國立虎尾科技大學 |

Simulations of Implementation of Advanced Communication Technologies.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Simulations of Implementation of Advanced Communication Technologies./
作者:	Moutushi, Ivy Yousuf.
面頁冊數:	1 online resource (144 pages)
附註:	Source: Masters Abstracts International, Volume: 85-03.
Contained By:	Masters Abstracts International85-03.
標題:	Statistics. -
電子資源:	click for full text (PQDT)
ISBN:	9798380264105

Simulations of Implementation of Advanced Communication Technologies.
Moutushi, Ivy Yousuf.

Simulations of Implementation of Advanced Communication Technologies. - 1 online resource (144 pages)

Source: Masters Abstracts International, Volume: 85-03.

Thesis (M.Sc.)--West Virginia University, 2023.

Includes bibliographical references

Wireless communication systems have seen significant advancements with the introduction of 3G, 4G, and 5G mobile standards. Since the simulation of entire systems is complex and may not allow evaluation of the impact of individual techniques, this thesis presents techniques and results for simulating the performance of advanced signaling techniques used in 3G, 4G, and 5G systems, including Code division multiple access (CDMA), Multiple Input Multiple Output (MIMO) systems, and Low-Density Parity Check (LDPC) codes. One implementation issue that is explored is the use of quantized Analog to Digital Converter (ADC) outputs and their impact on system performance.Code division multiple access (CDMA) is a popular wireless technique, but its effectiveness is limited by factors such as multiple access interference (MAI) and the near far effect (NFE). The joint effect of sampling and quantization on the analog-digital converter (ADC) at the receiver's front end has also been evaluated for different quantization bits. It has been demonstrated that 4 bits is the minimum ADC resolution sensitivity required for a reliable connection for a quantized signal with 3- and 6-dB power levels in noisy and interference-prone environments.The demand for high data rate, reliable transmission, low bit error rate, and maximum transmission with low power has increased in wireless systems. Multiple Input Multiple Output (MIMO) systems with multiple antennas at both the transmitter and receiver side can meet these requirements by exploiting diversity and multipath propagation. The focus of MIMO systems is on improving reliability and maximizing throughput. Performance analysis of single input single output (SISO), single input multiple output (SIMO), multiple input single output (MISO), and MIMO systems is conducted using Alamouti space time block code (STBC) and Maximum Ratio Combining (MRC) technique used for transmit and receive diversity for Rayleigh fading channel under AWGN environment for BPSK and QPSK modulation schemes. Spatial Multiplexing (SM) is used to enhance spectral efficiency without additional bandwidth and power requirements. Minimum mean square error (MMSE) method is used for signal detection at the receiver end due to its low complexity and better performance. The performance of MIMO SM technique is compared for different antenna configurations and modulation schemes, and the MMSE detector is employed at the receiving end.Advanced error correction techniques for channel coding are necessary to meet the demand for Mobile Internet in 5G wireless communications, particularly for the Internet of Things. Low Density Parity Check (LDPC) codes are used for error correction in 5G, offering high coding gain, high throughput, low latency, low power dissipation, low complexity, and rate compatibility. LDPC codes use base matrices of 5G New Radio (NR) for LDPC encoding, and a soft decision decoding algorithm is used for efficient Frame Error Rate (FER) performance. The performance of LDPC codes is assessed using a soft decision decoding layered message passing algorithm, with BPSK modulation and AWGN channel. Furthermore, the effects of quantization on LDPC codes are analyzed for both small and large numbers of quantization bits.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380264105Subjects--Topical Terms:

