Optimized Wake-up Scheme with Bounded Delay for Energy-Efficient MTC
| Autor: | Sandra Lagen, Soheil Rostami, Mario Costa, Mikko Valkama, Paolo Dini |
|---|---|
| Přispěvatelé: | Tampere University, Electrical Engineering |
| Rok vydání: | 2019 |
| Předmět: |
Scheme (programming language)
Battery (electricity) Radio access network Optimization problem Computer science 213 Electronic automation and communications engineering electronics DRX Process (computing) 020302 automobile design & engineering 020206 networking & telecommunications 02 engineering and technology Energy efficiency 0203 mechanical engineering Control theory 0202 electrical engineering electronic engineering information engineering MTC Discontinuous reception wake-up schemes computer 5G computer.programming_language Efficient energy use |
| Zdroj: | 2019 IEEE Global Communications Conference (GLOBECOM) GLOBECOM |
| DOI: | 10.5281/zenodo.3889068 |
| Popis: | The limitations of state-of-the-art cellular modems prevent achieving low-power and low-latency Machine Type Communications (MTC) based on current power saving mechanisms alone. Recently, the concept of wake-up scheme has been proposed to enhance battery lifetime of 5G devices, while reducing the buffering delay. The existing wake-up algorithms use static operational parameters that are determined by the radio access network at the start of the user’s session. In this paper, the average power consumption of the wake-up enabled MTC UE is modeled by using a semi-Markov process and then optimized through a delay-constrained optimization problem, by which the optimal wake-up cycle is obtained in closed form. Numerical results show that the proposed solution improves the power consumption of an optimized DRX scheme by up to 40% for a given delay requirement. The numerical results show that the proposed solution, as compared to an optimized discontinuous reception (DRX)-based reference scheme, can improve power consumption by up to 40% for a given delay requirement. Grant numbers : grant TEC2017- 88373-R (5G-REFINE) and Generalitat de Catalunya grant 2017 SGR 1195. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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