Narrowband Internet of Things (NB-IoT) is the efficient IoT cellular
network technology introduced to fulfil the low power wide area network
(LPWAN) a requirement of IoT devices which regarded as one of the enablers
of recent fifth-generation (5G) mobile communication
standard to support
massive Machine type communication (MTC) use case. NB-IoT is build based
on the existing LTE technology to extend its coverage suited for LPWAN. Besides, some of the LTE Physical (PHY) payer pillars remain the same
including SC-FDMA (single-carrier Frequency Division Multiple Access) and
Turbo coding for uplink channel. Although decoding of Turbo codes require
iterative decoding
algorithm at the expense of high computation complexity
Forward Error Correction (FEC) coding and power consumption. Therefore,
the legacy LTE turbo code will not be suited for NB-IoT LPWAN requirement
in 5G. In this paper, an efficient polar coding scheme
is proposed for the uplink data transmission in NB-IoT systems to improve
the error rate performances and reduce computation complexity implementation
We proposed polar based belief propagation (BP) decoding algorithm. We further
.
incorporate our proposed BP scheme
with CRC (Cyclic Redundancy Check) (BPC)
for both error detection and correction, thereby effectively optimize the decoding.
Simulation results demonstrate that the proposed scheme outperforms the existing
LTE Turbo codes and other polar decoding algorithms.