Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
The Cauchy-Schwarz Master Class: An Introduction to the Art of Mathematical Inequalities
The Cauchy-Schwarz Master Class: An Introduction to the Art of Mathematical Inequalities
Fast algorithms for resource allocation in wireless cellular networks
IEEE/ACM Transactions on Networking (TON)
Computationally efficient bandwidth allocation and power control for OFDMA
IEEE Transactions on Wireless Communications
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
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Long term evolution LTE base stations BS are greatly capable of improving various wireless services. As the amazingly rapid explosion of demands of various network-service applications, how to apropos design an efficient and effective resource allocation scheme for satisfying users' requirements in all perspectives in LTE BSs plays a crucial role. In this study, a state-of-the-art genetic-based resource allocation scheme has now been proposed in LTE BSs for downlink transmissions. The presented scheme supports multi-priority users and employs an aptly modified proportional fair based utility function as the performance metric. The performance evaluation of the proposed scheme is shown able to nearly achieve the optimal solution in an acceptable short time interval of few genetic generations in practice.