Convolutionally Coded SNR-Adaptive Transmission for Low-Latency Communications

Abstract

Fifth generation new radio aims to facilitate new use cases in wireless communications. Some of these new use cases have highly demanding latency requirements; many of the powerful forward error correction codes deployed in current systems, such as the turbo and low-density parity-check codes, do not perform well when the low-latency requirement does not allow iterative decoding. As such, there is a rejuvenated interest in noniterative/one-shot decoding algorithms. Motivated by this, we propose a signal-to-noise ratio-adaptive convolutionally coded system with optimized constellations designed specifically for a particular set of convolutional code parameters. Numerical results show that significant performance improvements in terms of bit-error-rate and spectral efficiency can be obtained compared to the traditional adaptive modulation and coding systems in low-latency communications.

Coded Transmission under Non-Cooperative Radar Interference

“…In the case of S I, (3) can be applied as the decoding rule in soft-decision Viterbi decoding process. Then, the probability of decoding an erroneous symbol,x, instead of an actually transmitting one, x, can be formulated as [18]…”

“…In order to validate the analysis for an irregular M -ary constellation, (16), irregular 64-ary constellation given in Fig. 4 which was originally proposed in [18] is used and [1101; 0111] is also applied as the puncturing pattern in [5,7] 8 convolutional encoder. Fig.…”

Massive MIMO for Connectivity With Drones: Case Studies and Future Directions

“…New flexible MAC layer designs are possible, because unlike existing wireless standards, drone networks do not have backward-compatibility requirements. For video and image transmissions, along with Massive MIMO, efficient cross-layer designs can be utilized to enhance the performance of drone networks [73]- [75].…”

Data-Oriented View for Convolutional Coding With Adaptive Irregular Constellations

“…A comprehensive overview about deploying irregular constellation designs and its practicability issues was given in [12]. For convolutionally coded transmission, [13] presents the error performance analysis when irregular constellations are deployed and the optimized irregular constellations obtained from this analysis were presented in [14]. However, these studies were based on long term average channel characteristics, so called channel-oriented approach, and lacked of reflecting any specific parameter related with individual data transmission.…”