Achieving Capacity Gains in Practical Full-Duplex Massive MIMO Systems: A Multi-Objective Optimization Approach Using Hybrid Beamforming Article Swipe
Mobeen Mahmood
,
Asil Koç
,
Robert Morawski
,
Tho Le‐Ngoc
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/ojcoms.2024.3384988
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/ojcoms.2024.3384988
This paper presents a novel approach to full-duplex (FD) massive multiple-input multiple-output (mMIMO) systems using hybrid beamforming (HBF) architecture, enabling simultaneous uplink (UL) and downlink (DL) transmission within the same frequency band. The proposed solution aims to mitigate strong self-interference (SI) and maximize the total achievable rate based on over-the-air (OTA) measurements of the SI channel. Our objective is to leverage the spatial degrees of freedom (DoF) in mMIMO systems to enhance FD capacity without the need for expensive analog SI-cancellation circuitry. To address this challenging issue, we employ a sub-array configuration for transmit and receive antennas at the base station (BS) and design the RF stages using non-orthogonal beamforming (NOBF) in both UL and DL user directions. Additionally, sub-array selection (SAS) is utilized to identify the optimal Tx-Rx antenna pair. To solve the non-convex multi-objective optimization problem (MOOP), we propose a swarm intelligence-based algorithmic solution to determine the optimal perturbations in user directions jointly with Tx-Rx sub-array indices while satisfying directivity degradation constraints. The illustrative results show that the proposed NOBF scheme with SAS can achieve an SI suppression of −78 dB. Furthermore, in FD mMIMO systems, this approach can effectively double the capacity compared to half-duplex (HD) transmissions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/ojcoms.2024.3384988
- https://ieeexplore.ieee.org/ielx7/8782661/8901158/10491588.pdf
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- gold
- Cited By
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- References
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4394595327Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/ojcoms.2024.3384988Digital Object Identifier
- Title
-
Achieving Capacity Gains in Practical Full-Duplex Massive MIMO Systems: A Multi-Objective Optimization Approach Using Hybrid BeamformingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Mobeen Mahmood, Asil Koç, Robert Morawski, Tho Le‐NgocList of authors in order
- Landing page
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https://doi.org/10.1109/ojcoms.2024.3384988Publisher landing page
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https://ieeexplore.ieee.org/ielx7/8782661/8901158/10491588.pdfDirect link to full text PDF
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/8782661/8901158/10491588.pdfDirect OA link when available
- Concepts
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Beamforming, MIMO, Duplex (building), Computer science, Electronic engineering, Telecommunications, Engineering, Biology, DNA, GeneticsTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 1Per-year citation counts (last 5 years)
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45Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.a | 3, 89, 141 |
| abstract_inverted_index.DL | 115 |
| abstract_inverted_index.FD | 72, 185 |
| abstract_inverted_index.RF | 105 |
| abstract_inverted_index.SI | 54, 178 |
| abstract_inverted_index.To | 82, 131 |
| abstract_inverted_index.UL | 113 |
| abstract_inverted_index.an | 177 |
| abstract_inverted_index.at | 97 |
| abstract_inverted_index.in | 67, 111, 151, 184 |
| abstract_inverted_index.is | 58, 122 |
| abstract_inverted_index.of | 52, 64, 180 |
| abstract_inverted_index.on | 48 |
| abstract_inverted_index.to | 6, 36, 59, 70, 124, 146, 196 |
| abstract_inverted_index.we | 87, 139 |
| abstract_inverted_index.Our | 56 |
| abstract_inverted_index.SAS | 174 |
| abstract_inverted_index.The | 32, 164 |
| abstract_inverted_index.and | 23, 41, 94, 102, 114 |
| abstract_inverted_index.can | 175, 190 |
| abstract_inverted_index.dB. | 182 |
| abstract_inverted_index.for | 77, 92 |
| abstract_inverted_index.the | 28, 43, 53, 61, 75, 98, 104, 126, 133, 148, 169, 193 |
| abstract_inverted_index.(BS) | 101 |
| abstract_inverted_index.(DL) | 25 |
| abstract_inverted_index.(FD) | 8 |
| abstract_inverted_index.(HD) | 198 |
| abstract_inverted_index.(SI) | 40 |
| abstract_inverted_index.(UL) | 22 |
| abstract_inverted_index.NOBF | 171 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.aims | 35 |
| abstract_inverted_index.base | 99 |
| abstract_inverted_index.both | 112 |
| abstract_inverted_index.need | 76 |
| abstract_inverted_index.rate | 46 |
| abstract_inverted_index.same | 29 |
| abstract_inverted_index.show | 167 |
| abstract_inverted_index.that | 168 |
| abstract_inverted_index.this | 84, 188 |
