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Adaptive Beamforming for Next Generation Cellular System

Andersson, Sebastian LU and Tidelund, William (2016) EITM01 20161
Department of Electrical and Information Technology
Abstract
In this work aMatlab model of a simplified LTE system has been implemented. The PUSCH and PDSCH signal chains has been used for reception and transmission of data and DM-RS symbols are used as pilots. Moreover, the model supports communication and interference between multiple users and base station antennas. The wireless channels are modeled as multi-path Rayleigh fading and are continuous in time such that multiple frames can be transmitted on a correlated channel. Three standardized multi-path delay profiles have been used for modeling users in pedestrian, vehicular and urban environments. Three beamforming algorithms have been implemented, maximumratio transmission, zero-forcing and regularized zeroforcing. This model is an extension... (More)
In this work aMatlab model of a simplified LTE system has been implemented. The PUSCH and PDSCH signal chains has been used for reception and transmission of data and DM-RS symbols are used as pilots. Moreover, the model supports communication and interference between multiple users and base station antennas. The wireless channels are modeled as multi-path Rayleigh fading and are continuous in time such that multiple frames can be transmitted on a correlated channel. Three standardized multi-path delay profiles have been used for modeling users in pedestrian, vehicular and urban environments. Three beamforming algorithms have been implemented, maximumratio transmission, zero-forcing and regularized zeroforcing. This model is an extension to the current standard of LTE in the sense that the parameters of the model are scalable beyond what is currently in the standard. The different algorithms are compared in many different scenarios, including different modulation levels, delay profiles, number of user sharing the same resources, number of base station antennas, multi-layer transmissions and complexity. Maximumratio
transmission is shown to be computationally less complex, while the zero-forcing algorithms are better at removing inter-user interference, especially as the number of users sharing the same resources grows for a constant number of base station antennas. Regularized zero-forcing is shown to outperform the other algorithms when looking at the entire SNR range. (Less)
Popular Abstract
This article is based on the master’s thesis “Adaptive Beamforming for Next
Generaton Cellular System”. The idea of multiple smart antennas that cooperate to improve network performance has been known for a while. This idea is to be realized and applied in the next generation of telecommunications systems as it will be a part of the 5G network. In this work, a scalable simulation tool using parts from the current 4G/LTE network has been built for the purpose of comparing beamforming algorithms.
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author
Andersson, Sebastian LU and Tidelund, William
supervisor
organization
course
EITM01 20161
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Adaptive, Beamforming, Precoding, 5G, Zero Forcing, MRT, Maximum Ratio Transmission, LTE, Wireless Communication
report number
LU/LHT-EIT 2016-546
language
English
id
8893069
date added to LUP
2016-10-12 15:46:13
date last changed
2016-10-25 09:23:05
@misc{8893069,
  abstract     = {In this work aMatlab model of a simplified LTE system has been implemented. The PUSCH and PDSCH signal chains has been used for reception and transmission of data and DM-RS symbols are used as pilots. Moreover, the model supports communication and interference between multiple users and base station antennas. The wireless channels are modeled as multi-path Rayleigh fading and are continuous in time such that multiple frames can be transmitted on a correlated channel. Three standardized multi-path delay profiles have been used for modeling users in pedestrian, vehicular and urban environments. Three beamforming algorithms have been implemented, maximumratio transmission, zero-forcing and regularized zeroforcing. This model is an extension to the current standard of LTE in the sense that the parameters of the model are scalable beyond what is currently in the standard. The different algorithms are compared in many different scenarios, including different modulation levels, delay profiles, number of user sharing the same resources, number of base station antennas, multi-layer transmissions and complexity. Maximumratio
transmission is shown to be computationally less complex, while the zero-forcing algorithms are better at removing inter-user interference, especially as the number of users sharing the same resources grows for a constant number of base station antennas. Regularized zero-forcing is shown to outperform the other algorithms when looking at the entire SNR range.},
  author       = {Andersson, Sebastian and Tidelund, William},
  keyword      = {Adaptive,Beamforming,Precoding,5G,Zero Forcing,MRT,Maximum Ratio Transmission,LTE,Wireless Communication},
  language     = {eng},
  note         = {Student Paper},
  title        = {Adaptive Beamforming for Next Generation Cellular System},
  year         = {2016},
}