Potential use of CDMA technology in IoT and M2M communications
The object of research: The potential application of Code Division Multiple Access (CDMA) technology in Internet of Things (IoT) and Machine-to-Machine (M2M) communications. Investigated problem: With the global shift towards LTE, NB-IoT, and 5G, legacy CDMA networks are being phased out. However, the study investigates whether CDMA retains technological and economic viability in certain IoT/M2M scenarios, especially in remote or infrastructure-limited environments. The main scientific results: The research identifies the key technical characteristics of CDMA – such as high interference resistance, wide coverage, scalability, and low latency – and compares them with modern alternatives (NB-IoT, LPWAN). The analysis demonstrates that CDMA can still provide stable, low-power communication for legacy devices and serve as a hybrid solution in transitional network architectures. Real-world use cases in logistics, energy, transportation, and agriculture further support its practicality. The area of practical use of the research results: The findings are relevant for industries and regions where LTE/5G infrastructure is unavailable, costly to implement, or where legacy CDMA systems are still operational. It is particularly applicable to remote sensing, fleet monitoring, smart metering, and rural infrastructure management. Innovative technological product: A hybrid CDMA + LTE communication module optimized for IoT and M2M scenarios, capable of switching dynamically between networks based on availability and operational requirements. Scope of the innovative technological product: This solution can be deployed in energy monitoring, smart agriculture, logistics tracking, and emergency systems in areas with inconsistent or developing mobile network infrastructure.
Authors
- Samina Rustamova (ORCID: https://orcid.org/0009-0002-7980-8960)
Institutions
- Nakhchivan State University (AZ)
Publication Details
- Journal
- ScienceRise
- Published
- 2025-06-30
- DOI
- https://doi.org/10.21303/2313-8416.2025.003741
- Primary Topic
- Wireless Communication Networks Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00