Cross PHY/APP Layer User Grouping and Power Allocation for Uplink Multiantenna NOMA Video Communication Systems
The previous suboptimal user pairing and optimal power control for uplink multiantenna NOMA systems considers the physical-layer-only to maximize the sum data rates. For video communications, the objective is changed to minimize the sum video distortion and then maximize the peak signal-to-noise rat...
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Veröffentlicht in: | IEEE systems journal 2020-09, Vol.14 (3), p.3351-3359 |
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description | The previous suboptimal user pairing and optimal power control for uplink multiantenna NOMA systems considers the physical-layer-only to maximize the sum data rates. For video communications, the objective is changed to minimize the sum video distortion and then maximize the peak signal-to-noise ratio (PSNR). For uplink multiantenna NOMA systems, we propose 1) a novel weak set user selection scheme to maximize the ratio of signal power and the interference to the strong set users, 2) a novel iterative user substitution scheme based on video distortion in the application layer that increases the PSNR, and the video quality, 3) a novel optimal power allocation derived to minimize the video distortion in the application layer. 1) considers the physical-layer only and 2) and 3) consider the application layer too. The numerical results indicate that the proposed cross-layer scheme outperforms the previous physical-layer-only by 1.1 dB, and is only 0.8 dB away from the exhaustive upper bound in PSNR with 20 users and SNR = 15 dB. The complexity of the proposed scheme is slightly greater than that of the previous physical-layer-only scheme, but still much lower than that of the exhaustive upper bound. |
doi_str_mv | 10.1109/JSYST.2019.2943601 |
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For video communications, the objective is changed to minimize the sum video distortion and then maximize the peak signal-to-noise ratio (PSNR). For uplink multiantenna NOMA systems, we propose 1) a novel weak set user selection scheme to maximize the ratio of signal power and the interference to the strong set users, 2) a novel iterative user substitution scheme based on video distortion in the application layer that increases the PSNR, and the video quality, 3) a novel optimal power allocation derived to minimize the video distortion in the application layer. 1) considers the physical-layer only and 2) and 3) consider the application layer too. The numerical results indicate that the proposed cross-layer scheme outperforms the previous physical-layer-only by 1.1 dB, and is only 0.8 dB away from the exhaustive upper bound in PSNR with 20 users and SNR = 15 dB. The complexity of the proposed scheme is slightly greater than that of the previous physical-layer-only scheme, but still much lower than that of the exhaustive upper bound.</description><identifier>ISSN: 1932-8184</identifier><identifier>EISSN: 1937-9234</identifier><identifier>DOI: 10.1109/JSYST.2019.2943601</identifier><identifier>CODEN: ISJEB2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Beamforming ; Communications systems ; cross-layer optimization ; Distortion ; Interference ; Iterative methods ; multi-user-multiple-input multiple-output (MU-MIMO) ; NOMA ; nonorthogonal multiple access (NOMA) ; Physical layer ; power allocation ; Power control ; PSNR ; Resource management ; Signal to noise ratio ; Uplink ; Upper bounds ; user set selection ; Video communication</subject><ispartof>IEEE systems journal, 2020-09, Vol.14 (3), p.3351-3359</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-b7ceb7e86997877f0c22708b69ed19dda241ea8cf46e8b497ded8f27ad936ee53</citedby><cites>FETCH-LOGICAL-c295t-b7ceb7e86997877f0c22708b69ed19dda241ea8cf46e8b497ded8f27ad936ee53</cites><orcidid>0000-0002-5017-3159 ; 0000-0002-4519-5169</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8865640$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8865640$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tseng, Shu-Ming</creatorcontrib><creatorcontrib>Chen, Yung-Fang</creatorcontrib><creatorcontrib>Fang, Hao-Hsin</creatorcontrib><title>Cross PHY/APP Layer User Grouping and Power Allocation for Uplink Multiantenna NOMA Video Communication Systems</title><title>IEEE systems journal</title><addtitle>JSYST</addtitle><description>The previous suboptimal user pairing and optimal power control for uplink multiantenna NOMA systems considers the physical-layer-only to maximize the sum data rates. For video communications, the objective is changed to minimize the sum video distortion and then maximize the peak signal-to-noise ratio (PSNR). For uplink multiantenna NOMA systems, we propose 1) a novel weak set user selection scheme to maximize the ratio of signal power and the interference to the strong set users, 2) a novel iterative user substitution scheme based on video distortion in the application layer that increases the PSNR, and the video quality, 3) a novel optimal power allocation derived to minimize the video distortion in the application layer. 