Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access Networks
The demand for higher data rate in wireless networks continues to grow, however the wireless spectrum cannot meet ever-increasing demands. Non-orthogonal Multiple Access (NOMA) technology is attracting attentions to overcome the lack of resource spectrum and increase spatial reuse. Traditionally, da...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9118931/ |
| _version_ | 1818578235507605504 |
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| author | Ha-Ryung Kim Jiasi Chen Jongwon Yoon |
| author_facet | Ha-Ryung Kim Jiasi Chen Jongwon Yoon |
| author_sort | Ha-Ryung Kim |
| collection | DOAJ |
| description | The demand for higher data rate in wireless networks continues to grow, however the wireless spectrum cannot meet ever-increasing demands. Non-orthogonal Multiple Access (NOMA) technology is attracting attentions to overcome the lack of resource spectrum and increase spatial reuse. Traditionally, data is delivered in an orthogonal fashion in the frequency or time domain, whereas NOMA leverages power domain to improve spectral reuse. User clustering is one of the key features that significantly affects NOMA's throughput performance and fairness among the users in the network. In addition to NOMA, beamforming increases spectral efficiency by improving SNR for specific users (and groups) and reducing interference across the clusters. However, combining beamforming with NOMA is a challenging and complex problem because beamforming for improving the reuse of spectral resources is tightly coupled with user clustering in NOMA. In this paper, we introduce a joint user clustering and beamforming scheme that maximizes the network throughput in NOMA with beamforming. Toward this goal, we carefully analyze several features that significantly affect the system throughput and design a heuristic algorithm based on the inferences. Our algorithm increase the signal power in NOMA and effectively reduce both beamforming and NOMA interference. Evaluation results reveal that our solution provide higher utility (sum rate) than other existing schemes and significantly improve fairness among users regardless of the channel conditions. |
| first_indexed | 2024-12-16T06:42:35Z |
| format | Article |
| id | doaj.art-8e0f9e7bb0ae404dbc1f21f6abddd6a4 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T06:42:35Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8e0f9e7bb0ae404dbc1f21f6abddd6a42022-12-21T22:40:39ZengIEEEIEEE Access2169-35362020-01-01811135511136710.1109/ACCESS.2020.30027749118931Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access NetworksHa-Ryung Kim0Jiasi Chen1Jongwon Yoon2https://orcid.org/0000-0002-9052-243XDepartment of Computer Science and Engineering, Hanyang University, Ansan, South KoreaDepartment of Computer Science and Engineering, University of California, Riverside, CA, USADepartment of Computer Science and Engineering, Hanyang University, Ansan, South KoreaThe demand for higher data rate in wireless networks continues to grow, however the wireless spectrum cannot meet ever-increasing demands. Non-orthogonal Multiple Access (NOMA) technology is attracting attentions to overcome the lack of resource spectrum and increase spatial reuse. Traditionally, data is delivered in an orthogonal fashion in the frequency or time domain, whereas NOMA leverages power domain to improve spectral reuse. User clustering is one of the key features that significantly affects NOMA's throughput performance and fairness among the users in the network. In addition to NOMA, beamforming increases spectral efficiency by improving SNR for specific users (and groups) and reducing interference across the clusters. However, combining beamforming with NOMA is a challenging and complex problem because beamforming for improving the reuse of spectral resources is tightly coupled with user clustering in NOMA. In this paper, we introduce a joint user clustering and beamforming scheme that maximizes the network throughput in NOMA with beamforming. Toward this goal, we carefully analyze several features that significantly affect the system throughput and design a heuristic algorithm based on the inferences. Our algorithm increase the signal power in NOMA and effectively reduce both beamforming and NOMA interference. Evaluation results reveal that our solution provide higher utility (sum rate) than other existing schemes and significantly improve fairness among users regardless of the channel conditions.https://ieeexplore.ieee.org/document/9118931/Beamformingclusteringnon-orthogonal multiple access |
| spellingShingle | Ha-Ryung Kim Jiasi Chen Jongwon Yoon Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access Networks IEEE Access Beamforming clustering non-orthogonal multiple access |
| title | Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access Networks |
| title_full | Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access Networks |
| title_fullStr | Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access Networks |
| title_full_unstemmed | Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access Networks |
| title_short | Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access Networks |
| title_sort | joint user clustering and beamforming in non orthogonal multiple access networks |
| topic | Beamforming clustering non-orthogonal multiple access |
| url | https://ieeexplore.ieee.org/document/9118931/ |
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