We propose to use second order Reed-Muller (RM) sequence for user identification in 5G grant-free access. The benefits of RM sequences mainly lie in two folds, (i) support of much larger user space, hence lower collision probability and (ii) lower detection complexity. These two features are essential to meet the massive connectivity (10 7 links/km 2 ), ultra-reliable and low-latency requirements in 5G, e.g., one-shot transmission (≤ 1ms) with ≤ 10 −4 packet error rate. However, the nonorthogonality introduced during sequence space expansion leads to worse detection performance. In this paper, we propose a noiseresilient detection algorithm along with a layered sequence construction to meet the harsh requirements. Link-level simulations in both narrow-band and OFDM-based scenarios show that RM sequences are suitable for 5G. 1 Index Terms-5G, Grant-free access, Reed-Muller Sequences, Internet of Things (IoT).
In REF , second-order RM sequences are invoked for massive access in 5G.
Reed-Muller Sequences for 5G Grant-Free Massive Access
GLOBECOM 2017 - 2017 IEEE Global Communications Conference
GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Computer Science Mathematics