Sector scanning algorithm (SSA) for device discovery in D2D communication
A device-to-device (D2D) communication permits wireless devices to communicate mutually without network assistance. It promises to enhancement in spectral and network efficiency in the next-generation networks. A D2D communication needs device discovery, which is considered as a primary task. It rep...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Taylor and Francis Ltd.
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/90678/ http://dx.doi.org/10.1080/00207217.2020.1756453 |
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| Summary: | A device-to-device (D2D) communication permits wireless devices to communicate mutually without network assistance. It promises to enhancement in spectral and network efficiency in the next-generation networks. A D2D communication needs device discovery, which is considered as a primary task. It represents the geographic coordinates of the wireless devices in a cellular network. If the device discovery is not legitimated properly may present noteworthy latency, energy consumption, and inaccuracy. In this work, a novel device discovery procedure based on cell sector scanning algorithm (SSA) is proposed for in-band D2D communication and the device discovery is performed under two scenarios: haphazard walk and velocity. An experimental setup is established to receive signal strength (RSS) measurements in a specific sector. The coverage area is divided into eight sectors to discover the devices. The sectors are used to apply and verify the proposed solution and the algorithm for device discovery. It considers the existing radio resources for proximal device discovery and adjusts the discovery signal transmission appropriately. The discovery algorithm must be fast, accurate, and energy efficient at the device level and network level. This technique performs well and enhances the quality of discovery process more than 20% of the linear estimation and diminishes the energy consumption by 24% to accomplish the discovery in dense areas and makes it dynamic and adjustable for changing environments. A mathematical analysis based on the sector scanning attempts is also provided. Furthermore, the improved discovery scheme is evaluated and confirmed by the probability of isolation. |
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