Robust Bit Error Rate Optimization for MASSIVE MIMOCEM System using Channel Coding Method
G. Jagga Rao1, Y. Chalapathi Rao2
1G. Jagga Rao, Research Scholar, Department of Electronics and Communication Engineering, Shri Jagdishprasad Jhabarmal Tibrewala University, Vidya Nagar, Rajasthan, India.
2Dr.Y. Chalapathi Rao, Associate Professor, Department of Electronics and Communication Engineering, Vallurupalli Nageswara Rao, Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript Published on 20 March 2019 | PP: 180-184 | Volume-8 Issue- 4S2 March 2019 | Retrieval Number: D1S0037028419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: MASSIVE MIMO constant envelope modulation (MASSIVE MIMOCEM) is offered as promising opportunity contender for the usually worn MIMO-OFDM system owing to its terrific functionality in together of power and intricacy. This enhancement in an overall recital is won because of the usage of the proficient nonlinear power amplifier at transmitter facet and one-bit ADC sampled at the intermediate frequency in the receiver facet. On the other hand, regardless of devices design offers stumpy power intake and occasional layout intricacy; a tremendous diminution in BER recital is brought. This was an outcome of the use of one-bit Analog-Digital-Converter sampled inside intermediate frequency which induced extreme quantization-noise. Consequently, the appropriate channel coding approach turns out to be anticipated to conquer this BER presentation dilapidation. In this article, a discriminatory channel-coding technique is calculated for MASSIVE MIMOCEM machine is carried out to advance high bit error-rate dilemma of the MASSIVE MIMOCEM system. The assessment of this has a look at becomes accomplished over a multipath Rayleigh fading channel with each MSK modulation and GAUSSIAN-MSK modulation. The simulation effects display a tremendous development in the bit error rate performance at low values of SNR while low weight parity check channel-coding is used, whilst the Convolutional Code along with Viterbi Decoder achieve pleasant BER recital at large Signal to Noise Ratio values and for low and high SNR’s the Successive BCH algorithm is used.
Keywords: LWPC Code; MASSIVE MIMOCEM; one-bit Analog to Digital Converter (ADC); Viterbi Decoder code (VDC).
Scope of the Article: Communication