Intelligent Reflecting Surfaces Positioning in 6G Networks

The work analyzed the positioning of IRS over the coverage region of micro cell to derive optimal placement location to support cell-edge Internet of Things (IoT) devices with a favorable signal-to-interference plus noise ratio (SINR). Moreover, the work derived that the implementation of IRS significantly enhances energy efficiency notably reducing the transmit power of the micro cell base station

Improving SINR Performance Deploying IRS in 6G Wireless Networks

Interactive reflecting surfaces (IRSs) are a remarkable technology that will be integrated into 6G wireless networks to enhance the electromagnetic propagation environment in a programmable or adaptable way in order to improve communication between both transmission and reception devices. The work intends to broaden coverage by including IRS into micro radio transmission. As a consequence, the study evaluated and contrasted the performance of regular miniature cellular connection with IRS-enhanced miniature cellular connection in the 6G radio context in respect to signal to interference plus noise ratio (SINR)

Optimum HDAF Relay-Assisted Combining Scheme with Relay Decision Information

For single-input multiple-output (SIMO) systems, Maximum Ratio Combining (MRC), employed at the receiver, achieves the best performance compared to other combining schemes in the literature, such as Selection Combining (SC) and Equal Gain Combining (EGC). However, for cooperative relay-based systems, MRC has limited performance due to the lack of relay decision information awareness at the destination combiner. To overcome this limitation, this paper proposes a new optimum combining scheme, which is being demonstrated for Hybrid-Decode-Amplify-Forward (HDAF) cooperative system. This scheme utilizes relay decision information in the form of the number of errors per received packet over the source-relay link. The derivation of the optimum combining scheme is based on a mathematical model that utilizes conditional error probability. The improved performance of the proposed optimum combining scheme is demonstrated through analytical results and Monte Carlo simulations