Improved Resource Scheduler using Kalman Filter in Wireless Communication
Anita Kulkarni, K Sridevi · International Journal of Engineering Trends and Technology · 2023
Adaptive resource allocation is a major part of the current wireless communication system. Resource allocation in Communication means data rate allocation, Power allocation, Bandwidth allocation and so on to the user. Resource Allocation controls the offered service and dynamically supports multiple resources based on the traffic model, service demand and mode of communication. The optimal allocation of resources offers maximization of system performance and less resource wastage. If all the users in the network communicate with the maximum data rate, there is a probability of high collision in the channel. Based on the volume of the data exchanged over the channel, interference may be effective; hence, to overcome this, resource or data rate or bandwidth is allocated based on the interference. The current filtration-based approach shows a significant improvement in data accuracy and delays minimization. However, dynamic interference due to channel variation is not considered. The time-variant nature of the channel has a greater impact on the allocation of resources. Hence, a new allocation approach based on the Kalman filter with interference governance is proposed. The presented approach, called Improved Kalman Control, is the controlling of data rate under multiple users scenario and illustrates an improvement in the system performance under dynamic channel conditions.