International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Student Project | Electronics and Communication Engineering | Volume 15 Issue 4, April 2026 | Pages: 1741 - 1745 | India


Adaptive Modulation and Coding in 5G Wireless Communication Systems

Dr. Padma Ratna G, B. Sravanthi, R. Thirumala Sri, V Nagender Reddy

Abstract: Adaptive Modulation and Coding (AMC) is a critical technique employed in 5G wireless communication systems to dynamically adjust the modulation order and coding rate based on real-time channel conditions. As 5G aims to support diverse applications ranging from enhanced mobile broadband (eMBB) to ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC), AMC provides the necessary flexibility and efficiency to meet these varied performance requirements. By intelligently switching between modulation schemes such as QPSK, 16-QAM, 64-QAM, and 256-QAM and adapting coding rates, AMC maximizes spectral efficiency, increases data throughput, and ensures transmission reliability under fluctuating signal-to-noise ratios (SNR). In 5G systems, AMC is tightly integrated with advanced features like massive MIMO, beamforming, and hybrid automatic repeat request (HARQ), enabling robust link adaptation and efficient use of available resources. Thus, AMC is instrumental in achieving the high capacity, performance, and resilience demanded by next-generation wireless networks.

Keywords: Adaptive Modulation and Coding (AMC), Bit Error Rate (BER), Signal-to-Noise Ratio (SNR), Spectral Efficiency, Throughput, Wireless Communication

How to Cite?: Dr. Padma Ratna G, B. Sravanthi, R. Thirumala Sri, V Nagender Reddy, "Adaptive Modulation and Coding in 5G Wireless Communication Systems", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1741-1745, https://www.ijsr.net/getabstract.php?paperid=SR26423123128, DOI: https://dx.dx.doi.org/10.21275/SR26423123128

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