paper-with-me

Papers

Joint Design of Probabilistic Constellation Shaping and Precoding for Multi-user VLC Systems

2024-08-06 · Thang K. Nguyen, Thanh V. Pham, Hoang D. Le, Chuyen T. Nguyen, Anh T. Pham

This paper proposes a joint design of probabilistic constellation shaping (PCS) and precoding to enhance the sum-rate performance of multi-user visible light communications (VLC) broadcast channels subject to signal amplitude constraint. In the proposed design, the transmission probabilities of bipolar $M$-pulse amplitude modulation ($M$-PAM) symbols for each user and the transmit precoding matrix are jointly optimized to improve the sum-rate performance. The joint design problem is shown to be a complex non-convex problem due to the non-convexity of the objective function. To tackle the problem, the firefly algorithm (FA), a nature-inspired heuristic optimization approach, is employed to solve a local optima to the original non-convex optimization problem. The FA-based approach, however, suffers from high computational complexity. Therefore, we propose a low-complexity design based on zero-forcing (ZF) precoding, which is solved using an alternating optimization (AO) approach. Simulation results reveal that the proposed joint design with PCS significantly improves the sum-rate performance compared to the conventional design with uniform signaling. Some insights into the optimal symbol distributions of the two joint design approaches are also provided.

📄 PDF Abstract BibTeX arXiv:2408.02990

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

Firefly algorithm Metaheuristic algorithm

Similar Papers 제목 키워드 기반

Joint Precoding and Probabilistic Constellation Shaping using Arithmetic Distribution Matching

2025-05-16 · Babaee Ramin, Oveis Gharan Shahab, Bouchard Martin

The problem of joint shaping and precoding is studied in this paper. We introduce statistical dependencies among consecutive symbols to shape the constellation while minimizing the total transmit power when the signal go…

Multi-user Visible Light Communications with Probabilistic Constellation Shaping and Precoding

2025-02-13 · Thang K. Nguyen, Thanh V. Pham, Hoang D. Le, Chuyen T. Nguyen 외

This paper proposes a joint design of probabilistic constellation shaping (PCS) and precoding to enhance the sum-rate performance of multi-user visible light communications (VLC) broadcast channels subject to signal ampl…

Robust Design

Joint Learning of Geometric and Probabilistic Constellation Shaping

2019-06-18 · Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis

The choice of constellations largely affects the performance of communication systems. When designing constellations, both the locations and probability of occurrence of the points can be optimized. These approaches are …

Joint Optimization of Geometric and Probabilistic Constellation Shaping for OFDM-ISAC Systems

2025-01-20 · Benedikt Geiger, Fan Liu, Shihang Lu, Andrej Rode 외

6G communications systems are expected to integrate radar-like sensing capabilities enabling novel use cases. However, integrated sensing and communications (ISAC) introduces a trade-off between communications and sensin…

ISAC

Model-Based Deep Learning of Joint Probabilistic and Geometric Shaping for Optical Communication

2022-04-05 · Vladislav Neskorniuk, Andrea Carnio, Domenico Marsella, Sergei K. Turitsyn 외

Autoencoder-based deep learning is applied to jointly optimize geometric and probabilistic constellation shaping for optical coherent communication. The optimized constellation shaping outperforms the 256 QAM Maxwell-Bol…

Deep Learning