In this paper, we propose a VLSI architecture to implement our proposed reversed-trellis TBCC (RT-TBCC) algorithm. Hence, several algorithms have been developed to overcome this issue in which most of them are implemented iteratively with uncertain number of iteration. Unfortunately, it makes the decoding computation becomes more complex. This concept is needed to achieve an effective decoding computation. This method is implemented by replacing the fixed tail with tail-biting data. Tail-biting convolutional codes (TBCC) have been extensively applied in communication systems. This is followed by a performancecomparative analysis, which is mainly conducted to determine the limits and suitableuse cases of each technology. A complete evalua-tion of NB-IoT and LTE-M performance against 5G mMTC requirements is presented,and it is shown that these requirements can be met but only under certain conditionsregarding system configuration and deployment. An overview ofthese technologies and their design principles is also described. This paper aims to determine the system configuration and deployment required forNB-IoT and LTE-M technologies to fully meet the 5G mMTC requirements in termsof coverage, throughput, latency, battery life, and connection density. For this purpose, the third generation partnership project (3GPP) has introducedtwo novel cellular IoT technologies supporting mMTC, known as NB-IoT and LTE-M. Therefore, moreimportance is attached to coverage, latency, power consumption, and connection den-sity. Also, emerging IoT applications introducenew requirements other than throughput to support massive machine-type commu-nication (mMTC) where small data packets are occasionally sent. Since the emerging 5G wireless network is expected to significantly revolutionize thefield of communication, its standardization and design should regard the internet ofthings (IoT) among the main orientations. The result obtained that the SCFDMA system can improve the performance of BER and PAPR about 42% and 47% with diversity technique. From the analysis, the space-time-frequency block coding (STFBC) shows better OFDMA and SCFDMA system in order to minimize PAPR and BER were investigated. The best diversity scheme to implement in A comparison of space-time (ST), space-frequency (SF), and space-time-frequency (STF) block coding has been conducted for both systems to achieve better system performance. This study evaluates the performance of both OFDMA and SCFDMA system based on the bit error rate Thus, single carrier frequency division multiple access (SCFDMA) technology is used to compensate this issue. However, high peak-to-average power ratio (PAPR) in OFDMA causes non-linearity at the System to attain high transmission data rate and mitigate inter-symbol interference (ISI). In this course we will learn everything about LTE from Basics to advanced Optimization to be able to work as professional LTE Optimizer In RF vendors and Operators all over the world, course will be supported with Parameters values examplesĬourse Instructor is Eng.The multiple-input-multiple-output (MIMO) concept and orthogonal frequency division multiple access (OFDMA) combination has been perceived as the most auspicious
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