Optimizing Energy Efficiency in UPA-Assisted SWIPT Massive MIMO Systems Over Rician Fading Channels
Massive Multiple Input Multiple Output (mMIMO) is a promising solution for enabling green communication in next-generation wireless networks. Integrating mMIMO with Simultaneous Wireless Information and Power Transfer (SWIPT) technology can further enhance the system efficiencies in terms of Energy...
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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 Computer Society |
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| Online Access: | https://ieeexplore.ieee.org/document/10820514/ |
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| author | Mohammad Hassan Adeli Dariush Abbasi-Moghadam Hossein Fotouhi S. Mohammad Razavizadeh |
| author_facet | Mohammad Hassan Adeli Dariush Abbasi-Moghadam Hossein Fotouhi S. Mohammad Razavizadeh |
| author_sort | Mohammad Hassan Adeli |
| collection | DOAJ |
| description | Massive Multiple Input Multiple Output (mMIMO) is a promising solution for enabling green communication in next-generation wireless networks. Integrating mMIMO with Simultaneous Wireless Information and Power Transfer (SWIPT) technology can further enhance the system efficiencies in terms of Energy Efficiency (EE) and spectral efficiency. This article studies the feasibility and energy-efficient design of a uniform planar antenna (UPA)-assisted mMIMO-enabled SWIPT system. The downlink transmission of the SWIPT mMIMO system over the Rician fading channels is investigated with terminals harvesting energy based on a nonlinear energy harvesting model. We derive approximate expressions for signal-to-interference-plus-noise Ratio (SINR) and harvested power. Additionally, we formulate an EE optimization problem considering user-level quality of service and total transmit power constraints. To solve this nonconvex problem, we jointly optimize the allocated power and Power Splitting (PS) ratios by exploiting the fractional programming and convex-concave procedure approaches. Results demonstrate the superiority of our proposed design compared to the conventional scenarios with equal power allocation and fixed PS ratio algorithms with about 2 to 5 times EE improvements. The Results also indicate a considerably higher growth rate on EE by increasing the number of antennas and Rician factors compared to the two other methods. |
| format | Article |
| id | doaj-art-90b4c4e7f37a49328f8375e316ce3f18 |
| institution | Kabale University |
| issn | 2644-1268 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Computer Society |
| spelling | doaj-art-90b4c4e7f37a49328f8375e316ce3f182025-01-24T00:02:14ZengIEEEIEEE Open Journal of the Computer Society2644-12682025-01-01623624710.1109/OJCS.2025.352551910820514Optimizing Energy Efficiency in UPA-Assisted SWIPT Massive MIMO Systems Over Rician Fading ChannelsMohammad Hassan Adeli0https://orcid.org/0000-0001-9070-2214Dariush Abbasi-Moghadam1https://orcid.org/0000-0003-2228-0595Hossein Fotouhi2https://orcid.org/0000-0001-5590-0784S. Mohammad Razavizadeh3https://orcid.org/0000-0002-1732-4779Department of Electrical of Engineering, Shahid Bahonar University of Kerman, Kerman, IranDepartment of Electrical of Engineering, Shahid Bahonar University of Kerman, Kerman, IranSchool of Innovation, Design and Engineering, Mälardalen University, Västerås, SwedenSchool of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, IranMassive Multiple Input Multiple Output (mMIMO) is a promising solution for enabling green communication in next-generation wireless networks. Integrating mMIMO with Simultaneous Wireless Information and Power Transfer (SWIPT) technology can further enhance the system efficiencies in terms of Energy Efficiency (EE) and spectral efficiency. This article studies the feasibility and energy-efficient design of a uniform planar antenna (UPA)-assisted mMIMO-enabled SWIPT system. The downlink transmission of the SWIPT mMIMO system over the Rician fading channels is investigated with terminals harvesting energy based on a nonlinear energy harvesting model. We derive approximate expressions for signal-to-interference-plus-noise Ratio (SINR) and harvested power. Additionally, we formulate an EE optimization problem considering user-level quality of service and total transmit power constraints. To solve this nonconvex problem, we jointly optimize the allocated power and Power Splitting (PS) ratios by exploiting the fractional programming and convex-concave procedure approaches. Results demonstrate the superiority of our proposed design compared to the conventional scenarios with equal power allocation and fixed PS ratio algorithms with about 2 to 5 times EE improvements. The Results also indicate a considerably higher growth rate on EE by increasing the number of antennas and Rician factors compared to the two other methods.https://ieeexplore.ieee.org/document/10820514/3D beamformingconvex optimizationenergy efficiencymassive MIMOnonlinear energy harvestingpower allocation |
| spellingShingle | Mohammad Hassan Adeli Dariush Abbasi-Moghadam Hossein Fotouhi S. Mohammad Razavizadeh Optimizing Energy Efficiency in UPA-Assisted SWIPT Massive MIMO Systems Over Rician Fading Channels IEEE Open Journal of the Computer Society 3D beamforming convex optimization energy efficiency massive MIMO nonlinear energy harvesting power allocation |
| title | Optimizing Energy Efficiency in UPA-Assisted SWIPT Massive MIMO Systems Over Rician Fading Channels |
| title_full | Optimizing Energy Efficiency in UPA-Assisted SWIPT Massive MIMO Systems Over Rician Fading Channels |
| title_fullStr | Optimizing Energy Efficiency in UPA-Assisted SWIPT Massive MIMO Systems Over Rician Fading Channels |
| title_full_unstemmed | Optimizing Energy Efficiency in UPA-Assisted SWIPT Massive MIMO Systems Over Rician Fading Channels |
| title_short | Optimizing Energy Efficiency in UPA-Assisted SWIPT Massive MIMO Systems Over Rician Fading Channels |
| title_sort | optimizing energy efficiency in upa assisted swipt massive mimo systems over rician fading channels |
| topic | 3D beamforming convex optimization energy efficiency massive MIMO nonlinear energy harvesting power allocation |
| url | https://ieeexplore.ieee.org/document/10820514/ |
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