Capacity Analysis of Hybrid MIMO Using Sparse Signal Processing in mmW 5G Heterogeneous Wireless Networks
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Capacity Analysis of Hybrid MIMO Using Sparse Signal Processing in mmW 5G Heterogeneous Wireless Networks Sanjeev Chopra1 · Ajay Kakkar1 Accepted: 14 September 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The mmW cellular systems of large bandwidths offer multiple times rise in capacity as compared to existing 4G networks with comparable cell density. These avoid the unnecessary cell splitting by enlarging the capacity of individual tiny cells significantly in a scenario of very high-density cell deployments. This work will provide an opportunity to achieve a particular capacity value by varying the mmW channel gain in the 5G and 6G wireless networks. The OMP algorithm is modified and the existing sparse signal processing concept is utilized for the capacity analysis of hybrid MIMO here. The capacity (b/s/ Hz) of the conventional and hybrid MIMOs are calculated and compared against given SNR range (dB) in a 5G mmW heterogeneous network under different values of mmW channel gain. It has been found that capacity analysis curves of conventional and hybrid MIMOs both show a descending trend with the increase in SNR range as the channel gain is increased due to over-saturation of the used sparse mmW channel. These curves exhibit local variation, time dependence, frequency selectivity, reliable communication rate, and diversity on both ends and the use of MIMO has a gain in degrees of freedom. The hybrid MIMO due to hardware limitations of conventional MIMO utilized a large number of antennas with lesser radio frequency chains. At some point of channel gain, its capacity curve approached the capacity curve of conventional MIMO in a moderate SNR range, and approached very closely for all channel gains in low and high SNR ranges. Keywords Additive white Gaussian noise (AWGN) · Capacity · Millimeter wave · Multiple signal classification · Multiple-input–multiple-output (MIMO) · Sparse signal processing
1 Introduction The time has come to utilize the capacity in the new Millimeter-Wave (mmW) bands due to today’s serious crunch of spectrum. Backhaul of suitable kind is provided in the mmW spectrum and it reduces costs further. The ever-expanding arrival of mobile users and * Sanjeev Chopra [email protected] Ajay Kakkar [email protected] 1
T.I.E.T., Patiala, Punjab, India
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new technologies, and the demands for everywhere connectivity, faster data speed, high data capacity, low latency, and reliable intelligent services have been driven the hunt for the next fifth generation (5G) of the wireless networks [1] and 5G vehicular communication systems [2]. The numerous constantly emerging wireless terminals and equipment have brought intense changes to our day-to-day life. Unfortunately, the limited spectrum available met the ever-increasing traffic demand of the coming 5G [3], Internet of Things (IoT) networks [4], and popularization of robots, which posed a remarkable test question to the spectrum utilization and management.
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