Research on Optimality of Beamforming in MIMO Model to Improve SER in Multipath Mobile Transmission Environment
Main Article Content
Abstract
Some papers are researching on how to optimize the beam weighs in generally. They discover beam patterns are related with upper bound of SER and can allocate power to these beams. The environment is used to illustrate these beams are Ricean and Rayleigh distributed. However, in multipath mobile environments, how they are applied in the transmit beams needs to be made clear. This paper concentrates on use of the multipath mobile channel matrix of MIMO to form the beams along with the physical paths at the transmitter. The paper also uses power allocation for these beams on principle of " water filling", the gain of path is better, more transmit power is assigned to the path. The simulation can show the SER is improved if using more beams for more paths and also the optimal power allocation is giving the lower SER compared with the case using equal power allocation to all paths.
Keywords
MIMO, SER, beamforming
Article Details
References
[1] Jingnong Yang “Channel State Information in Multiple Antenna Systems,” Georgia Institute of Technology, 2006.
[2] Urmila Shah, Prof. Hardika Khandelwal, “A Review of Channel Estimation Techniques over MIMO OFDM System,” International Journal of Innovative Research in Computer and Communication Engineering, 2017.
[3] Juei-Chin Shen, Jun Zhang, Kwang-Cheng Chen, and Khaled B. Letaief “High-Dimensional CSI Acquisition in Massive MIMO: Sparsity-Inspired Approaches,” IEEE systems journal, 2017.
[4] Noha Hassan and Xavier Fernando “Review Massive MIMO Wireless Networks: An Overview,” Licensee MDPI, Basel, Switzerland, 2017.
[5] Pragya Vyas,, Shashank Mane “Performance Analysis of MIMO Detection under Imperfect CSI,” International Journal of Innovative Research in Computer and Communication Engineering, 2017.
[6] Alexis Decurninge, Maxime Guillaud “Covariance Estimation with Projected Data: Applications to CSI Covariance Acquisition and Tracking,” 25th European Signal Processing Conference (EUSIPCO), 2017.
[7] S. Zhou and G. B. Giannakis "Optimal transmitter eigen-beamforming and space- time block coding based on channel mean feedback," IEEE Transactions on signal processing, vol .50, no.10, 2002.
[8] S. Zhou and G. B. Giannakis "Optimal transmitter eigen-beamforming and space-time block coding based on channel correlations," IEEE Transactions on information theory, vol.49, no.7, 2003.
[9] E. Visotsky and U. Madhow "Space-time transmit precoding with imperfect feedback," IEEE Transactions on Information Theory, vol: 47, issue. 6, pp. 2632 - 2639, 2001.
[10] G. Jongren, M. Skoglund and B. Ottersten "Combining beamforming and orthogonal space-time block coding." IEEE Transactions on Infor mation Theory, vol.48, issue. 3, pp.611-627, 2002.
[11] S. A. Jafar, S. Vishwanath and A. Goldsmith "Channel capacity and beamforming for multiple transmit and receive antennas with covariance feedback." IEEE International Conference on Communications, vol. 7, pp. 2266-2270, 2001.
[12] Mostafa Hefnawi, “SER Performance of Large Scale OFDM-SDMA Based Cognitive Radio Networks”, International Journal of Antennas and Propagation, Hindawi Publishing Corporation, 2014.
[2] Urmila Shah, Prof. Hardika Khandelwal, “A Review of Channel Estimation Techniques over MIMO OFDM System,” International Journal of Innovative Research in Computer and Communication Engineering, 2017.
[3] Juei-Chin Shen, Jun Zhang, Kwang-Cheng Chen, and Khaled B. Letaief “High-Dimensional CSI Acquisition in Massive MIMO: Sparsity-Inspired Approaches,” IEEE systems journal, 2017.
[4] Noha Hassan and Xavier Fernando “Review Massive MIMO Wireless Networks: An Overview,” Licensee MDPI, Basel, Switzerland, 2017.
[5] Pragya Vyas,, Shashank Mane “Performance Analysis of MIMO Detection under Imperfect CSI,” International Journal of Innovative Research in Computer and Communication Engineering, 2017.
[6] Alexis Decurninge, Maxime Guillaud “Covariance Estimation with Projected Data: Applications to CSI Covariance Acquisition and Tracking,” 25th European Signal Processing Conference (EUSIPCO), 2017.
[7] S. Zhou and G. B. Giannakis "Optimal transmitter eigen-beamforming and space- time block coding based on channel mean feedback," IEEE Transactions on signal processing, vol .50, no.10, 2002.
[8] S. Zhou and G. B. Giannakis "Optimal transmitter eigen-beamforming and space-time block coding based on channel correlations," IEEE Transactions on information theory, vol.49, no.7, 2003.
[9] E. Visotsky and U. Madhow "Space-time transmit precoding with imperfect feedback," IEEE Transactions on Information Theory, vol: 47, issue. 6, pp. 2632 - 2639, 2001.
[10] G. Jongren, M. Skoglund and B. Ottersten "Combining beamforming and orthogonal space-time block coding." IEEE Transactions on Infor mation Theory, vol.48, issue. 3, pp.611-627, 2002.
[11] S. A. Jafar, S. Vishwanath and A. Goldsmith "Channel capacity and beamforming for multiple transmit and receive antennas with covariance feedback." IEEE International Conference on Communications, vol. 7, pp. 2266-2270, 2001.
[12] Mostafa Hefnawi, “SER Performance of Large Scale OFDM-SDMA Based Cognitive Radio Networks”, International Journal of Antennas and Propagation, Hindawi Publishing Corporation, 2014.