Xiaoying Zhu , Shi Wang , Xiaohui Xu , Yi Lou , Hao Sun
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引用次数: 0
Abstract
In this paper, we present an adaptive intelligent reflecting surfaces (IRS) adjusting algorithm designed to enhance the communication quality of secondary users (SUs) within heterogeneous cognitive radio networks (CRNs), using a cross-layer analysis approach. Initially, a Markov model is established based on queue analysis of SUs' buffer. Subsequently, to optimize the diagonal reflection coefficient matrix of the IRS, we derive the key objectives of the established multi-objective optimization problem, including potential throughput, data packet rejection rate, and data packet queue length of SUs, into closed-form expressions. Thereafter, the optimal solution guides the dynamic pre-adjustment of IRS by the station. Simulation results verify the superior performance of the proposed algorithm, particularly in terms of spectral efficiency and bit error rate, compared to existing methods.
期刊介绍：
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.
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