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BER Analysis of Massive MIMO in Heterogeneous Cellular Network

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Edge Analytics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 869))

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Abstract

In fifth-generation (5G) technology, massive multiple input and multiple output (MIMO) plays a very significant role in spectral efficiency enhancement and interference cancellation. It also does beam forming using maximal ratio combining (MRC) to obtain high throughput and good quality of service (QoS). All these are achievable by using higher-order modulation technique, transmission power control, and proper usage of radio resources in RF channel with minimizing interference. As MIMO technology uses multiple transmitting and receiving antennas, the spectral resources can be shared between multiple UEs simultaneously. Further, the 5G network is multi-tier and ultra-dense heterogeneous cellular network (HetNet) that accomplishes efficient spectrum usage through carrier aggregation. For improving spectrum resource efficiency (SRE) and RF channel utilization, source bits must be accurately transmitted to the destination. This can be quantified with high symbol efficiency and minimum Bit Error Rate (BER). In this paper, BER for various RF channels was investigated with AWGN noise, Rayleigh fading, and MIMO capacity for multiple UEs. The experimentation is done using MATLAB14b, and the iteration is carried out till convergence is obtained.

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Acknowledgements

This work was supported in part by Visvesvaraya Ph.D. Scheme/DIC/MeitY of Govt. of India under ESDM/5G communications research scheme with reference number VISPHD-MEITY-779.

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Sahu, G., Pawar, S.S. (2022). BER Analysis of Massive MIMO in Heterogeneous Cellular Network. In: Patgiri, R., Bandyopadhyay, S., Borah, M.D., Emilia Balas, V. (eds) Edge Analytics. Lecture Notes in Electrical Engineering, vol 869. Springer, Singapore. https://doi.org/10.1007/978-981-19-0019-8_50

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  • DOI: https://doi.org/10.1007/978-981-19-0019-8_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0018-1

  • Online ISBN: 978-981-19-0019-8

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