scholarly journals Statistical analysis of CQI reporting and MIMO utilization for downlink scheduling in live LTE mobile network

2020 ◽  
Vol 12 (1) ◽  
pp. 8-12
Author(s):  
Igor Tomić ◽  
Đorđe Lukić ◽  
Milutin Davidović ◽  
Dejan Drajić ◽  
Predrag Ivaniš
Keyword(s):  
Statistical Analysis ◽  
Multiple Input Multiple Output ◽  
Mobile Network ◽  
Analysis Data ◽  
Downlink Scheduling ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Downlink ◽  
The Relationship

This paper considers a Multiple Input Multiple Output (MIMO) downlink scheduling procedure in Long Term Evolution (LTE) cellular networks. In particular, the relationship between Channel Quality Indicator (CQI) and MIMO utilization in LTE Frequency Division Duplex (FDD) systems was examined using the statistical analysis. Data was collected from a mature mobile network deployed in typical frequency bands for LTE FDD used in Europe - Band 3, Band 7 and Band 20. Obtained numerical results showed a significant correlation between reported CQI value and MIMO utilization.

scholarly journals ARREGLO DE ANTENAS CON BAJO ACOPLAMIENTO MUTUO PARA SISTEMAS DE COMUNICACIONES INALÁMBRICAS MIMO-LTE

2017 ◽  
Vol 1 (27) ◽  
Author(s):  
Eduardo Rodríguez Araque ◽  
Roberto G. Rojas-Teran
Keyword(s):  
Printed Circuit Board ◽  
Multiple Input Multiple Output ◽  
Long Term Evolution ◽  
Circuit Board ◽  
Printed Circuit ◽  
Term Evolution ◽  
Multiple Input ◽  
Input Multiple Output

Este trabajo trata de un arreglo de antenas MIMO (multiple-input-multiple-output) que opera en la banda de 2.6 GHz, una banda de Long Term Evolution (LTE), para sistemas de comunicaciones móviles inalámbricas 4G. El arreglo de antenas consiste de 4 antenas compactas tipo patch sobre un substrato dieléctrico (PCB) de 125 mm x 62.5 mm x 1.27 mm. Modificaciones del plano de tierra (GND) junto con la ubicación sistemática y orientación de cada antena en la cara posterior al plano de tierra del PCB (Printed Circuit Board) juegan un rol muy importante en la reducción sustancial del acoplamiento mutuo, esto generalmente afecta el desempeño de los arreglos MIMO.Palabras clave: Arreglo de antenas, modos característicos, correlación espacial, multiple-input-multiple-output (MIMO), acoplamiento mutuo.

scholarly journals A novel method for joint- PAPR mitigation in OFDM-based massive MIMO downlink systems

2018 ◽  
Vol 7 (3) ◽  
pp. 1185 ◽  
Author(s):  
Padarti Vijaya Kumar ◽  
Venkateswara Rao Nandanavanam
Keyword(s):  
Massive Mimo ◽  
High Speed ◽  
Degrees Of Freedom ◽  
Multiple Input Multiple Output ◽  
Average Power ◽  
Data Communication ◽  
Multiple Input ◽  
Input Multiple Output ◽  
High Speed Data ◽  
Mimo Downlink

Massive MIMO has gained much attention with the increase in the high speed data communication. The problem of peak-to-average power ratio (PAPR) is considered, the detrimental aspects in OFDM based massive multiple-input multiple-output (MIMO) downlink systems. The previous works done in reduction of PAPR problem using convex optimization are computationally inefficient. We considered Bayesian approach to mitigate PAPR by utilizing the redundant degrees of freedom (DOF) of the transmit array, which effectively reduced the level of PAPR. The performance or numerical results indicate the applied algorithm achieved a good improvement over the existing techniques in terms of the PAPR reduction.  

scholarly journals Overview of Beyond 4G-LTE Wireless Transmission Technologies

2019 ◽  
Vol 7 (6) ◽  
pp. 74-77
Author(s):  
Ms. Shalini ◽  
Anoop Tiwari
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Multiple Input Multiple Output ◽  
Point Of View ◽  
Wireless Transmission ◽  
Remote Transmission ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Ofdm ◽  
4G Lte

Non-orthogonal multiple access (NOMA) is a promising applicant innovation for 5G cell systems. By and by MIMO-OFDM remote innovations are utilizing in 4G LTE development remote correspondence. This paper examine about the job of MIMO-OFDM and NOMA as principal contributing execution factors in past 4G LTE Remote Transmission Innovation from a specialized point of view. Long Term Evolution (LTE) utilizes Orthogonal Frequency Division Multiplexing (OFDM) along with MIMO (Multiple Input Multiple Output) reception apparatus innovation standard to accomplish high radio spectral efficiency and multicarrier approach for multiple accesses.

scholarly journals Artificial Intelligence Based LTE MIMO Antenna for 5th Generation Mobile Networks

2020 ◽  
Vol 2 (3) ◽  
pp. 155-162
Author(s):  
Dr. Abul Bashar
Keyword(s):  
Artificial Intelligence ◽  
Mobile Networks ◽  
Multiple Input Multiple Output ◽  
Long Term Evolution ◽  
Base Station ◽  
Fifth Generation ◽  
Term Evolution ◽  
Multiple Input ◽  
Input Multiple Output

Artificial intelligence based long term evolution multi in multi output antenna supporting the fifth generation mobile networks is put forth in the paper. The mechanism laid out in paper is devised using the monopole-antenna integrated with the switchable pattern. The long term evolution based multiple input and multiple output antenna is equipped with four antennas and capable of providing a four concurrent data streams quadrupling the theoretical maximum speed of data transfer allowing the base station to convey four diverse signals through four diverse transmit antennas for a single user equipment. The utilization of the long term evolution multiple input multiple output is capable of utilizing the multi-trial broadcasting to offer betterments in the signal performance as well as throughput and spectral efficiency when used along the fifth generation mobile networks. So the paper proposes the artificial intelligence based long term evolution multiple input multiple output four transmit antenna with four diverse signal transmission capacity that is operating in the frequency of 3.501 Gigahertz frequency. The laid out design is evaluated using the Multi-input Multi output signal analyzer to acquire the capacity of the passive conveyance of the various antennas with the diverse combination of patterns. The outcomes observed enables the artificial intelligence antenna to identify the choicest antenna to be integrated in the diverse environments for improving the throughput, signal performance and the data conveyance speed.

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