scholarly journals Iterative reweighted least squares interference alignment approach for multicell MIMO networks

2015 ◽  
Vol 4 (1) ◽  
pp. 1-7
Author(s):  
Mohamed Rihan ◽  
Maha Elsabrouty ◽  
Osamu Muta ◽  
Hiroshi Furukawa
Keyword(s):  
Least Squares ◽  
Interference Alignment ◽  
Mimo Networks ◽  
Multicell Mimo ◽  
Iterative Reweighted Least Squares

scholarly journals Iterative Reweighted Least Squares approach to interference alignment

2013 ◽  
Author(s):  
Mohamed Rihan ◽  
Maha Elsabrouty ◽  
Said Elnouby ◽  
Hossam Shalaby ◽  
Osamu Muta ◽  
...  
Keyword(s):  
Least Squares ◽  
Interference Alignment ◽  
Iterative Reweighted Least Squares ◽  
Least Squares Approach

Prestack imaging of seismic data using Lp iterative reweighted least-squares wavefield extrapolation filters in the frequency-space domain

Geophysics ◽  
2018 ◽  
Vol 83 (4) ◽  
pp. V243-V252
Author(s):  
Wail A. Mousa
Keyword(s):  
Least Squares ◽  
Seismic Data ◽  
Least Squares Method ◽  
Filter Design ◽  
Finite Impulse Response ◽  
Weighted Least Squares ◽  
Data Set ◽  
Frequency Space ◽  
Wavefield Extrapolation ◽  
Iterative Reweighted Least Squares

A stable explicit depth wavefield extrapolation is obtained using [Formula: see text] iterative reweighted least-squares (IRLS) frequency-space ([Formula: see text]-[Formula: see text]) finite-impulse response digital filters. The problem of designing such filters to obtain stable images of challenging seismic data is formulated as an [Formula: see text] IRLS minimization. Prestack depth imaging of the challenging Marmousi model data set was then performed using the explicit depth wavefield extrapolation with the proposed [Formula: see text] IRLS-based algorithm. Considering the extrapolation filter design accuracy, the [Formula: see text] IRLS minimization method resulted in an image with higher quality when compared with the weighted least-squares method. The method can, therefore, be used to design high-accuracy extrapolation filters.

scholarly journals Interference Alignment Inspired Opportunistic Communications in Multi-Cluster MIMO Networks with Wireless Power Transfer

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 335
Author(s):  
Yuan Ren ◽  
Xuewei Zhang ◽  
Meruyert Makhanbet
Keyword(s):  
High Efficiency ◽  
Wireless Power Transfer ◽  
Interference Alignment ◽  
Power Transfer ◽  
Wireless Power ◽  
Transceiver Design ◽  
Mimo Networks ◽  
Radio Frequency Signals ◽  
Wireless Environments ◽  
Effective Signal

In this work, we jointly investigate the issues of node scheduling and transceiver design in a sensor network with multiple clusters, which is endowed with simultaneous wireless information and power transfer. In each cluster of the observed network, S out of N nodes are picked, each of which is capable of performing information transmission (IT) via uplink communications. As for the remaining idle nodes, they can harvest energy from radio-frequency signals around their ambient wireless environments. Aiming to boost the intra-cluster performance, we advocate an interference alignment enabled opportunistic communication (IAOC) scheme. This scheme can yield better tradeoffs between IT and wireless power transfer (WPT). With the aid of IAOC scheme, the signal projected onto the direction of the receive combining vector is adopted as the accurate measurement of effective signal strength, and then the high-efficiency scheduling metric for each node can be accordingly obtained. Additionally, an algorithm, based on alternative optimization and dedicated for transceiver design, is also put forward, which is able to promote the achievable sum rate performance as well as the total harvested power. Our simulation results verify the effectiveness of the designed IAOC scheme in terms of improving the performance of IT and WPT in multi-cluster scenarios.

An Analytical Model for Interference Alignment in Multi-Hop MIMO Networks

2016 ◽  
Vol 15 (1) ◽  
pp. 17-31 ◽  
Author(s):  
Huacheng Zeng ◽  
Yi Shi ◽  
Y. Thomas Hou ◽  
Wenjing Lou ◽  
Sastry Kompella ◽  
...  
Keyword(s):  
Analytical Model ◽  
Interference Alignment ◽  
Mimo Networks
Sign in / Sign up

Export Citation Format

Share Document