Performance Analysis of DF Relay-Assisted D2D Communication in a 5G mmWave Network

Abstract

Enabling D2D communication in the mmWave band has many obstacles that must be mitigated. The primary concern is the introduction of interference from various sources. Thus, we focused our work on the performance of decode-and-forward (DF) relay-assisted D2D communication in the mmWave band to increase the coverage probability and energy efficiency (EE). Three modes are proposed for D2D communication to prevail. The bitwise binary XOR operation was executed at the relay node, which increased the security feature. The radius of coverage was derived, which indicated the switching of the modes. The diffused incoherent scattering power was also considered as part of the power consumption. Furthermore, a unique relay selection scheme, the dynamic relay selection (DRS) method, is proposed to select the optimal relay for information exchange. A comparison of the proposed DF relay scheme with the amplify-and-forward (AF) scheme was also made. Finally, the simulation results proved the efficacy of the proposed work.

Komunikasi Kooperatif D2D dengan Bantuan UAV Berbasis AF/DF Multi Relay dengan Dampak Hardware Impairment

“…Dari hasil simulasi dapat dibuktikan keefektifan skema relai DF yang diusulkan. Makalah [9] mempelajari implementasi nyata dari sistem komunikasi kooperatif D2D pada Aplikasi Kesehatan Seluler. Untuk sistem layanan kesehatan seluler, relai memiliki keandalan dan node relai adalah poin penting.…”

Intelligent Vehicle Formation System Based on Information Interaction

“…At the system design level, research on self-organizing networks [28] and edge computing technologies [29] to optimize dynamic topology management and low-latency data processing to ensure that intelligent vehicles can maintain efficient and stable communication capabilities in a variety of complex environments is important. In terms of communication protocols, new low-latency protocols and multihop communication methods will [30] enhance the reliability of communication between vehicles and between vehicles and infrastructure. In addition, multimodal sensing fusion [31] and sensor network optimization research will further enhance the accuracy of intelligent vehicles' perception of the environment and the efficiency of data transmission so that they can more accurately identify traffic conditions, changes in road conditions, and other information to make smarter driving decisions, and these innovations and improvements will comprehensively enhance the communication capability and user experience of intelligent vehicles, and promote the development of intelligent transportation systems.…”