Resource Allocation and Interference Mitigation in Intelligent Wireless Sensing Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 20 August 2026 | Viewed by 43
Special Issue Editor
Special Issue Information
Dear Colleagues,
Wireless sensing systems have been proposed for enhancing healthcare, monitoring environmental deviations, enabling automated decision-making and remote control of various endpoint devices. Recent advancements in next-generation wireless communication protocols along with the rapid integration of AI computing tools have presented new virtues and challenges for intelligent wireless sensing systems.
To optimize the use of limited spectrum resources, particularly in heterogeneous wireless sensing networks with aggressive spectrum reuse, innovative strategies are required for dynamic spectral allocation. Approaches such as adaptive resource allocation, smart multi-user scheduling, and cross-layer optimization, which utilize advanced machine learning algorithms or AI-driven methods, can present sophisticated solutions. However, spectrum reuse can lead to increased co-channel interference, especially in congested network environments, which can then degrade system performance. Therefore, robust interference management and mitigation techniques are essential to ensure reliable dynamic spectrum resource allocation with sustained performance gains. Another critical factor is the energy efficiency of endpoint devices. Given their limited power resources, spectrum coordination and interference mitigation must be designed with the full consideration of battery life expansion of endpoint devices. Techniques such as multi-antenna systems, beamforming, and cooperative communication can enable robust interference management and intelligent endpoint power utilization.
This Special Issue aims to provide interested readers with up-to-date emerging research contributions on dynamic power and spectrum resource allocation, as well as innovative interference mitigation techniques with the utilization of machine learning and AI-driven frameworks for advanced heterogeneous wireless sensing networks. Research topics can cover one or more of the following areas:
- Dynamic resource allocation;
- Power-efficient scheduling;
- Interference management and mitigation;
- Automated and intelligent sensing;
- Smart spectrum management techniques;
- Machine learning and AI-driven tools for resource optimization;
- Adaptive multi-antenna systems;
- Cross-layer optimization strategies.
Dr. Redha Radaydeh
Guest Editor
Manuscript Submission Information
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Keywords
- resource allocation
- wireless sensing
- interference management and mitigation
- energy efficiency
- artificial intelligence
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