A Systematic Review on Challenges in Massive MIMO Based 5G and Beyond Wireless Networks and Their Solutions
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Abstract
In the new era of wireless communication networks, ubiquitous connectivity with high quality multimedia services is the key requirements of high data rate transmission. In view of this, fifth generation (5G) wireless systems has been defined to handle new and enormous communication traffics efficiently for massive number of devices. 5G wireless network marks the start of real digital era for the use cases like Ultra-Reliable and Low Latency Communications (URLLC), enhanced Mobile Broadband (eMBB) and massive Machine-Type Communications (mMTC) that support low latency and high data rates for diverse range of connected devices. Currently on-going deployment and testing of 5G wireless systems is revealing its inherent limitations and needs to redefine the challenges faced by it. Massive Multiple Input and Multiple Output (MIMO) technology plays major role in 5G in which large antenna arrays are implemented at the base station. Massive MIMO facilitate spatial multiplexing for enhancing the capacity and spectral efficiency (SE) of the network. This survey is focused on the massive MIMO related issues. Channel Estimation (CE) is one of the important factors influencing the receiver performance. To get perfect CE in spatially correlated channels advanced detectors are to be designed to optimize performance and complexity. Besides CE, due to increased number of antennas, the signal processing for the detection of transmitted signal becomes more complicated. In this review paper, a framework for CE and signal detection techniques in implementation scenario of massive MIMO in 5G networks is presented. Moreover, various techniques and challenges among existing solutions in terms of their respective advantages and limitations are elaborated. This survey emphasizes on solutions suggested by researchers and open research issues in channel estimation and signal detection in
massive MIMO systems for 5G and beyond wireless networks.
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