Spectrum-Efficient User and Qos-Aware Resource Allocation With Enhanced Uplink Transmission in U-LTE Networks Co-Occurrence With Wi-Fi by CRN

Abstract

Unlicensed Long-Term Evolution (U-LTE) is one of the few scientific fields that allow illegitimate access to the 5GHz band to boost data transmission throughput. However, the overall client-perceived Quality-of-Service (QoS) was not improved. This has an impact on the scheduling process since scheduling allows clients to be assigned channels or subframes based on their QoS requirements. To solve this issue, a Desirable U-LTE-Wi-Fi with QoS-aware Based Resource Allocation (D-U-LTE-Wi-Fi-QBRA) has been designed. It allocates the necessary resources and ensures the QoS of the Primary User (PU) and Secondary User (SU) in 3GPP-LTE-Cognitive Radio Network (CRN). But, from the Primary Network’s (PN) perspective, it does not prevent the interference generated by SUs. Similarly, from the Secondary Networks (SNs) perspective, there was a need to allocate PNs to SUs to minimize the total interference. This article dwells on how the coexistence of Wi-Fi and LTE networks using Cognitive Radio (CR) is enhanced by introducing the Flower Pollination optimization Algorithm (FPA). The main aim of this framework is to enable SUs with a high QoS using reasonable cost and data rate according to the interruption limits of all accessible networks with inactive systems. First, an optimization dilemma is devised to reduce the interruption experienced by the authorized clients and the price that SUs must spend to utilize the PNs. Then, this dilemma is rectified using the FPA. This improved the cost and SE for the co-occurrence of Wi-Fi and LTE networks using CR. Further, the modeling outcomes reveal that the proposed model achieved better Spectrum Efficiency (SE) than the usual models.

Keywords

• Cognitive radio network
• D-U-LTE-Wi-Fi-QBRA
• spectrum efficiency
• QoS
• interference
• flower pollination algorithm