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Software Defined Radio Platforms for Wireless Technologies

Résumé : Wireless connectivity standards have been developed to meet the requirements of various applications. To support a wireless standard, a wireless transceiver should be equipped with a Radio Frequency (RF) transceiver. Traditional RF transceivers are designed and implemented on a radio chip or an embedded module in a System-on-a-Chip (SoC), ensuring small size, high performance, low power consumption, and cost. However, this traditional implementation design limits directly or indirectly the programmability and flexibility of the RF transceivers. An alternative solution is to implement RF transceivers using Software Defined Radio (SDR) platforms. In the market, SDR platform hardware exists with different configurations, performance, cost, size, etc., making it hard to select the minimum SDR platform necessary to satisfy the wireless standard requirements. This paper aims to provide a list of well-known General Purpose Processor (GPP) based SDR platforms satisfying the minimum specifications of selected wireless standards. To this end, we first review the characteristics of selected wireless technologies. Then, we investigate existing SDR platform architecture and their maximal performance in terms of the frequency range, bandwidth, symbol rate, bitrate, and latency support. Finally, we intersect the wireless standard requirements with the corresponding SDR platform parameters and provide a list of GPP-based SDR platforms for some existing wireless technology implementations. While investigations related to frequency, bandwidth, symbol rate and bitrate are supported by theoretical results, latency is obtained from experiments by benchmarking existing implementations.
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Submitted on : Tuesday, March 1, 2022 - 4:01:12 PM
Last modification on : Friday, June 17, 2022 - 1:28:54 PM
Long-term archiving on: : Monday, May 30, 2022 - 7:38:56 PM


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Dereje M. Molla, Hakim Badis, Laurent George, Marion Berbineau. Software Defined Radio Platforms for Wireless Technologies. IEEE Access, IEEE, 2022, pp1-27. ⟨10.1109/ACCESS.2022.3154364⟩. ⟨hal-03592937⟩



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