Improving User Satisfaction for Next Generation CRN using Utility Proportional Fairness based Resource Allocation Approach

As the wireless traffic requirements have been increasing daily, it is tedious task to satisfy all users with the available resources. In this work, an effort has been made to allocate resource blocks (RB), satisfactorily to various users in a Cognitive Radio Network (CRN) for downlink transmission. An inter-band mode of Carrier Aggregation (CA) technology is used for this framework and it is simulated by aggregating 60 MHz bandwidth of n77 band with 100 MHz bandwidth of n40 band within the FR1 band. The proposed work aims to improve the satisfaction at the individual and network levels in a cognitive radio-based network. The analysis of satisfaction is done with the help of different utility functions. Here the gNodeB (base station) acts as a centralized unit which allows the secondary (unlicensed) users to opportunistically use the chance to get served by gNodeB in the absence of primary (licensed) users. The simulation results show that proposed system provides comparatively higher throughput for its users and a 76% improvement in the overall system satisfaction (OSS) compared to conventional weighted proportional fairness policy method.