Sensor-Driven Approaches to Enhancing D2D Communication Efficiency and Interference Management
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 855
Special Issue Editor
Interests: D2D communication; wireless communication; digital communications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Future cellular networks, such as 6G architecture, are expected to provide enhanced connectivity, improved data rate transmission, privacy, and security. Resources such as artificial intelligence (AI) techniques at the network level, smart end-user devices, and ultra-dense heterogeneous environments will form crucial integrated components of future networks. To operate high data rate transmission with relatively low latency, these networks are expected to utilize distributed radio access networks and frequency bands of terahertz and visible light communication spectra. However, transmission coverage is expected to be shorter than underlaying cellular systems due to the increase in signal attenuation at high frequencies. This in turn will make networks denser with higher anticipated interference due to the increased reuse ratio of available network resources. Moreover, in these networks, end-user devices will be allocated in the vicinity of one another, where device-to-device (D2D) communication can provide unique benefits to leverage energy efficiency as well as facilitate high data rate transmission. The objective of this Special Issue is to present research articles which specifically address the integration of intelligent end-user devices as well as AI techniques at the network level into ultra-dense heterogenous networks to further enhance transmission efficiency and mitigate the impact of interference for advanced D2D communication architectures.
Dr. Redha Radaydeh
Guest Editor
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Keywords
- D2D communication
- network sensing
- spectrum sharing
- intelligent devices
- AI techniques
- network efficiency
- interference management
- recourse management
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