Towards Unified Modulator for Mobility Scenarios: A CGRA-Based Approach

Abstract To overcome the limitations of Orthogonal Frequency Division Multiplexing (OFDM) under mobility conditions, several alternative waveforms have been proposed, each offering distinct benefits and limitations. A promising approach for future wireless communications, including 6G and beyond, is to unify these waveforms to accommodate diverse operating conditions and user requirements. However, processing multiple computationally intensive waveforms on a traditional Application-Specific Integrated Circuit (ASIC) is impractical due to its fixed design. In contrast, Coarse-Grained Reconfigurable Array (CGRA), a typical class of reconfigurable architectures, provides greater flexibility and efficiency, making it a more feasible alternative for such demanding workloads. In this paper, we propose a unified modulator framework that integrates five different waveforms onto a single CGRA platform. This approach demonstrates the run-time reconfiguration capabilities of CGRAs, enabling seamless switching between waveforms to support a unified modulation model. To optimize execution, this work explores overlapping computational and memory-access patterns for the target waveforms, enhancing performance and efficiency. For evaluation, the proposed design is synthesized on a Stratix-IV FPGA device and compared against existing implementations that focus on fixed, single-waveform architectures. The unified modulator implementation achieves an operating frequency of 170.0 MHz, a throughput of 10.88 GOPS and a dynamic power dissipation of 528 mW. Additionally, the scalability of the proposed approach is evaluated across various input sizes (8 $$\times$$ 4, 8 $$\times$$ 8, 16 $$\times$$ 16), demonstrating its flexibility with promising results.

Authors

Institutions

Publication Details

Journal
Journal of Signal Processing Systems
Published
2026-02-06
DOI
https://doi.org/10.1007/s11265-025-01975-6
Primary Topic
PAPR reduction in OFDM
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards Unified Modulator for Mobility Scenarios: A CGRA-Based Approach

Waqar Hussain, Zohaib Hassan, Jari Nurmi, Aleksandr Ometov
Journal of Signal Processing Systems
PAPR reduction in OFDM
article

Towards Unified Modulator for Mobility Scenarios: A CGRA-Based Approach

Waqar Hussain, Zohaib Hassan, Jari Nurmi, Aleksandr Ometov
article en

Abstract

Abstract To overcome the limitations of Orthogonal Frequency Division Multiplexing (OFDM) under mobility conditions, several alternative waveforms have been proposed, each offering distinct benefits and limitations. A promising approach for future wireless communications, including 6G and beyond, is to unify these waveforms to accommodate diverse operating conditions and user requirements. However, processing multiple computationally intensive waveforms on a traditional Application-Specific Integrated Circuit (ASIC) is impractical due to its fixed design. In contrast, Coarse-Grained Reconfigurable Array (CGRA), a typical class of reconfigurable architectures, provides greater flexibility and efficiency, making it a more feasible alternative for such demanding workloads. In this paper, we propose a unified modulator framework that integrates five different waveforms onto a single CGRA platform. This approach demonstrates the run-time reconfiguration capabilities of CGRAs, enabling seamless switching between waveforms to support a unified modulation model. To optimize execution, this work explores overlapping computational and memory-access patterns for the target waveforms, enhancing performance and efficiency. For evaluation, the proposed design is synthesized on a Stratix-IV FPGA device and compared against existing implementations that focus on fixed, single-waveform architectures. The unified modulator implementation achieves an operating frequency of 170.0 MHz, a throughput of 10.88 GOPS and a dynamic power dissipation of 528 mW. Additionally, the scalability of the proposed approach is evaluated across various input sizes (8 $$\times$$ 4, 8 $$\times$$ 8, 16 $$\times$$ 16), demonstrating its flexibility with promising results.

Journal of Signal Processing SystemsVol. 98(1)
Tampere University (FI), Nordic Semiconductor (Norway) (NO)
Openalex Percentile: Top 65%
PAPR reduction in OFDM
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.