Effective Power Allocation Using for Transmit Source In MIMO Relay Communication



Abstract Views
86

Downloads
97

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Jun 9, 2021
Published Jun 30, 2021
10.24018/ejece.2021.5.3.335

Abstract viewed = 86 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

The Multiple Input Multiple Output (MIMO) systems using relays are of interest for high-speed radio communication systems. Currently, most of the articles are interested in the model of three nodes with purposes such as increasing the channel capacities (mutual information) or reducing the minimum mean square of error. This paper extends to more than one relay and is concerned with the maximum channel capacity. It is assumed that the channel matrices between source and relay as well as relay and receiver are random matrices; the relay precoders are also assumed to be random and known at the receiver. The article proposes that the Lagrange multiplier finding algorithm using the Newton – Raphson optimization method is more straightforward than the traditional finding algorithm using the first and second derivatives but still gives a higher channel capacity.

Keywords: Channel capacity, Lagrangian operator, MIMO, relay

Downloads

Download data is not yet available.

References

  1. Chin-Liang Wang, Jyun-Yu Chen, Jhih-Jhong Jheng, ?A precoder design for two-way amplify-and-forward MIMO relay systems with linear receivers?, IEEE 80th Vehicular Technology Conference (VTC2014-Fall), Jan. 2014.
     Google Scholar
  2. Ronghong Mo, Yong Huat Chew, and Chau Yuen, Senior, ?Information rate and relay precoder design for amplify-and-forward MIMO relay networks with imperfect channel state information?, IEEE Transactions On Vehicular Technology, Vol. 61, no. 9, Nov. 2012.
     Google Scholar
  3. Lisi Jiang, Hamid Jafarkhani, ?MmWave Amplify-and-Forward MIMO Relay Networks with Hybrid Precoding/Combining Design?, IEEE Transactions on Wireless Communications, Vol. 19, issue. 2, pp. 1333- 1346, Feb. 2020.
     Google Scholar
  4. Yang Zhang, Jiandong Li, Lihua Pang and Zhi Ding, ?Joint optimization of source and relay precoding in non?regenerative MIMO relay systems?, Wirel. Commun. Mob. Comput., 2012.
     Google Scholar
  5. Fabien H?liot and Rahim Tafazolli, ?Optimal Energy-Efficient Source and Relay Precoder Design for Cooperative MIMO-AF Systems?, IEEE Transactions on Signal Processing, Vol. 66, issue. 3, pp. 573-588, Feb. 2018.
     Google Scholar
  6. Rongbin Zhang, Shu-Hung Leung , Zhen Luo, and Hong Wan, ?Precoding Design for Correlated MIMO-AF Relay Networks With Statistical Channel State Information?, IEEE Transactions on Signal Processing, Vol. 66, No. 22, Nov 2018.
     Google Scholar
  7. Ronghong Mo, and Yong Huat Chew, ?Precoder Design for Non-Regenerative MIMO Relay Systems?, IEEE Transactions on Wireless Communications, Vol. 8, no. 10, pp. 5041-5049, Oct 2009.
     Google Scholar
  8. Urmila Diwekar, Introduction To Applied Optimization, 2nd ed., Springer Science+Business Media, LLC, 2008.S. Chen, B. Mulgrew, and P. M. Grant, ?A clustering technique for digital communications channel equalization using radial basis function networks,? IEEE Trans. on Neural Networks, vol. 4, pp. 570-578, July 1993.
     Google Scholar