# Transmitter Diversity Gain Technique Aided Irregular Channel Coding for Mobile Video Transmission
###### Abstract  
The reliable transmission of multimedia information that is coded through highly compression efficient encoders is a challenging task. This article presents the iterative convergence performance of IrRegular Convolutional Codes (IRCCs) with the aid of the multidimensional Sphere Packing (SP) modulation assisted Differential Space Time Spreading Codes (IRCC-SP-DSTS) scheme for the transmission of H.264/Advanced Video Coding (AVC) compressed video coded stream. In this article, three different regular and irregular error protection schemes are presented. In the presented Regular Error Protection (REP) scheme, all of the partitions of the video sequence are regular error protected with a rate of 3/4 IRCC. In Irregular Error Protection scheme-1 (IREP-1) the H.264/AVC partitions are prioritized as A, B & C, respectively. Whereas, in Irregular Error Protection scheme-2 (IREP-2), the H.264/AVC partitions are prioritized as B, A, and C, respectively. The performance of the iterative paradigm of an inner IRCC and outer Rate-1 Precoder is analyzed by the EXtrinsic Information Transfer (EXIT) Chart and the Quality of Experience (QoE) performance of the proposed mechanism is evaluated using the Bit Error Rate (BER) metric and Peak Signal to Noise Ratio (PSNR)-based objective quality metric. More specifically, it is concluded that the proposed IREP-2 scheme exhibits a gain of 1 dB \(E_{\mathrm{b}}/N_{0}\) with reference to the IREP-1 and \(E_{\mathrm{b}}/N_{0}\) gain of 0.6 dB with reference to the REP scheme over the PSNR degradation of 1 dB. IrRegular Convolutional Codes (IRCCs); IRCC-SP-DSTS 2021 232320  
a challenging task when compared to the wired communication channels, e.g., coaxial cable, fiber, microwave, etc. In the wired communication channel, reducing the error rate from \(10^{-2}\) to \(10^{-3}\) may be obtained by increasing 1 or 2 dB SNR. On the contrary, the same cannot be achieved in the next generation by increasing the transmission power or bandwidth, as it is contrary to the requirements of the next generation systems. Therefore, it is very important to mitigate the error rate without any further increase in the power or sacrifice in bandwidth [4]. In the Rayleigh fading channel, due to the destructive addition of multi-path propagation signals, the Signal to Noise Ratio (SNR) of the transmitted signal sometimes occurred under deep fade for which the receiver cannot reliably decode and estimate the exact transmitted signal. The diversity technique is used, in which multiple replicas of the same signal are transmitted from multiple transmitting antennas while assuming that one of the replicas has to be a sufficient SNR for decoding. An issue arises as to transmitting multiple copies with minimum transmitting power, bandwidth, and decoding complexity. However, multiple replicas of the signal can be transmitted using different techniques, such as by using different time slots (temporal diversity gain), different frequency slots (frequency diversity gain), and different polarization or transmitting antenna (spatial diversity gain). Temporal and frequency diversity gain techniques are not bandwidth efficient. Space-Time Codes (STC) [2; 5; 6] provides maximum diversity gain through spatial diversity, attaining better throughput, and coding gain but has a higher complexity. Space-Time Block Codes (STBC) [7], on the other hand, reduces the complexity, while at the same time providing diversity and coding gain. At the receiving end, the receiver either combines all of the copies of the signal to produce diversity gain or pick up the signal with the highest SNR among all the received signals. Therefore, two methods are used which is Maximum Ratio Combining (MRC) and Selection Combining (SC). More specifically, the MRC technique combines all of the signals received at one time for decoding the transmitted signal from N transmitting antennas and received at M receiving antennas, while providing a diversity gain of M times the SNR of the received signal.