Adaptive Approach for Dynamic Spectrum Utilization in Wireless Communication System

doi:10.23940/ijpe.23.08.p5.526535

Abstract

Abstract:

The evolution of wireless communication with new architectures has led to faster and more reliable wireless communication. However, with the rapid increase in the demanded services and user interface, available resources are becoming constraints in providing high-Quality of Services (QoS). Very High-Frequency Land Mobile Radio (LMR) communication is used as a means of data exchange over long-range wireless communication. LMR is designed with spectrum-sharing capability for various resource constraint applications. The existing approach of spectrum sensing using an energy-based detection technique is the widely used method in spectrum sensing and allocation. Various previous methods defined for spectrum utilization are developed with an assumption of a linear varying channel model, however, the dynamic variation in user interface and varying channel interference develops a limitation in resource utilization under dynamic channel conditions. Learning methods developed in optimizing resource allocation observe a large processing overhead under dynamic conditions. Addressing the issue of dynamic communication conditions, this paper outlines a method for Adaptive learning of estimation parameters in spectrum sharing for the cognitive wireless communication system. The dynamic spectrum variation is monitored in the resource-sharing process for higher system performance. The observations for the developed method illustrate an increase in system throughput, less delay, and system overhead in the network.

Key words: adaptive learning, dynamic resource allocation, cognitive wireless communication

Niranjan S. Kulkarni, Sanjay L. Nalbalwar, and Anil B. Nandgaonkar. Adaptive Approach for Dynamic Spectrum Utilization in Wireless Communication System [J]. Int J Performability Eng, 2023, 19(8): 526-535.

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