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Efficient Wideband Spectrum Sensing with Maximal Spectral Efficiency for LEO Mobile Satellite Systems
Feilong Li1, Zhiqiang Li2, Guangxia Li3
1College of Communication Engineering, PLA University of Science and Technology, 88 Houbiaoying Rd., Nanjing 210007, China. 15895970727@163.com.
Cognitive radio enhances satellite spectrum access for secondary users (SUs) by optimizing sensing time and fusion schemes. Novel wideband cooperative spectrum sensing (CSS) and spatiotemporal CSS (ST-CSS) significantly boost SU spectral efficiency.
Area of Science:
- Wireless Communications
- Spectrum Management
- Cognitive Radio
Background:
- Static spectrum allocation policies lead to spectrum scarcity for satellite services.
- Narrowband spectrum sensing (SS) in cognitive radio (CR) is effective for terrestrial networks but not for wideband satellite signals.
- Secondary users (SUs) require efficient spectrum sensing to access licensed spectrum while protecting primary users (PUs).
Purpose of the Study:
- To investigate joint design of sensing time and hard fusion schemes for maximizing SU spectral efficiency in wideband spectrum sensing for Low Earth Orbit (LEO) mobile satellite services.
- To propose a novel wideband cooperative spectrum sensing (CSS) framework that extends sensing duration by utilizing reporting slots.
- To present a spatiotemporal CSS (ST-CSS) scheme for time-varying channels to achieve simultaneous space and time diversity gains.
Main Methods:
- A compressed detection model was established to identify the optimal sensing time for maximal spectral efficiency.
- A novel wideband cooperative spectrum sensing (CSS) framework was proposed, leveraging SU reporting durations for subsequent sensing.
- A spatiotemporal CSS (ST-CSS) scheme was developed for time-varying channels, employing a hard decision fusion rule.
Main Results:
- The compressed detection model confirmed the existence of an optimal sensing time for maximizing spectral efficiency.
- The proposed CSS framework effectively extends equivalent sensing time, enhancing sensing performance.
- Computer simulations demonstrated that the optimal sensing settings algorithm significantly improves spectral efficiency.
- The novel ST-CSS scheme achieved substantially higher spectral efficiency compared to general CSS frameworks.
Conclusions:
- Joint optimization of sensing time, hard fusion, and scheduling strategies is crucial for maximizing SU spectral efficiency in LEO satellite services.
- The proposed wideband CSS framework and ST-CSS scheme offer significant improvements in spectral efficiency and performance for satellite spectrum sensing.
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