User Rate Optimization for Fronthaul-Constrained Cell-Free Massive MIMO-OFDM Systems: A Quadratic Transform-Based Approach
As a promising candidate for the future generations of mobile communication networks, the cell-free (CF) massive multiple-input multiple-output (mMIMO) networks have been shown to provide high spectral efficiency (SE) and more uniform signal coverage than cellular mMIMO networks, enabling smart citi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Open Journal of the Communications Society |
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| Online Access: | https://ieeexplore.ieee.org/document/9847392/ |
| _version_ | 1818498610418941952 |
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| author | Kui Xu Mouhua Huang Dongmei Zhang Xiaochen Xia Wei Xie Nan Sha |
| author_facet | Kui Xu Mouhua Huang Dongmei Zhang Xiaochen Xia Wei Xie Nan Sha |
| author_sort | Kui Xu |
| collection | DOAJ |
| description | As a promising candidate for the future generations of mobile communication networks, the cell-free (CF) massive multiple-input multiple-output (mMIMO) networks have been shown to provide high spectral efficiency (SE) and more uniform signal coverage than cellular mMIMO networks, enabling smart cities more diverse application services. The fronthaul link in such networks, defined as the transmission link between the central processing unit and the access point, requires a high capacity, but is often constrained. Hence, the optimization of the user rate under the limited capacity of fronthaul is the key problem to be solved in a CF networks. In this paper, we consider the downlink transmission of CF mMIMO orthogonal frequency division multiplexing (OFDM) systems with constrained transmit power and fronthaul capacity. Based on the min-max and sum-max principles, quadratic transform-min max (QT-MM) and quadratic transform-sum max (QT-SM) optimization algorithms are proposed, respectively. Simulation results show that compared with the weighted minimum mean square error (WMMSE) algorithm, both of the proposed algorithms can effectively prevent very low user rates when the fronthaul capacity is limited. When the fronthaul link capacity constraint is high, the QT-SM algorithm has better rate performance than the distributed WMMSE-d algorithm and the centralized WMMSE-c algorithm. |
| first_indexed | 2024-12-10T20:17:56Z |
| format | Article |
| id | doaj.art-e5bb5810a5dd40d9a6390f1dcf0d0dd5 |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2024-12-10T20:17:56Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-e5bb5810a5dd40d9a6390f1dcf0d0dd52022-12-22T01:35:09ZengIEEEIEEE Open Journal of the Communications Society2644-125X2022-01-0131244125110.1109/OJCOMS.2022.31957569847392User Rate Optimization for Fronthaul-Constrained Cell-Free Massive MIMO-OFDM Systems: A Quadratic Transform-Based ApproachKui Xu0https://orcid.org/0000-0001-8533-2255Mouhua Huang1Dongmei Zhang2Xiaochen Xia3https://orcid.org/0000-0002-2186-4655Wei Xie4https://orcid.org/0000-0002-9173-6499Nan Sha5https://orcid.org/0000-0002-3928-4173College of Communication Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing, ChinaAs a promising candidate for the future generations of mobile communication networks, the cell-free (CF) massive multiple-input multiple-output (mMIMO) networks have been shown to provide high spectral efficiency (SE) and more uniform signal coverage than cellular mMIMO networks, enabling smart cities more diverse application services. The fronthaul link in such networks, defined as the transmission link between the central processing unit and the access point, requires a high capacity, but is often constrained. Hence, the optimization of the user rate under the limited capacity of fronthaul is the key problem to be solved in a CF networks. In this paper, we consider the downlink transmission of CF mMIMO orthogonal frequency division multiplexing (OFDM) systems with constrained transmit power and fronthaul capacity. Based on the min-max and sum-max principles, quadratic transform-min max (QT-MM) and quadratic transform-sum max (QT-SM) optimization algorithms are proposed, respectively. Simulation results show that compared with the weighted minimum mean square error (WMMSE) algorithm, both of the proposed algorithms can effectively prevent very low user rates when the fronthaul capacity is limited. When the fronthaul link capacity constraint is high, the QT-SM algorithm has better rate performance than the distributed WMMSE-d algorithm and the centralized WMMSE-c algorithm.https://ieeexplore.ieee.org/document/9847392/Cell-free massive MIMOfronthaul link capacity constraintquadratic transformuser rate optimization |
| spellingShingle | Kui Xu Mouhua Huang Dongmei Zhang Xiaochen Xia Wei Xie Nan Sha User Rate Optimization for Fronthaul-Constrained Cell-Free Massive MIMO-OFDM Systems: A Quadratic Transform-Based Approach IEEE Open Journal of the Communications Society Cell-free massive MIMO fronthaul link capacity constraint quadratic transform user rate optimization |
| title | User Rate Optimization for Fronthaul-Constrained Cell-Free Massive MIMO-OFDM Systems: A Quadratic Transform-Based Approach |
| title_full | User Rate Optimization for Fronthaul-Constrained Cell-Free Massive MIMO-OFDM Systems: A Quadratic Transform-Based Approach |
| title_fullStr | User Rate Optimization for Fronthaul-Constrained Cell-Free Massive MIMO-OFDM Systems: A Quadratic Transform-Based Approach |
| title_full_unstemmed | User Rate Optimization for Fronthaul-Constrained Cell-Free Massive MIMO-OFDM Systems: A Quadratic Transform-Based Approach |
| title_short | User Rate Optimization for Fronthaul-Constrained Cell-Free Massive MIMO-OFDM Systems: A Quadratic Transform-Based Approach |
| title_sort | user rate optimization for fronthaul constrained cell free massive mimo ofdm systems a quadratic transform based approach |
| topic | Cell-free massive MIMO fronthaul link capacity constraint quadratic transform user rate optimization |
| url | https://ieeexplore.ieee.org/document/9847392/ |
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