Abstract
Future wireless networks are evolving towards enabling reliable communications for miniature-sized and resource-constrained Internet-of-things (IoT) devices, imposing stringent requirements on the future sixth-generation (6 G) mobile networks. These requirements include low cost, ultra-low latency, improved spectral and energy efficiencies, higher reliability, and significantly enhanced data rate. Emphasizing on the fact that these devices have limited capabilities and might be in inaccessible places, which make battery replacement or recharging a challenging task, energy-efficient solutions should be developed to ensure uninterrupted and seamless wireless communications for power-limited IoT devices. In this paper, we consider the integration of long-range (LoRa) modulation into backscatter communications (BackCom), and we develop a mathematical framework in order to investigate the error rate performance of the considered system model. In particular, we derive novel exact and approximated closed-form expressions for the symbol error rate (SER), under the assumption of canceled radio-frequency (RF) interference. The obtained analytical results, corroborated by numerical results, confirm the advantages of integrating LoRa into BackCom system as a low-complex technique in order to extend the transmission distance in power-limited backscatter devices.
| Original language | British English |
|---|---|
| Title of host publication | 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1092-1097 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350378412 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 - Hangzhou, China Duration: 7 Aug 2024 → 9 Aug 2024 |
Publication series
| Name | 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 |
|---|
Conference
| Conference | 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 |
|---|---|
| Country/Territory | China |
| City | Hangzhou |
| Period | 7/08/24 → 9/08/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Backscatter communications
- Deep Learning
- IoT
- LoRa
- performance analysis
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