Energy-Efficient Wireless Solutions for 6G/B6G
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".
Deadline for manuscript submissions: 15 November 2024 | Viewed by 4129
Special Issue Editors
Interests: edge computing; distributed systems; resource allocation; coded computing
Interests: integrated sensing and communication; multiple access technologies; artificial intelligence
Special Issue Information
Dear Colleagues,
Future 6G/B6G is designed to operate at multi-terabit-per-second data rates along with ultra-low latency, which can support large amounts of data transmissions. With the deployment of massive Internet of Things (IoTs) devices, the generated data will result in high energy demand; thus, energy efficiency becomes one of the important requirements of 6G/B6G. To achieve this goal, novel energy-efficient wireless solutions are required. For example, smart energy resource management is a mechanism that could be employed by future networks to dynamically optimize the balance between energy demand and energy availability. Edge computing allows some latency-sensitive computation tasks to be offloaded to the edge servers instead of being transferred to the cloud servers to shorten the communication distance. This Special Issue aims to bring together experts, scholars, and scientific researchers in relevant fields to share their latest research contributions and expert insights. Topics of interest include, but not limited to, the following:
- Energy-efficient resource allocation;
- Energy-efficient architecture for future networks;
- Smart energy resource management;
- Energy efficiency in edge computing;
- Energy-efficient radio technologies;
- Energy-efficient offloading for 6G;
- AI-based energy-efficient multiple access technologies;
- Integrated sensing and communication technologies.
Dr. Pei Peng
Dr. Tianheng Xu
Dr. Shuyi Chen
Guest Editors
Manuscript Submission Information
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Keywords
- energy-efficient resource allocation
- energy-efficient architecture for future networks
- smart energy resource management
- energy efficiency in edge computing
- energy-efficient radio technologies
- energy-efficient offloading for 6G
- AI-based energy-efficient multiple access technologies
- integrated sensing and communication technologies