| abstract_inverted_index.user | 116, 152 |
| abstract_inverted_index.with | 155, 173 |
| abstract_inverted_index.(DoF) | 66 |
| abstract_inverted_index.(HBF) | 17 |
| abstract_inverted_index.(OTA) | 50 |
| abstract_inverted_index.(SAS) | 121 |
| abstract_inverted_index.Tx-Rx | 128, 156 |
| abstract_inverted_index.band. | 31 |
| abstract_inverted_index.based | 47 |
| abstract_inverted_index.mMIMO | 68, 186 |
| abstract_inverted_index.novel | 4 |
| abstract_inverted_index.pair. | 130 |
| abstract_inverted_index.paper | 1 |
| abstract_inverted_index.solve | 132 |
| abstract_inverted_index.swarm | 142 |
| abstract_inverted_index.total | 44 |
| abstract_inverted_index.using | 14, 107 |
| abstract_inverted_index.while | 159 |
| abstract_inverted_index.(NOBF) | 110 |
| abstract_inverted_index.analog | 79 |
| abstract_inverted_index.design | 103 |
| abstract_inverted_index.double | 192 |
| abstract_inverted_index.employ | 88 |
| abstract_inverted_index.hybrid | 15 |
| abstract_inverted_index.issue, | 86 |
| abstract_inverted_index.scheme | 172 |
| abstract_inverted_index.stages | 106 |
| abstract_inverted_index.strong | 38 |
| abstract_inverted_index.uplink | 21 |
| abstract_inverted_index.within | 27 |
| abstract_inverted_index.(MOOP), | 138 |
| abstract_inverted_index.(mMIMO) | 12 |
| abstract_inverted_index.achieve | 176 |
| abstract_inverted_index.address | 83 |
| abstract_inverted_index.antenna | 129 |
| abstract_inverted_index.degrees | 63 |
| abstract_inverted_index.enhance | 71 |
| abstract_inverted_index.freedom | 65 |
| abstract_inverted_index.indices | 158 |
| abstract_inverted_index.jointly | 154 |
| abstract_inverted_index.massive | 9 |
| abstract_inverted_index.optimal | 127, 149 |
| abstract_inverted_index.problem | 137 |
| abstract_inverted_index.propose | 140 |
| abstract_inverted_index.receive | 95 |
| abstract_inverted_index.results | 166 |
| abstract_inverted_index.spatial | 62 |
| abstract_inverted_index.station | 100 |
| abstract_inverted_index.systems | 13, 69 |
| abstract_inverted_index.without | 74 |
| abstract_inverted_index.antennas | 96 |
| abstract_inverted_index.approach | 5, 189 |
| abstract_inverted_index.capacity | 73, 194 |
| abstract_inverted_index.channel. | 55 |
| abstract_inverted_index.compared | 195 |
| abstract_inverted_index.downlink | 24 |
| abstract_inverted_index.enabling | 19 |
| abstract_inverted_index.identify | 125 |
| abstract_inverted_index.leverage | 60 |
| abstract_inverted_index.maximize | 42 |
| abstract_inverted_index.mitigate | 37 |
| abstract_inverted_index.presents | 2 |
| abstract_inverted_index.proposed | 33, 170 |
| abstract_inverted_index.solution | 34, 145 |
| abstract_inverted_index.systems, | 187 |
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| abstract_inverted_index.utilized | 123 |
| abstract_inverted_index.determine | 147 |
| abstract_inverted_index.expensive | 78 |
| abstract_inverted_index.frequency | 30 |
| abstract_inverted_index.objective | 57 |
| abstract_inverted_index.selection | 120 |
| abstract_inverted_index.sub-array | 90, 119, 157 |
| abstract_inverted_index.−78 | 181 |
| abstract_inverted_index.achievable | 45 |
| abstract_inverted_index.circuitry. | 81 |
| abstract_inverted_index.directions | 153 |
| abstract_inverted_index.non-convex | 134 |
| abstract_inverted_index.satisfying | 160 |
| abstract_inverted_index.algorithmic | 144 |
| abstract_inverted_index.beamforming | 16, 109 |
| abstract_inverted_index.challenging | 85 |
| abstract_inverted_index.degradation | 162 |
| abstract_inverted_index.directions. | 117 |
| abstract_inverted_index.directivity | 161 |
| abstract_inverted_index.effectively | 191 |
| abstract_inverted_index.full-duplex | 7 |
| abstract_inverted_index.half-duplex | 197 |
| abstract_inverted_index.suppression | 179 |
| abstract_inverted_index.Furthermore, | 183 |
| abstract_inverted_index.constraints. | 163 |
| abstract_inverted_index.illustrative | 165 |
| abstract_inverted_index.measurements | 51 |
| abstract_inverted_index.optimization | 136 |
| abstract_inverted_index.over-the-air | 49 |
| abstract_inverted_index.simultaneous | 20 |
| abstract_inverted_index.transmission | 26 |
| abstract_inverted_index.Additionally, | 118 |
| abstract_inverted_index.architecture, | 18 |
| abstract_inverted_index.configuration | 91 |
| abstract_inverted_index.perturbations | 150 |
| abstract_inverted_index.multiple-input | 10 |
| abstract_inverted_index.non-orthogonal | 108 |
| abstract_inverted_index.transmissions. | 199 |
| abstract_inverted_index.SI-cancellation | 80 |
| abstract_inverted_index.multi-objective | 135 |
| abstract_inverted_index.multiple-output | 11 |
| abstract_inverted_index.self-interference | 39 |
| abstract_inverted_index.intelligence-based | 143 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.6899999976158142 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.88159395 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |