Spectral Efficiency Augmentation in Uplink Massive MIMO Systems by Increasing Transmit Power and Uniform Linear Array Gain

Abstract

Improved Spectral Efficiency (SE) is a prominent feature of Massive Multiple-Input and Multiple-Output systems. These systems are prepared with antenna clusters at receiver (Rx) and transmitter (Tx). In this paper, we examined a massive MIMO system to increase SE in each cell that ultimately improves the area throughput of the system. We are aiming to find appropriate values of average cell-density (D), available bandwidth (B), and SE to maximize area throughput because it is the function of these parameters. Likewise, a SE augmentation model was developed to attain an increased transmit power and antenna array gain. The proposed model also considers the inter-user interference from neighboring cells along with incident angles of desired and interfering users. Moreover, simulation results validate the proposed model that is implementable in real-time scenarios by realizing maximum SE of 12.79 bits/s/Hz in Line of Sight (LoS) and 12.69 bits/s/Hz in Non-Line of Sight (NLoS) scenarios, respectively. The proposed results also substantiate the SE augmentation because it is a linear function of transmit power and array gain while using the Uniform Linear Array (ULA) configuration. The findings of this work ensure the efficient transmission of information in future networks.

Energy Efficiency Augmentation in Massive MIMO Systems through Linear Precoding Schemes and Power Consumption Modeling

“…Realizing unbounded EE is impossible because the system model does not consider the power expended by analog circuits (for radio frequency (RF) and baseband processing) and signal processing that raises linearly with M and N. Hence, it can be taken as constant only in massive MIMO setups where values of M and N are comparatively small, while its changeability can be observed in massive MIMO systems in which, (M, N ≫ 1). The definition of massive MIMO in [1] also supposed the ration of M and N ≫ 1, while in [2,3], the ratio has been taken as a small constant value. All BS process its signals independently by using linear transmit precoding and received combining.…”

“…We have considered a canonical massive MIMO system model that is implementable in real-time testbeds. Massive MIMO system shows many advantages over MIMO systems low power consumption because of enlarged antenna aperture and improved network capacity [2]. So far, efficient modeling of power consumption is a protuberant apprehension of these systems.…”

Advanced Physical-Layer Technologies for Beyond 5G Wireless Communication Networks

“…Spectral efficiency (SE) is a highlighted feature of 5G/B5G MIMO systems. In the fourth paper, titled Spectral-Efficiency Augmentation in Uplink Massive MIMO Systems by Increasing Transmit Power and Uniform Linear Array Gain [ 16 ], the authors examined a massive MIMO system to increase the SE in each cell and consequently the area throughput of the proposed system. The presented analytical modeling indicated the possibility of maximizing area throughput by determining appropriate parameters in terms of average cell density, available bandwidth, and SE.…”

Inter-Beam Co-Channel Downlink and Uplink Interference for 5G New Radio in mm-Wave Bands

“…The partial-nulling based statistical beamforming is an example of such a procedure, the use of which is based on the division of all users into two groups with a significantly different degree of spatial correlation [ 12 ]. The solution presented in [ 13 ] is another example that increases the spectral efficiency in massive-MIMO systems. These selected examples show the importance of assessing the level of interference between the beams of the antenna system from other users in developing and implementing new solutions.…”