Spectrum Efficiency and BER Analysis of Cell Free Massive MIMO Systems with QR-RLS Technique

2019 ◽  
Vol 7 (5) ◽  
pp. 1518-1522
Author(s):  
Surabhi Mishra ◽  
Neeraj Shrivastava
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Spectrum Efficiency ◽  
Ber Analysis

scholarly journals BER and Spectrum Efficiency Analysis of Massive MIMO Systems for IoT Application

2019 ◽  
Vol 8 (4) ◽  
pp. 10587-10591
Keyword(s):  
Channel Estimation ◽  
Massive Mimo ◽  
Large Scale ◽  
Mimo Systems ◽  
Efficiency Analysis ◽  
Spatial Multiplexing ◽  
Spectrum Efficiency ◽  
Estimation Technique ◽  
Information Request ◽  
Factual Data

The fifth era of portable correspondence frameworks (5G) guarantees uncommon degrees of availability and nature of administration (QoS) to fulfill the unremitting development in the quantity of versatile savvy gadgets and the colossal increment in information request. One of the essential ways 5G organize innovation will be practiced is through arrange densification, to be specific expanding the quantity of radio wires per site and sending littler and littler cells. Gigantic MIMO, where MIMO represents numerous info various yield, is generally expected to be a key empowering agent of 5G. This innovation use a forceful spatial multiplexing, from utilizing countless transmitting/accepting reception apparatuses, to duplicate the limit of a remote channel. Such an appropriated engineering gives extra large scale decent variety, and the co-handling at numerous APs completely smothers the between cell obstruction. Contingent upon moderate/quick channel blurring conditions, a few creators recommended versatile LMS, RLS and NLMS based channel estimators, which either require factual data of the channel or are not proficient enough as far as execution or calculations. So as to conquer the above impacts, the work centers around the QR-RLS based channel estimation technique for Massive MIMO frameworks with various regulation plan.

scholarly journals A New Method in Pilot Reuse Factor Selection in Spectrum Efficient Massive MIMO Systems

2019 ◽  
Vol 25 (6) ◽  
pp. 70-77 ◽  
Author(s):  
Osman Dikmen ◽  
Selman Kulac
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Wave Structure ◽  
Base Station ◽  
Spectrum Efficiency ◽  
Zero Forcing ◽  
Millimetre Wave ◽  
Maximum Ratio Combining ◽  
A Cell ◽  
Definition Of

Spectrum efficiency studies of Massive MIMO systems have continued and still have not been fully explored in the literature. Therefore, the spectrum efficiency definition of a particular user in a cell in a Massive MIMO network is expressed in this paper. In addition, the uplink spectrum efficiency expressions for the Rayleigh fading are included. The Monte Carlo simulations are performed to verify these expressions. Due to the expectation of reaching to a thousand antennas together with the millimetre wave structure in the next years, in this study, it is contributed to the literature by explaining how to select the pilot reuse factor. The realization of this contribution is based on Zero Forcing (ZF) and Maximum Ratio Combining (MRC) schemes. The results of this study are useful for optimal design conditions, such as the number of antennas on the base station and pilot reuse factor selection for the next generation networks in order to obtain spectrum efficiency in Massive MIMO systems.

scholarly journals On Matrix Completion-Based Channel Estimators for Massive MIMO Systems

Symmetry ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 1377
Author(s):  
Mingjun Ding ◽  
Xiaodong Yang ◽  
Rui Hu ◽  
Zhitao Xiao ◽  
Jun Tong ◽  
...  
Keyword(s):  
Computational Complexity ◽  
Massive Mimo ◽  
Communication Systems ◽  
Large Scale ◽  
Hybrid Methods ◽  
Mimo Systems ◽  
Low Cost ◽  
Matrix Completion ◽  
Spectrum Efficiency ◽  
Robust Solution

Large-scale symmetric arrays such as uniform linear arrays (ULA) have been widely used in wireless communications for improving spectrum efficiency and reliability. Channel state information (CSI) is critical for optimizing massive multiple-input multiple-output(MIMO)-based wireless communication systems. The acquisition of CSI for massive MIMO faces challenges such as training shortage and high computational complexity. For millimeter wave MIMO systems, the low-rankness of the channel can be utilized to address the challenge of training shortage. In this paper, we compared several channel estimation schemes based on matrix completion (MC) for symmetrical arrays. Performance and computational complexity are discussed and compared. By comparing the performance in different scenarios, we concluded that the generalized conditional gradient with alternating minimization (GCG-Alt) estimator provided a low-cost, robust solution, while the alternating direction method of multipliers (ADMM)-based hybrid methods achieved the best performance when the array response was perfectly known.

scholarly journals Satellite-Assisted Cell-Free Massive MIMO Systems with Multi-Group Multicast

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6222
Author(s):  
Jiamin Li ◽  
Lingling Chen ◽  
Pengcheng Zhu ◽  
Dongming Wang ◽  
Xiaohu You
Keyword(s):  
Closed Form ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Transmission Efficiency ◽  
Spectrum Efficiency ◽  
Achievable Rate ◽  
Zero Forcing ◽  
Channel State ◽  
Average System ◽  
Ratio Transmission

In this paper, we use satellite-assisted and multi-group multicast mechanisms to relieve ground traffic pressure and improve data transmission efficiency of cell-free massive MIMO systems. We propose to estimate channel state information (CSI) by common pilot scheme. Given the estimated CSI, we derive the closed-form expressions of achievable rate with maximum ratio transmission (MRT) and zero-forcing (ZF) precoding. The correctness of the closed-form expressions is verified through simulations. The results show that with the help of satellite and multicast, the average system spectrum efficiency (SE) can be significantly improved.

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