  Mission critical Machine-type Communication, also referred to as
Ultra-reliable Low Latency Communication is primarily characterized by
communication that provides ultra-high reliability and very low latency to
concurrently transmit short commands to a massive number of connected devices.
While the reduction in PHY layer overhead and improvement in channel coding
techniques are pivotal in reducing latency and improving reliability, the
current wireless standards dedicated to support mcMTC rely heavily on adopting
the bottom layers of general-purpose wireless standards and customizing only
the upper layers. The mcMTC has a significant technical impact on the design of
all layers of the communication protocol stack. In this paper, an innovative
bottom-up approach has been proposed for mcMTC applications through PHY layer
targeted at improving the transmission reliability by implementing
ultra-reliable channel coding scheme in the PHY layer of IEEE 802.11a bearing
in mind short packet transmission system. To achieve this aim, we analyzed and
compared the channel coding performance of convolutional codes, LDPC codes, and
polar codes in wireless network on the condition of short data packet
transmission. The Viterbi decoding algorithm, logarithmic belief propagation
algorithm, and cyclic redundancy check - successive cancellation list decoding
algorithm were adopted to CC, LDPC codes, and polar codes, respectively.
Consequently, a new PHY layer for mcMTC has been proposed. The reliability of
the proposed approach has been validated by simulation in terms of Bit error
rate vs. SNR. The simulation results demonstrate that the reliability of IEEE
802.11a standard has been significantly improved to be at PER less 10e-5 with
the implementation of polar codes. The results also show that the
general-purpose wireless networks are prominent in providing short packet mcMTC
with the modification needed.
