English

Joint Data and Active User Detection for Grant-free FTN-NOMA in Dynamic Networks

Signal Processing 2020-02-20 v1

Abstract

Both faster than Nyquist (FTN) signaling and non-orthogonal multiple access (NOMA) are promising next generation wireless communications techniques as a benefit of their capability of improving the system's spectral efficiency. This paper considers an uplink system that combines the advantages of FTN and NOMA. Consequently, an improved spectral efficiency is achieved by deliberately introducing both inter-symbol interference (ISI) and inter-user interference (IUI). More specifically, we propose a grant-free transmission scheme to reduce the signaling overhead and transmission latency of the considered NOMA system. To distinguish the active and inactive users, we develop a novel message passing receiver that jointly estimates the channel state, detects the user activity, and performs decoding. We conclude by quantifying the significant spectral efficiency gain achieved by our amalgamated FTN-NOMA scheme compared to the orthogonal transmission system, which is up to 87.5%.

Keywords

Cite

@article{arxiv.2002.07992,
  title  = {Joint Data and Active User Detection for Grant-free FTN-NOMA in Dynamic Networks},
  author = {Weijie Yuan and Nan Wu and Jinhong Yuan and Derrick Wing Kwan Ng and Lajos Hanzo},
  journal= {arXiv preprint arXiv:2002.07992},
  year   = {2020}
}

Comments

To appear in IEEE ICC2020

R2 v1 2026-06-23T13:46:21.712Z