Integrating Cognitive Radio MIMO UAVs in Cellular Networks for 5G and Beyond

Sboui, Lokman; Ghazzai, Hakim; Massoud, Yehia

doi:10.1109/iceccme55909.2022.9988381

Cited by 5 publications

(6 citation statements)

References 21 publications

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“…It is known that capacity expression in MIMO systems is directly related to SNR. Therefore, the sub-optimization problem (15) for deriving F RF,1 can be approximately written as max…”

Section: Source Analog Precoder and Relay Rf Combinermentioning

confidence: 99%

“…Just as minimizing the impact of interference on PUs caused by the SUs is important, it is also desirable to minimize the effect of interference on the SU due to the PU in CR communication. This task can be achieved by regulating the power transmission at the respective unit [ 15 , 16 , 17 ]. To maximize spectrum utilization in B5G wireless networks, it seems crucial to combine the dynamic spectrum allocation strategy with mm-wave transmission.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spectral Efficiency Maximization for Mixed-Structure Cognitive Radio Hybrid Wideband Millimeter-Wave Transceivers in Relay-Assisted Multi-User Multiple-Input Multiple-Output Systems

Mustafa,

Baik,

Song

et al. 2024

Sensors

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This paper proposes a cognitive radio network (CRN)-based hybrid wideband precoding for maximizing spectral efficiency in millimeter-wave relay-assisted multi-user (MU) multiple-input multiple-output (MIMO) systems. The underlying problem is NP-hard and non-convex due to the joint optimization of hybrid processing components and the constant amplitude constraint imposed by the analog beamformer in the radio frequency (RF) domain. Furthermore, the analog beamforming solution common to all sub-carriers adds another layer of design complexity. Two hybrid beamforming architectures, i.e., mixed and fully connected ones, are taken into account to tackle this problem, considering the decode-and-forward (DF) relay node. To reduce the complexity of the original optimization problem, an attempt is made to decompose it into sub-problems. Leveraging this, each sub-problem is addressed by following a decoupled design methodology. The phase-only beamforming solution is derived to maximize the sum of spectral efficiency, while digital baseband processing components are designed to keep interference within a predefined limit. Computer simulations are conducted by changing system parameters under different accuracy levels of channel-state information (CSI), and the obtained results demonstrate the effectiveness of the proposed technique. Additionally, the mixed structure shows better energy efficiency performance compared to its counterparts and outperforms benchmarks.

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“…It is known that capacity expression in MIMO systems is directly related to SNR. Therefore, the sub-optimization problem (15) for deriving F RF,1 can be approximately written as max…”

Section: Source Analog Precoder and Relay Rf Combinermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spectral Efficiency Maximization for Mixed-Structure Cognitive Radio Hybrid Wideband Millimeter-Wave Transceivers in Relay-Assisted Multi-User Multiple-Input Multiple-Output Systems

Mustafa,

Baik,

Song

et al. 2024

Sensors

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“…The objective of this research is to assist in warehouse operational management by developing a Warehouse Management System (WMS) using the Extreme Programming method and implementing a temperature and humidity monitoring system based on the Internet of Things (IoT) integrated into the WMS. This monitoring system is built to assist warehouse's staff to monitoring warehouse temperature and humidity in real-time through the WMS, which can be accessed anytime and anywhere [17], [18], [19]. Temperature and humidity are important factors that can affect the quality of items, The method used to test the WMS is BlackBox Testing by executing system functions, and the results showed that the system successfully received responses for every request sent.…”

