Efficient Handover Mode Synchronization for NR-REDCAP on a Vector DSP
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
To enable the low-cost design of 5G IoT Standard reduced capability (NR-REDCAP) devices, hardware-software trade-offs must be made for various signal processing baseband kernels. Dedicated hardware for a kernel provides better speed and power efficiency but limits the device’s programmability. With the varying range of user equipment (UE) deployment scenarios and dynamic wireless channel conditions, flexible solutions like DSPs are favorable for implementing channel estimation, channel equalization, and waveform modulation/demodulation algorithms. Due to stringent requirements on latency for algorithms like decimation, synchronization, and decoding, designers might favor dedicated hardware over DSP-based solutions. Such dedicated hardware increases the device cost as it needs to be added to the modem design solely to implement synchronization. In this work, we study the most critical operation mode of synchronization for the NR-REDCAP standard, i.e., during the Handover between cells. Whereas for the enhanced mobile broadband (eMBB) 5G NR standard, dedicated hardware might be the best implementation choice for decimation and synchronization; in contrast, for NR-REDCAP, a cost saving can be achieved by implementing and optimizing the kernels onto the vector DSP. After algorithmic and structural optimizations, our results show that the synchronization procedure can be accommodated on a vector DSP with a clock frequency of 500 MHz.
Details
| Original language | English |
|---|---|
| Title of host publication | Embedded Computer Systems |
| Editors | Cristina Silvano, Marc Reichenbach, Christian Pilato |
| Publisher | Springer Science and Business Media B.V. |
| Pages | 3-18 |
| Number of pages | 16 |
| ISBN (electronic) | 978-3-031-46077-7 |
| ISBN (print) | 978-3-031-46076-0 |
| Publication status | Published - 7 Nov 2023 |
| Peer-reviewed | Yes |
Publication series
| Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 14385 LNCS |
| ISSN | 0302-9743 |
Conference
| Title | 23rd International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation |
|---|---|
| Subtitle | Architectures, Modeling, and Simulation |
| Abbreviated title | SAMOS XXIII |
| Conference number | 23 |
| Duration | 2 - 6 July 2023 |
| Website | |
| Degree of recognition | International event |
| Location | Doryssa Seaside Resort |
| City | Pythagorion |
| Country | Greece |
Keywords
ASJC Scopus subject areas
Keywords
- REDCAP, SIMD, Synchronization, Vector DSP