Antenna selection in MIMO cognitive radio-inspired NOMA systems
This letter investigates a joint antenna selection (AS) problem for a MIMO cognitive radio-inspired non-orthogonal multiple access network. In particular, a new computationally efficient joint AS algorithm, namely subset-based joint AS (SJ-AS), is proposed to maximize the signal-to-noise ratio of th...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
IEEE Communications Society
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/70143 |
| _version_ | 1848762226197921792 |
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| author | Yu, Yu Chen, H. Li, Y. Ding, Z. Zhuo, L. |
| author_facet | Yu, Yu Chen, H. Li, Y. Ding, Z. Zhuo, L. |
| author_sort | Yu, Yu |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This letter investigates a joint antenna selection (AS) problem for a MIMO cognitive radio-inspired non-orthogonal multiple access network. In particular, a new computationally efficient joint AS algorithm, namely subset-based joint AS (SJ-AS), is proposed to maximize the signal-to-noise ratio of the secondary user under the condition that the quality of service of the primary user is satisfied. The asymptotic closed-form expression of the outage performance for SJ-AS is derived, and the minimal outage probability achieved by SJ-AS among all possible joint AS schemes is proved. The provided numerical results demonstrate the superior performance of the proposed scheme. |
| first_indexed | 2025-11-14T10:44:12Z |
| format | Journal Article |
| id | curtin-20.500.11937-70143 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:44:12Z |
| publishDate | 2017 |
| publisher | IEEE Communications Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-701432018-09-25T07:27:42Z Antenna selection in MIMO cognitive radio-inspired NOMA systems Yu, Yu Chen, H. Li, Y. Ding, Z. Zhuo, L. This letter investigates a joint antenna selection (AS) problem for a MIMO cognitive radio-inspired non-orthogonal multiple access network. In particular, a new computationally efficient joint AS algorithm, namely subset-based joint AS (SJ-AS), is proposed to maximize the signal-to-noise ratio of the secondary user under the condition that the quality of service of the primary user is satisfied. The asymptotic closed-form expression of the outage performance for SJ-AS is derived, and the minimal outage probability achieved by SJ-AS among all possible joint AS schemes is proved. The provided numerical results demonstrate the superior performance of the proposed scheme. 2017 Journal Article http://hdl.handle.net/20.500.11937/70143 10.1109/LCOMM.2017.2750153 IEEE Communications Society restricted |
| spellingShingle | Yu, Yu Chen, H. Li, Y. Ding, Z. Zhuo, L. Antenna selection in MIMO cognitive radio-inspired NOMA systems |
| title | Antenna selection in MIMO cognitive radio-inspired NOMA systems |
| title_full | Antenna selection in MIMO cognitive radio-inspired NOMA systems |
| title_fullStr | Antenna selection in MIMO cognitive radio-inspired NOMA systems |
| title_full_unstemmed | Antenna selection in MIMO cognitive radio-inspired NOMA systems |
| title_short | Antenna selection in MIMO cognitive radio-inspired NOMA systems |
| title_sort | antenna selection in mimo cognitive radio-inspired noma systems |
| url | http://hdl.handle.net/20.500.11937/70143 |