556824
Statistics.
Index Terms--Genre/Form:

554714
Electronic books.

Simulations of Implementation of Advanced Communication Technologies.
LDR:04572ntm a22003977 4500 001 1145138
005 20240617111354.5
006 m o d
007 cr mn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798380264105
035 $a (MiAaPQ)AAI30561022
035 $a (MiAaPQ)WVirginia12585
035 $a AAI30561022
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Moutushi, Ivy Yousuf. $3 1470360
245 1 0 $a Simulations of Implementation of Advanced Communication Technologies.
264 0 $c 2023
300 $a 1 online resource (144 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-03.
500 $a Advisor: Woerner, Brian.
502 $a Thesis (M.Sc.)--West Virginia University, 2023.
504 $a Includes bibliographical references
520 $a Wireless communication systems have seen significant advancements with the introduction of 3G, 4G, and 5G mobile standards. Since the simulation of entire systems is complex and may not allow evaluation of the impact of individual techniques, this thesis presents techniques and results for simulating the performance of advanced signaling techniques used in 3G, 4G, and 5G systems, including Code division multiple access (CDMA), Multiple Input Multiple Output (MIMO) systems, and Low-Density Parity Check (LDPC) codes. One implementation issue that is explored is the use of quantized Analog to Digital Converter (ADC) outputs and their impact on system performance.Code division multiple access (CDMA) is a popular wireless technique, but its effectiveness is limited by factors such as multiple access interference (MAI) and the near far effect (NFE). The joint effect of sampling and quantization on the analog-digital converter (ADC) at the receiver's front end has also been evaluated for different quantization bits. It has been demonstrated that 4 bits is the minimum ADC resolution sensitivity required for a reliable connection for a quantized signal with 3- and 6-dB power levels in noisy and interference-prone environments.The demand for high data rate, reliable transmission, low bit error rate, and maximum transmission with low power has increased in wireless systems. Multiple Input Multiple Output (MIMO) systems with multiple antennas at both the transmitter and receiver side can meet these requirements by exploiting diversity and multipath propagation. The focus of MIMO systems is on improving reliability and maximizing throughput. Performance analysis of single input single output (SISO), single input multiple output (SIMO), multiple input single output (MISO), and MIMO systems is conducted using Alamouti space time block code (STBC) and Maximum Ratio Combining (MRC) technique used for transmit and receive diversity for Rayleigh fading channel under AWGN environment for BPSK and QPSK modulation schemes. Spatial Multiplexing (SM) is used to enhance spectral efficiency without additional bandwidth and power requirements. Minimum mean square error (MMSE) method is used for signal detection at the receiver end due to its low complexity and better performance. The performance of MIMO SM technique is compared for different antenna configurations and modulation schemes, and the MMSE detector is employed at the receiving end.Advanced error correction techniques for channel coding are necessary to meet the demand for Mobile Internet in 5G wireless communications, particularly for the Internet of Things. Low Density Parity Check (LDPC) codes are used for error correction in 5G, offering high coding gain, high throughput, low latency, low power dissipation, low complexity, and rate compatibility. LDPC codes use base matrices of 5G New Radio (NR) for LDPC encoding, and a soft decision decoding algorithm is used for efficient Frame Error Rate (FER) performance. The performance of LDPC codes is assessed using a soft decision decoding layered message passing algorithm, with BPSK modulation and AWGN channel. Furthermore, the effects of quantization on LDPC codes are analyzed for both small and large numbers of quantization bits.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Statistics. $3 556824
650 4 $a Physics. $3 564049
650 4 $a Optics. $3 595336
650 4 $a Electromagnetics. $3 1178899
650 4 $a Electrical engineering. $3 596380
650 4 $a Communication. $3 556422
650 4 $a Aerospace engineering. $3 686400
650 4 $a Technology. $3 574163
650 4 $a Performance evaluation. $3 1246613
650 4 $a Communications systems. $3 1464670
650 4 $a Spectrum allocation. $3 1372737
650 4 $a Digital transmission. $3 1470365
650 4 $a Code Division Multiple Access. $3 1372843
650 4 $a Antennas. $3 1071085
650 4 $a Internet Protocol. $3 1470364
650 4 $a Low density parity check codes. $3 1470363
650 4 $a Bandwidths. $3 1372735
650 4 $a Power. $3 999190
650 4 $a Error correction & detection. $3 1466162
650 4 $a Signal to noise ratio. $3 1372789
650 4 $a Satellite communications. $3 1413505
650 4 $a Communication channels. $3 1470362
650 4 $a Block codes. $3 1470361
650 4 $a Wireless networks. $3 782903
650 4 $a Mean square errors. $3 1468316
650 4 $a Receivers & amplifiers. $3 1464667
650 4 $a Wireless communications. $3 1372840
655 7 $a Electronic books. $2 local $3 554714
690 $a 0538
690 $a 0459
690 $a 0544
690 $a 0607
690 $a 0752
690 $a 0605
690 $a 0463
710 2 $a West Virginia University. $3 1187945
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Masters Abstracts International $g 85-03.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30561022 $z click for full text (PQDT)