection Technique For Mimo Systemsmentioning

confidence: 99%

Wireless transceiver bit error rate and capacity improvement using advanced decoding techniques

2022

View full text Add to dashboard Cite

This paper considers advanced techniques for multiple-input multiple-output (MIMO) detection and decoding techniques to improve bit error rate (BER) and channel capacity. These are requirements for sixth generation (6G) (the next generation) access networks. A parallel decoding and detection scheme and a soft bit decoding scheme are implemented meregely to boost the overall performance of MIMO communication systems. The proposed new system is called the advanced system which comprises the two mentioned advanced techniques of decoding. For simplicity, these advanced techniques are employed and developed using two antennas at both ends, transmitter, and receiver. Then it is compared with the other different techniques which are spatial multiplexing SM–sequential decoding zero forcing-interference cancelation (ZF-IC) technique and SM–parallel decoding technique. We show that the advanced system outperforms the other two mentioned systems by achieving ultra-reliability and a high capacity simultaneously without employing space time coding and error control coding techniques. Additionally, better BER performance is achieved with less resolution and the quantization error reduced with an increasing the resolution. The new advanced system is simulated and evaluated with three terms, channel capacity, BER, and quantization error.

show abstract

Section: Parallel Decoding and Detection Technique For Mimo Systemsmentioning

confidence: 99%

Wireless transceiver bit error rate and capacity improvement using advanced decoding techniques

2022

View full text Add to dashboard Cite

show abstract

“…The outage probability 𝑃 𝑜𝑢𝑡 of the equalized received signal can be expressed according to [27] as (17).…”

Section: Outage Probability Analysis Of the Hybrid Equalizermentioning

confidence: 99%

“…This is because MMSE equalizer provides a better noise immunity with marginal interference mitigation while ZF enhances noise in the channel. AL-Qaysi et al [17] worked on the BER performance of different quantization resolution levels on massive MIMO systems under different operating scenarios. In the work, MMSE was employed to mitigate the effect of inter user interference of the vector of the transmitted signal symbols from the vector of the received signal symbols.…”

Section: Introductionmentioning

confidence: 99%

Hybridization of zero forcing-minimum mean square error equalizer in multiple input multiple output system

Akande

Adeyemo

Arowolo

et al. 2022

IJEECS

View full text Add to dashboard Cite

Transmission of high data rate over multipath environment is associated with many wireless applications. However, this transmission results in high delay which leads to ISI distortion and causes high error. The existing LE in MIMO systems such as ZF equalizer used in addressing this problem reduces the ISI distortion completely but results in noise amplification. Likewise, MMSE equalizer only reduces the noise but cannot eliminate ISI. Therefore, this paper proposed a hybrid LE for Wi-Fi over Weibull fading channel. The hybridized ZF-MMSE equalizer was developed using conventional ZF and MMSE equalizers. Digital transmitted signal propagated over Weibull fading channel is received at the receiver through multiple antennas and then combined using MRC. The combined signal is then equalized using hybrid ZF-MMSE to eliminate both the ISI and the amplified noise. The developed model was simulated in MATLAB software environment and evaluation was performed using BER and Pout. The results obtained revealed that the hybrid ZF-MMSE equalizer gave better performance over existing equalizers in a MIMO system. Therefore, the proposed equalizer will help improve the performance of the Wi-Fi technology.

show abstract

Enhancement the Time Variation of Channel Gain by Realize Doppler Spectrum Using Filtered White Gaussian Noise (FWGN) Model

Mahmood

Ahmed

Hameed

2023

Wireless Pers Commun

View full text Add to dashboard Cite

Evaluation of different quantization resolution levels on the BER performance of massive MIMO systems under different operating scenarios

Cited by 6 publications

References 21 publications

Wireless transceiver bit error rate and capacity improvement using advanced decoding techniques

Wireless transceiver bit error rate and capacity improvement using advanced decoding techniques

Hybridization of zero forcing-minimum mean square error equalizer in multiple input multiple output system

Enhancement the Time Variation of Channel Gain by Realize Doppler Spectrum Using Filtered White Gaussian Noise (FWGN) Model

Contact Info

Product

Resources

About