Abstract
With the substantial growth in number of wireless devices, future communication demands overarching research to design high-throughput and efficient systems. We propose an intelligent Convergent Source Mapping (CSM) approach incorporating Differential Space-Time Spreading (DSTS) technique with Sphere Packing (SP) modulation. The crux of CSM process is assured convergence by attaining an infinitesimal Bit-Error Rate (BER). Data Partitioning (DP) H.264 video codec is deployed to gauge the performance of our intelligent and efficient system. For the purpose of efficient and higher data rates, we have incorporated compression efficient source encoding along with error resiliency and transmission robustness features. The proposed system follows the concept of iterations between the Soft-Bit Source-Decoder (SBSD) and Recursive Systematic Convolutional (RSC) decoder. Simulations of the DSTS-SP-assisted CSM system are presented for the correlated narrowband Rayleigh channel, using different CSM rates but constant overall bit-rate budget. The SP-assisted DSTS systems are mainly useful in decoding algorithms that operate without requiring Channel State Information (CSI). The effects of incorporating redundancy via different CSM schemes on the attainable performance and convergence of the proposed system are investigated using EXtrinsic Information Transfer (EXIT) charts. The effectiveness of the proposed system is demonstrated through IT++ based proof-of-concept simulations. The Peak Signal-to-Noise Ratio (PSNR) analysis shows that using Rate-2/6 CSM with minimum Hamming distance ( d H , min ) of 4 offers about 5 dB gain, compared to an identical overall system code rate but with Rate-2/3 CSM and d H , min of 2. Furthermore, for a consistent value of d H , min and overall rate, the Rate-2/3 CSM scheme beats the Rate-5/6 CSM by about 2 dB at the PSNR degradation point of 2 dB. Moreover, the proposed system with Rate-2/3 CSM scheme furnishes an E b / N 0 gain of 20 dB when compared with the uniform-rate benchmarker. Clearly, we can say that higher d H , min and lower CSM values are favourable for our proposed setup.
Highlights
Evolution in Internet of ings (IoT) and recent developments in ultrafast cellular technologies resulted in a constriction of available bandwidth [1, 2]
It is estimated that escalation in the demand of higher data rates and bandwidth efficient systems will continue to grow with the advent of Fifth-Generation (5G) wireless technology. 5G is expected to revolutionize the outlook of mankind in medical [3] and intelligent communication technologies [4]. us, further researches need to be carried out to better cope with the future demands of wireless and multimedia services
Source coding is an important approach to compress the original stream of data, focusing on the removal of redundancy from the stream for transmission over bandlimited channels. e unwanted concomitant is that removal of redundancy results in the hostile happening of unreliability in the transmitted data. e main reason for such unreliability is that transmission over a nonideal channel triggers distortions in the transmitted signal
Summary
Evolution in Internet of ings (IoT) and recent developments in ultrafast cellular technologies resulted in a constriction of available bandwidth [1, 2]. DP splits the stream in line with the level of significance of data into three substreams, each having specific level of importance Another approach known as Irregular Variable Length Coding (IrVLC) was efficiently utilized in schemes with joint source and channel coding [11]. (ii) Incorporating the technique of DSTS-SP in CSM scheme and investigating its effects using two Transmitters (Txs) and a simple Receiver (Rx) with no CSI requirements (iii) Analysing the effects of alterations in CSM rates and Hamming distance (dH, min) on the EXIT convergence and, attainable performance of the proposed system (iv) Quantifying the video performance of the presented system with the H.264 standard e remainder of this article is organized as follows.
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