Software Radio Architecture: A Mathematical Perspective
The Software Radio Architecture (SRA) signifies the advanced technological aspect in the communication industry, which has been enhanced to anticipate transitions in the issues of compatibility protocols and standards. With the evaluation of the Software Defined Radio (SDR), it is fundamental that hardware speculation due to transition in these protocols is diminished to achieve user-friendly communication service expenditure. The evaluation of incontestable properties necessitates a mathematical perspective related to the architecture of software radio. This contribution concentrates at the software radio architecture, applying mathematical frameworks, which signify the rapidly emergent technological initiatives. The article introduces the fundamental conceptions of software radio and illustrates the relevant similar technological aspects such as the programmable digital radio. Software radios are significant in delivering services that are programmable and processed dynamically, including its definition and capacity of a mathematical Turing machine structure. The bordered recursive features which are a collection of the overall recursive feature appear to the extreme category of the Turing and computable features exhibited by the provable software radio capability relative to pay and plug scenarios. Acknowledging the relevant topological features of software radio architecture facilitates the enhancement of the play and plug functions, which are cost-friendly to re-apply.
KeywordsSoftware Radio Architecture (SRA) Software Defined Radio (SDR) Analogue and Digital Radio Topological Computability
- 4.Haldorai, A., Ramu, A.: Cognitive social mining applications in data analytics and forensics. In: Advances in Social Networking and Online Communities (2019)Google Scholar
- 11.Anandakumar, H., Arulmurugan, R., Onn, C.C.: Computational intelligence and sustainable systems. In: EAI/Springer Innovations in Communication and Computing (2019)Google Scholar
- 14.Anandakumar, H., Umamaheswari, K.: Cooperative spectrum handovers in cognitive radio networks. In: EAI/Springer Innovations in Communication and Computing, pp. 47–63 (2018)Google Scholar
- 20.Suganya, M., Anandakumar, H.: Handover based spectrum allocation in cognitive radio networks. In: 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Chennai, pp. 215–219 (2013)Google Scholar