Guaranteeing QoS for NOMA-Enabled URLLC Based on <i>κ</i>–<i>μ</i> Shadowed Fading Model
Sixth-generation (6G) wireless communication scenarios are complex and diverse. Small-scale fading is a key part of wireless channels and its impact on performance in scenarios with time sensitivity and 6G ultrareliable and low latency communications (URLLC) quality-of-service requirements cannot be...
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MDPI AG
2022-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/14/5279 |
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| author | Jie Zeng Yuxin Song Teng Wu Tiejun Lv Shidong Zhou |
| author_facet | Jie Zeng Yuxin Song Teng Wu Tiejun Lv Shidong Zhou |
| author_sort | Jie Zeng |
| collection | DOAJ |
| description | Sixth-generation (6G) wireless communication scenarios are complex and diverse. Small-scale fading is a key part of wireless channels and its impact on performance in scenarios with time sensitivity and 6G ultrareliable and low latency communications (URLLC) quality-of-service requirements cannot be ignored. Therefore, it is necessary to accurately characterize small-scale fading when designing wireless communication systems. In this paper, we derive approximate closed form expressions for the probability density function, cumulative distribution function and moment-generating function of the postprocessing signal-to-noise ratio following the zero-forcing detector in a cell-free massive multiple-input multiple-output (CF mMIMO) system. CF mMIMO system is a nonorthogonal multiple access (NOMA) system that enables users to share all channel uses and can ensure the fairness of the communication quality experienced by different users. Our key contributions include the extension of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>κ</mi></semantics></math></inline-formula>–<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula> shadowed fading model to a CF mMIMO system and the proposal of theoretical tools (the derived closed-form expression) to improve its mathematical tractability. By exploiting the statistical characterizations of the arrival and service processes, another important contribution is the exploitation of the upper bound of the queuing delay violation probability (UB-QDVP) over the Mellin transforms of the arrival and service processes in the proposed CF mMIMO system under the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>κ</mi></semantics></math></inline-formula>–<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula> shadowed fading model. Corroborated by extensive simulations, our analyses validate that the CF mMIMO system outperforms the orthogonal multiple access and power-domain NOMA systems and reveal the relationships among different small-scale fading types, energy efficiency, delay and the UB-QDVP, as well as the accuracy and effectiveness of the proposed theoretical tools based on the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>κ</mi></semantics></math></inline-formula>–<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula> shadowed fading model. |
| first_indexed | 2024-03-09T05:57:16Z |
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| language | English |
| last_indexed | 2024-03-09T05:57:16Z |
| publishDate | 2022-07-01 |
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| spelling | doaj.art-6ba289bcda0e4e33a5d89d1a8f0dcef72023-12-03T12:12:58ZengMDPI AGSensors1424-82202022-07-012214527910.3390/s22145279Guaranteeing QoS for NOMA-Enabled URLLC Based on <i>κ</i>–<i>μ</i> Shadowed Fading ModelJie Zeng0Yuxin Song1Teng Wu2Tiejun Lv3Shidong Zhou4School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, ChinaSixth-generation (6G) wireless communication scenarios are complex and diverse. Small-scale fading is a key part of wireless channels and its impact on performance in scenarios with time sensitivity and 6G ultrareliable and low latency communications (URLLC) quality-of-service requirements cannot be ignored. Therefore, it is necessary to accurately characterize small-scale fading when designing wireless communication systems. In this paper, we derive approximate closed form expressions for the probability density function, cumulative distribution function and moment-generating function of the postprocessing signal-to-noise ratio following the zero-forcing detector in a cell-free massive multiple-input multiple-output (CF mMIMO) system. CF mMIMO system is a nonorthogonal multiple access (NOMA) system that enables users to share all channel uses and can ensure the fairness of the communication quality experienced by different users. Our key contributions include the extension of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>κ</mi></semantics></math></inline-formula>–<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula> shadowed fading model to a CF mMIMO system and the proposal of theoretical tools (the derived closed-form expression) to improve its mathematical tractability. By exploiting the statistical characterizations of the arrival and service processes, another important contribution is the exploitation of the upper bound of the queuing delay violation probability (UB-QDVP) over the Mellin transforms of the arrival and service processes in the proposed CF mMIMO system under the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>κ</mi></semantics></math></inline-formula>–<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula> shadowed fading model. Corroborated by extensive simulations, our analyses validate that the CF mMIMO system outperforms the orthogonal multiple access and power-domain NOMA systems and reveal the relationships among different small-scale fading types, energy efficiency, delay and the UB-QDVP, as well as the accuracy and effectiveness of the proposed theoretical tools based on the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>κ</mi></semantics></math></inline-formula>–<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula> shadowed fading model.https://www.mdpi.com/1424-8220/22/14/5279cell-free massive multiple-input multiple-output (CF mMIMO)κ–μ shadowed fading modelstatistical delay quality-of-service (QoS)ultrareliable and low latency communications (URLLC) |
| spellingShingle | Jie Zeng Yuxin Song Teng Wu Tiejun Lv Shidong Zhou Guaranteeing QoS for NOMA-Enabled URLLC Based on <i>κ</i>–<i>μ</i> Shadowed Fading Model Sensors cell-free massive multiple-input multiple-output (CF mMIMO) κ–μ shadowed fading model statistical delay quality-of-service (QoS) ultrareliable and low latency communications (URLLC) |
| title | Guaranteeing QoS for NOMA-Enabled URLLC Based on <i>κ</i>–<i>μ</i> Shadowed Fading Model |
| title_full | Guaranteeing QoS for NOMA-Enabled URLLC Based on <i>κ</i>–<i>μ</i> Shadowed Fading Model |
| title_fullStr | Guaranteeing QoS for NOMA-Enabled URLLC Based on <i>κ</i>–<i>μ</i> Shadowed Fading Model |
| title_full_unstemmed | Guaranteeing QoS for NOMA-Enabled URLLC Based on <i>κ</i>–<i>μ</i> Shadowed Fading Model |
| title_short | Guaranteeing QoS for NOMA-Enabled URLLC Based on <i>κ</i>–<i>μ</i> Shadowed Fading Model |
| title_sort | guaranteeing qos for noma enabled urllc based on i κ i i μ i shadowed fading model |
| topic | cell-free massive multiple-input multiple-output (CF mMIMO) κ–μ shadowed fading model statistical delay quality-of-service (QoS) ultrareliable and low latency communications (URLLC) |
| url | https://www.mdpi.com/1424-8220/22/14/5279 |
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