Sum-Rate Performance of Massive MIMO Systems in Highly Scattering Channel with Semi-Orthogonal and Random User Selection

2018 ◽  
Vol 61 (12) ◽  
pp. 547-555 ◽  
Author(s):  
Tasher Ali Sheikh ◽  
Joyatri Bora ◽  
Md. Anwar Hussain
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
User Selection ◽  
Rate Performance ◽  
Sum Rate

scholarly journals Location-dependent User Selection Based on Sum Rate Approximation in Large System Regime for Massive MIMO

2018 ◽  
Vol 218 ◽  
pp. 03010 ◽  
Author(s):  
Vera Noviana Sulistyawan ◽  
Rina Pudji Astuti ◽  
Arfianto Fahmi
Keyword(s):  
Urban Areas ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Path Loss ◽  
Large System ◽  
User Selection ◽  
Rate Performance ◽  
Selection Scheme ◽  
Multiple User ◽  
Sum Rate

Massive MIMO with multiple BS antennas can give simultaneous service for multiple user equipments (UEs) that are widely considered in massive connectivity to meet high data rate requirements. User selection is critical to optimize the overall performance of MIMO systems in various scenarios and has been extensively studied in cellular networks to guarantee service for users. In the previous study, location-dependent user selection (LUS) had extremely low computational complexity which is capable to enhance sum rate performance, but there are many environmental condition assumptions that make this algorithm does not reflect real conditions. In this research, we proposed modified LUS with approximations of sum rate in large system regimes by adding the sum ergodic of the distance from one user to another which enhance sum rate performance. In addition, we vary the user environment that was ignored in previous research by varying the path loss exponent values. In this research, we focus modify on sub-urban areas with each UEs having different environmental conditions. The selection scheme is equipped with spatial correlation fading on the transmitter side MIMO antenna. The simulation shows an increase in sum rate between 0.0012 to 0.3935 in perfect CSI. For the imperfect CSI with antenna correlation coefficient for power at 30 dBm is 0.5 when 32x64 antennas is 14 optimal active UEs with sum rate is 23.4207 bps/Hz. For cases where the user is located in different positions with different environmental circumstances, with 32x64 antennas showing the highest sum rate is 24.8436 bps/Hz with 17 optimal UEs.

scholarly journals Spatio-Radio Resource Management and Hybrid Beamforming for Limited Feedback Massive MIMO Systems

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1061 ◽  
Author(s):  
Hedi Khammari ◽  
Irfan Ahmed ◽  
Ghulam Bhatti ◽  
Masoud Alajmi
Keyword(s):  
Massive Mimo ◽  
Fourier Transforms ◽  
Mimo Systems ◽  
Limited Feedback ◽  
Base Station ◽  
Discrete Fourier Transforms ◽  
Beam Selection ◽  
Sum Rate ◽  
Hybrid Beamforming ◽  
Csi Feedback

In this paper, a joint spatio–radio frequency resource allocation and hybrid beamforming scheme for the massive multiple-input multiple-output (MIMO) systems is proposed. We consider limited feedback two-stage hybrid beamformimg for decomposing the precoding matrix at the base-station. To reduce the channel state information (CSI) feedback of massive MIMO, we utilize the channel covariance-based RF precoding and beam selection. This beam selection process minimizes the inter-group interference. The regularized block diagonalization can mitigate the inter-group interference, but requires substantial overhead feedback. We use channel covariance-based eigenmodes and discrete Fourier transforms (DFT) to reduce the feedback overhead and design a simplified analog precoder. The columns of the analog beamforming matrix are selected based on the users’ grouping performed by the K-mean unsupervised machine learning algorithm. The digital precoder is designed with joint optimization of intra-group user utility function. It has been shown that more than 50 % feedback overhead is reduced by the eigenmodes-based analog precoder design. The joint beams, users scheduling and limited feedbacK-based hybrid precoding increases the sum-rate by 27 . 6 % compared to the sum-rate of one-group case, and reduce the feedback overhead by 62 . 5 % compared to the full CSI feedback.

scholarly journals Energy efficiency and sum rate tradeoffs for massive MIMO systems with underlaid device-to-device communications

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Serveh Shalmashi ◽  
Emil Björnson ◽  
Marios Kountouris ◽  
Ki Won Sung ◽  
Mérouane Debbah
Keyword(s):  
Energy Efficiency ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Device To Device ◽  
Sum Rate

On error rate performance of multi-cell massive MIMO systems with linear receivers

2016 ◽  
Vol 20 ◽  
pp. 123-132 ◽  
Author(s):  
Haiquan Wang ◽  
Meijun Zhou ◽  
Ruiming Chen ◽  
Wei Zhang
Keyword(s):  
Error Rate ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Rate Performance ◽  
Linear Receivers
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