Adaptive TCS creation and assignment mechanism for cognitive radio network using Golden Eagle optimized Hybrid Multilayer Perceptron-Convolutional Neural Network

The increasing number of wireless devices tends to produce a scarcity of spectrum resources. Cognitive Radio is introduced to tackle this scarcity issue since the cognitive radio users are unlicensed users and utilize the underutilized licensed spectrum without impacting any damage to the licensed users. However, this CR generates a target channel sequence (TCS) to assign the channel for the multi-user while occurring handoff. Besides it also faces some challenges like the fair assignment of TCS problems to multiple secondary users, channel access conflicts, channel obsolesces effects during the creation of TCS. To tackle the issues, we proposed a novel Three-stage mechanism to create and assign TCS for the multi-users along with the hybrid optimized Multilayer perceptron-based Convolution neural network approach. Here, the protection to safeguard VoIP communication can be performed with the aid of a proposed hybrid MLP-CNN-GEO approach. The experimental analysis depicts that the proposed work reduces handoff delays and call-drops, and assigns a fair and dynamic channel for secondary users.

Optimal Control of Multiple Microgrids and Buildings by an Aggregator

The electrical grid has been changing in the last decade due to the presence of renewables, distributed generation, storage systems, microgrids, and electric vehicles. The introduction of new legislation and actors in the smart grid’s system opens new challenges for the activities of companies, and for the development of new energy management systems, models, and methods. A new optimization-based bi-level architecture is proposed for an aggregator of consumers in the balancing market, in which incentives for local users (i.e., microgrids, buildings) are considered, as well as flexibility and a fair assignment in reducing the overall load. At the lower level, consumers try to follow the aggregator’s reference values and perform demand response programs to contain their costs and satisfy demands. The approach is applied to a real case study.

How to Control Controlled School Choice

We characterize choice rules for schools that regard students as substitutes while expressing preferences for a diverse student body. The stable (or fair) assignment of students to schools requires the latter to regard the former as substitutes. Such a requirement is in conflict with the reality of schools’ preferences for diversity. We show that the conflict can be useful, in the sense that certain unique rules emerge from imposing both considerations. We also provide welfare comparisons for students when different choice rules are employed. (JEL D47, H75, I21, I28)