Name
Title | ||
|---|---|---|
High-Throughput and Improved-Convergent Design of Pipelined Adaptive DFE for 5G Communication |
Abstract | ||
|---|---|---|
This brief presents a high-throughput and improved convergent design of pipelined adaptive decision feedback equalizer (ADFE) for 5G communication system. The proposed ADFE design achieves 3.3 Gbps for 4-quadrature amplitude modulation (4-QAM) and 8th order feedback filter (FBF). A novel look-up table update scheme for M-ary QAM ADFE is proposed. Further, we present an efficient quantization scheme for the proposed design. Theoretical derivations and simulation results confirm that the convergence performance of the proposed ADFE is superior. For instance, the proposed design for 16-QAM and 16th order FBF takes 167 less iterations and improves 4.03 dB error performance, while it provides nearly 8.96 times higher throughput as compared to the best existing design. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSII.2020.3018637 | IEEE Transactions on Circuits and Systems II: Express Briefs |
Keywords | DocType | Volume |
Adaptive DFE (ADFE),5G,look up table (LUT),new-radio (NR),pipelining,two-stage pre-computation (TSP) | Journal | 68 |
Issue | ISSN | Citations |
2 | 1549-7747 | 1 |
PageRank | References | Authors |
0.37 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohd Tasleem Khan | 1 | 10 | 4.69 |
| Shaik Rafi Ahamed | 2 | 14 | 8.82 |