Abstract
In the landscape of 5G networks, efficient resource allocation stands as a critical factor in
meeting the diverse demands of applications and users. This paper delves into optimizing
resource allocation within 5G Multiple Input Multiple Output (MIMO) networks by leveraging
Downlink/Uplink Decoupling (DUDe) techniques. MIMO technology, enabling the simultaneous
transmission of multiple data streams, holds promise for boosting spectral efficiency. However,
accommodating the dynamic and diverse user requirements poses a significant challenge in
resource allocation. By employing advanced DUDe techniques, this research aims to dynamically
allocate resources in 5G MIMO networks, seeking to enhance throughput, minimize latency, and
optimize user satisfaction. Through simulation-based analysis, this paper highlights the efficacy of the proposed approach in significantly improving network performance and resource
utilization
meeting the diverse demands of applications and users. This paper delves into optimizing
resource allocation within 5G Multiple Input Multiple Output (MIMO) networks by leveraging
Downlink/Uplink Decoupling (DUDe) techniques. MIMO technology, enabling the simultaneous
transmission of multiple data streams, holds promise for boosting spectral efficiency. However,
accommodating the dynamic and diverse user requirements poses a significant challenge in
resource allocation. By employing advanced DUDe techniques, this research aims to dynamically
allocate resources in 5G MIMO networks, seeking to enhance throughput, minimize latency, and
optimize user satisfaction. Through simulation-based analysis, this paper highlights the efficacy of the proposed approach in significantly improving network performance and resource
utilization
Original language | English |
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Publication status | Published - 2024 |
Event | 14th International Symposium on Communication Systems, Networks and Digital Signal Processing - CSNDSP 2024 - Duration: 17 Jul 2024 → 19 Jul 2024 |
Conference
Conference | 14th International Symposium on Communication Systems, Networks and Digital Signal Processing - CSNDSP 2024 |
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Period | 17/07/24 → 19/07/24 |