1) considers the physical-layer only and 2) and 3) consider the application layer too. The numerical results indicate that the proposed cross-layer scheme outperforms the previous physical-layer-only by 1.1 dB, and is only 0.8 dB away from the exhaustive upper bound in PSNR with 20 users and SNR = 15 dB. The complexity of the proposed scheme is slightly greater than that of the previous physical-layer-only scheme, but still much lower than that of the exhaustive upper bound.</description><subject>Beamforming</subject><subject>Communications systems</subject><subject>cross-layer optimization</subject><subject>Distortion</subject><subject>Interference</subject><subject>Iterative methods</subject><subject>multi-user-multiple-input multiple-output (MU-MIMO)</subject><subject>NOMA</subject><subject>nonorthogonal multiple access (NOMA)</subject><subject>Physical layer</subject><subject>power allocation</subject><subject>Power control</subject><subject>PSNR</subject><subject>Resource management</subject><subject>Signal to noise ratio</subject><subject>Uplink</subject><subject>Upper bounds</subject><subject>user set selection</subject><subject>Video communication</subject><issn>1932-8184</issn><issn>1937-9234</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kN9LwzAQx4soOKf_gL4EfO6WpGmTPJaim7K5wjZhTyVtr9LZJrVpkf33dj_w5e44vp87-DjOI8ETQrCcvq93682EYiInVDIvwOTKGRHpcVdSj12fZuoKItitc2ftHmNf-FyOHBO1xloUz3fTMI7RQh2gRVs7lFlr-qbUX0jpHMXmd1iFVWUy1ZVGo8IMsaYq9Tda9lVXKt2B1gp9rJYh-ixzMCgydd3r8gKsD7aD2t47N4WqLDxc-tjZvr5sorm7WM3eonDhZlT6nZvyDFIOIpCSC84LnFHKsUgDCTmRea4oI6BEVrAARMokzyEXBeUql14A4Htj5_l8t2nNTw-2S_amb_XwMqHMkxwzFvAhRc-p7GihhSJp2rJW7SEhODmKTU5ik6PY5CJ2gJ7OUAkA_4AQgR8w7P0BQNd1gw</recordid><startdate>202009</startdate><enddate>202009</enddate><creator>Tseng, Shu-Ming</creator><creator>Chen, Yung-Fang</creator><creator>Fang, Hao-Hsin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-5017-3159</orcidid><orcidid>https://orcid.org/0000-0002-4519-5169</orcidid></search><sort><creationdate>202009</creationdate><title>Cross PHY/APP Layer User Grouping and Power Allocation for Uplink Multiantenna NOMA Video Communication Systems</title><author>Tseng, Shu-Ming ; Chen, Yung-Fang ; Fang, Hao-Hsin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-b7ceb7e86997877f0c22708b69ed19dda241ea8cf46e8b497ded8f27ad936ee53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Beamforming</topic><topic>Communications systems</topic><topic>cross-layer optimization</topic><topic>Distortion</topic><topic>Interference</topic><topic>Iterative methods</topic><topic>multi-user-multiple-input multiple-output (MU-MIMO)</topic><topic>NOMA</topic><topic>nonorthogonal multiple access (NOMA)</topic><topic>Physical layer</topic><topic>power allocation</topic><topic>Power control</topic><topic>PSNR</topic><topic>Resource management</topic><topic>Signal to noise ratio</topic><topic>Uplink</topic><topic>Upper bounds</topic><topic>user set selection</topic><topic>Video communication</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tseng, Shu-Ming</creatorcontrib><creatorcontrib>Chen, Yung-Fang</creatorcontrib><creatorcontrib>Fang, Hao-Hsin</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE systems journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tseng, Shu-Ming</au><au>Chen, Yung-Fang</au><au>Fang, Hao-Hsin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cross PHY/APP Layer User Grouping and Power Allocation for Uplink Multiantenna NOMA Video Communication Systems</atitle><jtitle>IEEE systems journal</jtitle><stitle>JSYST</stitle><date>2020-09</date><risdate>2020</risdate><volume>14</volume><issue>3</issue><spage>3351</spage><epage>3359</epage><pages>3351-3359</pages><issn>1932-8184</issn><eissn>1937-9234</eissn><coden>ISJEB2</coden><abstract>The previous suboptimal user pairing and optimal power control for uplink multiantenna NOMA systems considers the physical-layer-only to maximize the sum data rates. For video communications, the objective is changed to minimize the sum video distortion and then maximize the peak signal-to-noise ratio (PSNR). For uplink multiantenna NOMA systems, we propose 1) a novel weak set user selection scheme to maximize the ratio of signal power and the interference to the strong set users, 2) a novel iterative user substitution scheme based on video distortion in the application layer that increases the PSNR, and the video quality, 3) a novel optimal power allocation derived to minimize the video distortion in the application layer. 1) considers the physical-layer only and 2) and 3) consider the application layer too. The numerical results indicate that the proposed cross-layer scheme outperforms the previous physical-layer-only by 1.1 dB, and is only 0.8 dB away from the exhaustive upper bound in PSNR with 20 users and SNR = 15 dB. 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subjects | Beamforming Communications systems cross-layer optimization Distortion Interference Iterative methods multi-user-multiple-input multiple-output (MU-MIMO) NOMA nonorthogonal multiple access (NOMA) Physical layer power allocation Power control PSNR Resource management Signal to noise ratio Uplink Upper bounds user set selection Video communication |
title | Cross PHY/APP Layer User Grouping and Power Allocation for Uplink Multiantenna NOMA Video Communication Systems |
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