TY - GEN
T1 - Reconfigurable Intelligent Surface-Enabled Physical-Layer Network Coding for Higher Order M-QAM Signals
AU - Doost, Ehsan Atefat
AU - Saghezchi, Firooz B.
AU - Fondo-Ferreiro, Pablo
AU - Gil-Castiñeira, Felipe
AU - Papaioannou, Maria
AU - Vardakas, John
AU - Surattanagul, Jinwara
AU - Rodriguez, Jonathan
N1 - Funding Information:
This work was supported in part by i) FCT through the PhD scholarship with reference No. 2021.08263.BD; ii) Xunta de Galicia (Spain) under grant ED481B-2022-019; and iii) EXPLOR project funded by H2020-MSCA-RISE-2019 (grant agreement ID: 872897).
Publisher Copyright:
© 2023 IEEE.
PY - 2024/2/26
Y1 - 2024/2/26
N2 - Physical-Layer Network Coding (PNC) is an effective technique to improve the throughput and latency in wireless networks. However, there are two major challenges for PNC, especially when using higher order modulations: 1) phase synchronization and power control at the paired User Equipments (UEs); and 2) the ambiguity removal of the PNC mapping at the relay node. To address these challenges, in this paper, we apply power control at transmitting UEs and exploit Reconfigurable Intelligent Surfaces (RISs) to synchronize the phase of the transmitted signals and ensure that they arrive at the relay with the same power and phase rotation. Then, we employ modular addition for an unambiguous PNC mapping for M-ary Quadrature Amplitude Modulations (M-QAM). We evaluate the performance of the system in the framework of Orthogonal Frequency Division Multiplexing (OFDM)-PNC for different RIS sizes and modulation orders. Furthermore, we study the sensitivity of PNC systems for Channel Estimation Error (CEE). The results reveal that 1) PNC systems show quite higher sensitivity to CEE compared with RIS-assisted one-way relay channel systems; 2) when the CEE is low, RIS can considerably enhance the Signal-to-Noise Ratio (SNR) of the PNC system, e.g., for a Bit Error Rate (BER) of 10-3 (without channel coding), increasing the RIS size from one to 256 elements in 28 GHz band leads to 200% improvement in SNR.
AB - Physical-Layer Network Coding (PNC) is an effective technique to improve the throughput and latency in wireless networks. However, there are two major challenges for PNC, especially when using higher order modulations: 1) phase synchronization and power control at the paired User Equipments (UEs); and 2) the ambiguity removal of the PNC mapping at the relay node. To address these challenges, in this paper, we apply power control at transmitting UEs and exploit Reconfigurable Intelligent Surfaces (RISs) to synchronize the phase of the transmitted signals and ensure that they arrive at the relay with the same power and phase rotation. Then, we employ modular addition for an unambiguous PNC mapping for M-ary Quadrature Amplitude Modulations (M-QAM). We evaluate the performance of the system in the framework of Orthogonal Frequency Division Multiplexing (OFDM)-PNC for different RIS sizes and modulation orders. Furthermore, we study the sensitivity of PNC systems for Channel Estimation Error (CEE). The results reveal that 1) PNC systems show quite higher sensitivity to CEE compared with RIS-assisted one-way relay channel systems; 2) when the CEE is low, RIS can considerably enhance the Signal-to-Noise Ratio (SNR) of the PNC system, e.g., for a Bit Error Rate (BER) of 10-3 (without channel coding), increasing the RIS size from one to 256 elements in 28 GHz band leads to 200% improvement in SNR.
KW - Ambiguity Removal
KW - Channel Estimation Error
KW - Phase Synchronization
KW - Physical-Layer Network Coding
KW - Quadrature Amplitude Modulation
KW - Reconfigurable Intelligent Surface
U2 - 10.1109/GLOBECOM54140.2023.10437585
DO - 10.1109/GLOBECOM54140.2023.10437585
M3 - Conference contribution
AN - SCOPUS:85187380869
T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM
SP - 86
EP - 91
BT - GLOBECOM 2023 - 2023 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Global Communications Conference, GLOBECOM 2023
Y2 - 4 December 2023 through 8 December 2023
ER -