Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information
With the emergence of real-time applications, modern wireless networks have witnessed the use of Age of Information (AoI) as a critical metric for evaluating the timeliness of data delivery. This paper considers multi-user scheduling, extending beyond traditional single-user scheduling, to exploit t...
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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 Vehicular Technology |
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| Online Access: | https://ieeexplore.ieee.org/document/10818777/ |
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| author | Muhammad Fahad Ijaz Umar Rashid Omer Waqar |
| author_facet | Muhammad Fahad Ijaz Umar Rashid Omer Waqar |
| author_sort | Muhammad Fahad Ijaz |
| collection | DOAJ |
| description | With the emergence of real-time applications, modern wireless networks have witnessed the use of Age of Information (AoI) as a critical metric for evaluating the timeliness of data delivery. This paper considers multi-user scheduling, extending beyond traditional single-user scheduling, to exploit the potential of Massive Multiple-Input Multiple-Output (mMIMO) systems for concurrent data delivery over imperfectly known channel state information (CSI). We propose a novel transmission scheduling framework that leverages the spatial multiplexing capabilities of mMIMO to minimize the AoI across multiple users. This results in a joint optimization of multi-user scheduling and power allocation problem for optimum data freshness in a wireless broadcast network. We handle the non-convexity of the resulting problem by utilizing successive convex approximation to specifically reformulate the binary/integer and non-convex constraints of the problem. Extensive simulations demonstrate superior performance of the proposed framework and its solution in terms of AoI compared to existing benchmarks. |
| format | Article |
| id | doaj-art-f5c4ac068f6e44378012c7b0146f7c1e |
| institution | Kabale University |
| issn | 2644-1330 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Vehicular Technology |
| spelling | doaj-art-f5c4ac068f6e44378012c7b0146f7c1e2025-01-21T00:02:42ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302025-01-01630131410.1109/OJVT.2024.352324710818777Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of InformationMuhammad Fahad Ijaz0Umar Rashid1https://orcid.org/0000-0002-9852-6769Omer Waqar2https://orcid.org/0000-0003-1787-7100Department of Electrical Engineering, University of Engineering and Technology, Lahore, PakistanDepartment of Electrical, Electronics and Telecommunication Engineering, University of Engineering & Technology, Lahore, PakistanSchool of Computing, University of the Fraser Valley, Abbotsford, BC, CanadaWith the emergence of real-time applications, modern wireless networks have witnessed the use of Age of Information (AoI) as a critical metric for evaluating the timeliness of data delivery. This paper considers multi-user scheduling, extending beyond traditional single-user scheduling, to exploit the potential of Massive Multiple-Input Multiple-Output (mMIMO) systems for concurrent data delivery over imperfectly known channel state information (CSI). We propose a novel transmission scheduling framework that leverages the spatial multiplexing capabilities of mMIMO to minimize the AoI across multiple users. This results in a joint optimization of multi-user scheduling and power allocation problem for optimum data freshness in a wireless broadcast network. We handle the non-convexity of the resulting problem by utilizing successive convex approximation to specifically reformulate the binary/integer and non-convex constraints of the problem. Extensive simulations demonstrate superior performance of the proposed framework and its solution in terms of AoI compared to existing benchmarks.https://ieeexplore.ieee.org/document/10818777/Age of informationmulti-user schedulingmassive MIMO |
| spellingShingle | Muhammad Fahad Ijaz Umar Rashid Omer Waqar Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information IEEE Open Journal of Vehicular Technology Age of information multi-user scheduling massive MIMO |
| title | Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information |
| title_full | Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information |
| title_fullStr | Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information |
| title_full_unstemmed | Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information |
| title_short | Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information |
| title_sort | beyond single user scheduling exploiting massive mimo for concurrent data delivery with minimum age of information |
| topic | Age of information multi-user scheduling massive MIMO |
| url | https://ieeexplore.ieee.org/document/10818777/ |
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