Section: Introductionmentioning

confidence: 99%

Development of Warehouse Management System to Manage Warehouse Operations

Kusuma Dewi,

Nur Shofa

2023

JAISI

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The Warehouse Management System (WMS) is software designed to assist in managing and monitoring warehouse processes. The purpose of this research is to improve warehouse operational management by developing a WMS using the Extreme Programming method and implementing a monitoring system to display real-time temperature and humidity measurements. The research addresses issues observed in the warehouse operations of PT. Shippindo Teknologi Logistik (Shipper), a warehouse rental services company. The problems identified in Shipper's warehouse operations largely stem from human errors. Hence, this research aims to provide a viable solution to reduce human errors by implementing various management processes, including inbound and outbound management and tracking, as well as visualizing product placement within the racks using rack maps. Additionally, the integration of a temperature and humidity monitoring system in the warehouse helps monitor the warehouse's condition in real-time. Testing using the black-box method for WMS in this research was successful, demonstrating that the system can execute all functions and display temperature and humidity data as per the designed specifications (inbound, mapping, storage, temperature and humidity monitoring, outbound). The average error in temperature and humidity measurements is relatively low, with 0.9% for temperature and 1.3% for humidity. However, further development is still required to enhance the system for better performance. This includes creating a more robust model for product detection labeling on the storage page to improve label accuracy and developing control systems for advanced temperature and humidity monitoring.

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“…Furthermore, it is also required to minimize the impact of interference on the SU caused by the PU in CR mode. This target can be achieved by regulating the transmit power of the SU [7]. From this perspective, it seems crucial to combine the dynamic spectrum allocation framework proposed by cognitive radio networks (CRN) with mm-wave communication to maximize spectrum utilization in B5G wireless cellular systems [8].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Wideband Beamforming for Sum Spectral Efficiency Maximization in Millimeter-Wave Relay-Assisted Multiuser MIMO Cognitive Radio Networks

Abbasi,

Mustafa,

Baik

et al. 2023

Mathematics

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Relay-assisted hybrid beamforming plays an inevitable role in enhancing network coverage, transmission range, and spectral efficiency while simultaneously reducing hardware cost, power consumption, and hardware implementation complexity. This study investigates a cognitive radio network (CRN)-based hybrid wideband transceiver for millimeter-wave (mm-wave) decode-and-forward (DF) relay-assisted multiuser (MU) multiple-input multiple-output (MIMO) systems. It is worth mentioning that the underlying problem has not been addressed so far, which is a real motivation behind the proposed algorithm. The joint optimization of hybrid processing components and the constant amplitude constraints imposed by the analog beamforming solution make this problem non-convex and NP-hard. Furthermore, the analog beamformer common to all sub-carriers is another challenging aspect of the underlying problem. To derive the frequency-flat analog processing component in the radio frequency (RF) domain and frequency-dependent baseband processing matrices in the baseband domain, the original complicated problem is reformulated as two single-hop sum-rate maximization sub-problems. Taking advantage of this decomposition, the sum spectral efficiency is maximized through RF precoding and combining. On the other hand, the impact of interference among transmitted data streams and inter-user interference (IUI) is minimized via baseband processing matrices. Finally, computer simulations are conducted by changing system parameters, considering both perfect and imperfect channel state information (CSI). Simulation results demonstrate that the proposed algorithm achieves performance close to full-complexity precoding and outperforms other well-known hybrid beamforming techniques. Specifically, more than 95% efficiency is achieved with perfect CSI, and more than 90% efficiency is attained under the assumption of 30% error in the estimated channels.

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Integrating Cognitive Radio MIMO UAVs in Cellular Networks for 5G and Beyond

Cited by 5 publications

References 21 publications

Spectral Efficiency Maximization for Mixed-Structure Cognitive Radio Hybrid Wideband Millimeter-Wave Transceivers in Relay-Assisted Multi-User Multiple-Input Multiple-Output Systems

Spectral Efficiency Maximization for Mixed-Structure Cognitive Radio Hybrid Wideband Millimeter-Wave Transceivers in Relay-Assisted Multi-User Multiple-Input Multiple-Output Systems

Development of Warehouse Management System to Manage Warehouse Operations

Hybrid Wideband Beamforming for Sum Spectral Efficiency Maximization in Millimeter-Wave Relay-Assisted Multiuser MIMO Cognitive Radio Networks

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