Downlink Asynchronous Non-Orthogonal Multiple Access With Quantizer Optimization
In this letter, we study a two-user downlink asynchronous non-orthogonal multiple access (ANOMA) with limited feedback. We employ the max-min criterion for the power allocation and derive the closed-form expressions for the upper and lower bounds of the max-min rate. It is demonstrated that ANOMA ca...
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Veröffentlicht in: | IEEE wireless communications letters 2020-10, Vol.9 (10), p.1606-1610 |
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description | In this letter, we study a two-user downlink asynchronous non-orthogonal multiple access (ANOMA) with limited feedback. We employ the max-min criterion for the power allocation and derive the closed-form expressions for the upper and lower bounds of the max-min rate. It is demonstrated that ANOMA can achieve the same or even higher average max-min rate with a lower feedback rate compared with non-orthogonal multiple access (NOMA). Moreover, we propose a quantizer optimization algorithm which applies to both NOMA and ANOMA. Simulation results show that the optimized quantizer significantly improves the average max-min rate compared with the conventional uniform quantizer, especially in the scenario with a low feedback rate. |
doi_str_mv | 10.1109/LWC.2020.2998407 |
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Simulation results show that the optimized quantizer significantly improves the average max-min rate compared with the conventional uniform quantizer, especially in the scenario with a low feedback rate.</description><identifier>ISSN: 2162-2337</identifier><identifier>EISSN: 2162-2345</identifier><identifier>DOI: 10.1109/LWC.2020.2998407</identifier><identifier>CODEN: IWCLAF</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Asynchronous non-orthogonal multiple access ; Distortion ; Downlink ; Downlinking ; Feedback ; limited feedback ; Lower bounds ; NOMA ; Nonorthogonal multiple access ; Optimization ; Quantization (signal) ; quantizer optimization ; Resource management ; Silicon carbide</subject><ispartof>IEEE wireless communications letters, 2020-10, Vol.9 (10), p.1606-1610</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Simulation results show that the optimized quantizer significantly improves the average max-min rate compared with the conventional uniform quantizer, especially in the scenario with a low feedback rate.</description><subject>Algorithms</subject><subject>Asynchronous non-orthogonal multiple access</subject><subject>Distortion</subject><subject>Downlink</subject><subject>Downlinking</subject><subject>Feedback</subject><subject>limited feedback</subject><subject>Lower bounds</subject><subject>NOMA</subject><subject>Nonorthogonal multiple access</subject><subject>Optimization</subject><subject>Quantization (signal)</subject><subject>quantizer optimization</subject><subject>Resource management</subject><subject>Silicon carbide</subject><issn>2162-2337</issn><issn>2162-2345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtrAjEURkNpoWLdF7oZ6HpsXjNJlmKfYDstCC5DjJkaOybTJEPRX98Rxbu5d3G-y8cB4BbBMUJQPMwW0zGGGI6xEJxCdgEGGJU4x4QWl-ebsGswinED-ykhwogPwOej_3ONdT_ZJO6cXgfvfBezD-_yKqS1__ZONdl71yTbNiabaG1izBY2rbOvTrlk9yZkVZvs1u5Vst7dgKtaNdGMTnsI5s9P8-lrPqte3qaTWa4JISknEEGyoqReKsVUAVHNOCJMa66ZVgTBskTLwiDDBTVLJphGtdHlinJBmBBkCO6Pb9vgfzsTk9z4LvRdo8SUCgJ5wXFPwSOlg48xmFq2wW5V2EkE5cGc7M3Jgzl5MtdH7o4Ra4w546JvCwUl_07JaZ4</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Zou, Xun</creator><creator>Ganji, Mehdi</creator><creator>Jafarkhani, Hamid</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Algorithms Asynchronous non-orthogonal multiple access Distortion Downlink Downlinking Feedback limited feedback Lower bounds NOMA Nonorthogonal multiple access Optimization Quantization (signal) quantizer optimization Resource management Silicon carbide |
title | Downlink Asynchronous Non-Orthogonal Multiple Access With Quantizer Optimization |
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