Widely Linear Processing Improves the Throughput of Nonorthogonal User Access
The quality-of-service (QoS) provided by wireless communication networks can be upgraded by the technique of non-orthogonal multiple-access (NOMA) in tandem with widely linear beamforming (WLB), which uses a pair of beamformers for each information symbol. Conventionally, rate-fairness among the use...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of the Communications Society |
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| Online Access: | https://ieeexplore.ieee.org/document/11045687/ |
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| author | A. A. Nasir H. D. Tuan H. V. Poor L. Hanzo |
| author_facet | A. A. Nasir H. D. Tuan H. V. Poor L. Hanzo |
| author_sort | A. A. Nasir |
| collection | DOAJ |
| description | The quality-of-service (QoS) provided by wireless communication networks can be upgraded by the technique of non-orthogonal multiple-access (NOMA) in tandem with widely linear beamforming (WLB), which uses a pair of beamformers for each information symbol. Conventionally, rate-fairness among the users is achieved by maximizing the users’ minimal throughput (max-min throughput optimization). However, this is computationally challenging, as each iteration requires solving a high-dimensional convex optimization problem, even for small networks. We circumvent this by maximizing the geometric mean (GM) of the users’ throughput (GM-throughput maximization) and design novel algorithms based on iterating closed-form expressions are developed, which are shown to be hundreds of times more computationally efficient than the existing algorithms that are based on convex-solvers. The proposed algorithms are developed for both conventional wireless networks and networks requiring ultra-reliable and low-latency communications (URLLC). |
| format | Article |
| id | doaj-art-eccc9f9b0b7f4cc7a20708bc8523d0af |
| institution | Kabale University |
| issn | 2644-125X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj-art-eccc9f9b0b7f4cc7a20708bc8523d0af2025-08-20T03:33:34ZengIEEEIEEE Open Journal of the Communications Society2644-125X2025-01-0165395541310.1109/OJCOMS.2025.358184711045687Widely Linear Processing Improves the Throughput of Nonorthogonal User AccessA. A. Nasir0https://orcid.org/0000-0001-5012-1562H. D. Tuan1https://orcid.org/0000-0003-0292-6061H. V. Poor2https://orcid.org/0000-0002-2062-131XL. Hanzo3https://orcid.org/0000-0002-2636-5214Department of Electrical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaSchool of Electrical and Data Engineering, University of Technology Sydney, Broadway, NSW, AustraliaDepartment of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USASchool of Electronics and Computer Science, University of Southampton, Southampton, U.K.The quality-of-service (QoS) provided by wireless communication networks can be upgraded by the technique of non-orthogonal multiple-access (NOMA) in tandem with widely linear beamforming (WLB), which uses a pair of beamformers for each information symbol. Conventionally, rate-fairness among the users is achieved by maximizing the users’ minimal throughput (max-min throughput optimization). However, this is computationally challenging, as each iteration requires solving a high-dimensional convex optimization problem, even for small networks. We circumvent this by maximizing the geometric mean (GM) of the users’ throughput (GM-throughput maximization) and design novel algorithms based on iterating closed-form expressions are developed, which are shown to be hundreds of times more computationally efficient than the existing algorithms that are based on convex-solvers. The proposed algorithms are developed for both conventional wireless networks and networks requiring ultra-reliable and low-latency communications (URLLC).https://ieeexplore.ieee.org/document/11045687/Widely linear beamformingnon-orthogonal multiple accessultra-reliable and low-latency communicationgeometric mean maximization |
| spellingShingle | A. A. Nasir H. D. Tuan H. V. Poor L. Hanzo Widely Linear Processing Improves the Throughput of Nonorthogonal User Access IEEE Open Journal of the Communications Society Widely linear beamforming non-orthogonal multiple access ultra-reliable and low-latency communication geometric mean maximization |
| title | Widely Linear Processing Improves the Throughput of Nonorthogonal User Access |
| title_full | Widely Linear Processing Improves the Throughput of Nonorthogonal User Access |
| title_fullStr | Widely Linear Processing Improves the Throughput of Nonorthogonal User Access |
| title_full_unstemmed | Widely Linear Processing Improves the Throughput of Nonorthogonal User Access |
| title_short | Widely Linear Processing Improves the Throughput of Nonorthogonal User Access |
| title_sort | widely linear processing improves the throughput of nonorthogonal user access |
| topic | Widely linear beamforming non-orthogonal multiple access ultra-reliable and low-latency communication geometric mean maximization |
| url | https://ieeexplore.ieee.org/document/11045687/ |
| work_keys_str_mv | AT aanasir widelylinearprocessingimprovesthethroughputofnonorthogonaluseraccess AT hdtuan widelylinearprocessingimprovesthethroughputofnonorthogonaluseraccess AT hvpoor widelylinearprocessingimprovesthethroughputofnonorthogonaluseraccess AT lhanzo widelylinearprocessingimprovesthethroughputofnonorthogonaluseraccess |