Connected map-induced resource allocation scheme for cognitive radio network quality of service maximization
View abstract on PubMed
Summary
This summary is machine-generated.Cognitive radio networks achieve Quality of Service (QoS) using fair resource allocation. A new Connected Resource Map-induced Resource Allocation Scheme (CRM-RAS) improves fairness and resource utilization for secondary users.
Area Of Science
- Wireless communication networks
- Resource management in telecommunications
- Cognitive radio networks
Background
- Quality of Service (QoS) in cognitive radio networks (CRNs) relies on fair resource allocation and scheduling for secondary users.
- Achieving fairness requires periodic updates to the fairness index for multi-user allocations, irrespective of channel capacity.
Purpose Of The Study
- To introduce a novel Connected Resource Map-induced Resource Allocation Scheme (CRM-RAS) for cognitive radio networks.
- To enhance fairness and resource utilization for secondary users while meeting QoS demands.
- To improve the efficiency of resource allocation through intelligent scheduling and distributed learning.
Main Methods
- The CRM-RAS identifies radio and user resource availability to construct an allocation map from primary users.
- The fairness index is updated using maximum resource utilization and a QoS factor, calculated based on low latency and high allocation rates.
- Distributed federated learning between primary and secondary users verifies the fairness index, triggering concurrent scheduling if it drops below the allocation rate.
Main Results
- The proposed CRM-RAS scheme demonstrates a significant improvement in network performance.
- Achieved an 8.15% higher sum rate compared to existing methods.
- Demonstrated an 8.88% reduction in error rate at maximum Signal-to-Noise Ratio (SNR).
Conclusions
- The CRM-RAS effectively enhances fairness and resource utilization in CRNs.
- Distributed federated learning aids in maintaining and improving the fairness index through concurrent scheduling.
- The scheme ensures efficient and fair resource allocation, leading to superior network performance and meeting QoS demands.
Related Concept Videos
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
For a lossless line, simplifications streamline the calculation of real...
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
Here, zeros are roots...
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...

