Research
Wireless Communications with Low-Resolution Quantization
Wireless communication systems with low-resolution quantization are envisioned to be a major part of future wireless communication networks because of their potential to improve the energy efficiency of the network. This research project aims to conduct a comprehensive study on the performance impact of using low-resolution quantization at the receiver of wireless communication systems compared to traditional high-resolution systems. To that end, we study the optimum detectors and draw fundamental insights on the error probability performance of low-resolution quantization based wireless communication systems in the presence of fading and noise.
PhD Thesis
Publications
S. Gayan, H. Inaltekin, R. Senanayake and J. Evans, "The Cost of Noncoherence: Avoiding Channel Estimation Through Differential Encoding in Phase Quantized Systems," in IEEE Open Journal of the Communications Society, vol. 4, pp. 2578-2595, 2023
S. Gayan, H. Inaltekin, R. Senanayake and J. Evans, "Differential MPSK with n-Bit Phase Quantization," 2023 IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, 2023, pp. 2553-2558.
S. Gayan, R. Senanayake, H. Inaltekin and J. Evans, "Reliability Characterization for SIMO Communication Systems with Low-Resolution Phase Quantization under Rayleigh Fading," in IEEE Open Journal of the Communications Society, vol. 2, pp. 2660-2679, 2021.
S. Gayan, R. Senanayake, H. Inaltekin and J. Evans, "Selection Combining for Multi-Antenna Communication with Low-Resolution ADCs," 2021 IEEE International Symposium on Information Theory (ISIT), 2021, pp. 3343-3348.
S. Gayan, R. Senanayake, H. Inaltekin and J. Evans, "Low-Resolution Quantization in Phase Modulated Systems: Optimum Detectors and Error Rate Analysis," in IEEE Open Journal of the Communications Society, vol. 1, pp. 1000-1021, 2020.
S. Gayan, H. Inaltekin, R. Senanayake and J. Evans, "Phase Modulated Communication with Low-Resolution ADCs," ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019, pp. 1-7.
S. Gayan, R. Senanayake and J. Evans, "On the symbol error probability for QPSK with quantized observations," 2017 27th International Telecommunication Networks and Applications Conference (ITNAC), 2017, pp. 1-6.