activity
20172022
most citedSymbol-Based Multi-Layer Iterative Successive Interference Cancellation for Faster-Than-Nyquist Signaling

2 citations · 3 across the 2 of their papers we have counts for

collaborators

6 papers

eess.SP2022★ 1 cited

User Pairing and Power Allocation for FTN-based SC-NOMA and MIMO-NOMA Systems Considering User Fairness

Peiyang Song

The development of the industrial Internet of Things (IoT) calls for higher spectrum efficiency (SE). Faster than Nyquist (FTN) and non-orthogonal multiple access (NOMA) are both p…

eess.SP2020

For Intelligent and Higher Spectrum Efficiency: A Variable Packing Ratio Transmission System Based on Faster-than-Nyquist and Deep Learning

Peiyang Song, Nan Zhang, Lin Cai +2

With the rapid development of various services in wireless communications, spectrum resource has become increasingly valuable. Faster than Nyquist (FTN) signaling, proposed in the…

eess.SP2019

Deep Learning based Blind Symbol Packing Ratio Estimation for Faster-than-Nyquist Signaling

Peiyang Song, Fengkui Gong, Qiang Li

This letter proposes a blind symbol packing rartio estimation for faster-than-Nyquist (FTN) signaling based on state-of-the-art deep learning (DL) technology. The symbol packing ra…

eess.SP2019★ 2 cited

Symbol-Based Multi-Layer Iterative Successive Interference Cancellation for Faster-Than-Nyquist Signaling

Qiang Li, Feng-Kui Gong, Pei-Yang Song +1

A symbol-based multi-layer iterative successive interference cancellation (MLISIC) algorithm is proposed to eliminate the inter-symbol interference (ISI) for faster-than-Nyquist (F…

eess.SP2018

Receiver Design for Faster-than-Nyquist Signaling: Deep-learning-based Architectures

Peiyang Song, Fengkui Gong, Qiang Li +2

Faster-than-Nyquist (FTN) is a promising paradigm to improve bandwidth utilization at the expense of additional intersymbol interference (ISI). In this paper, we apply state-of-the…

eess.SP2017

Blind Estimation Algorithms for I/Q Imbalance in Direct Down-conversion Receivers

Peiyang Song, Fengkui Gong, Hang Zhang +1

As known, receivers with in-phase and quadrature phase (I/Q) down conversion, especially direct-conversion architectures, always suffer from I/Q imbalance. I/Q imbalance is caused…