Effect of intercell interference on cell boundary users in three-cell and seven-cell HetCN

2019 ◽  
Vol 33 (5) ◽  
pp. e4257
Author(s):  
Janmoni Borah ◽  
Anwar Hussain ◽  
Joyatri Bora
Keyword(s):  
Cell Boundary ◽  
Intercell Interference

scholarly journals Adaptive Bit Partitioning for Multicell Intercell Interference Nulling With Delayed Limited Feedback

2011 ◽  
Vol 59 (8) ◽  
pp. 3824-3836 ◽  
Author(s):  
Ramya Bhagavatula ◽  
Robert W. Heath
Keyword(s):  
Limited Feedback ◽  
Intercell Interference

Pressure cell-boundary relation, Fermi levels and surface dipoles for transition metals

1976 ◽  
Vol 6 (4) ◽  
pp. 573-585 ◽  
Author(s):  
R M Nieminen ◽  
C H Hodges
Keyword(s):  
Transition Metals ◽  
Cell Boundary ◽  
Pressure Cell ◽  
Boundary Relation

scholarly journals Once upon a time the cell membranes: 175 years of cell boundary research

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
Jonathan Lombard
Keyword(s):  
Cell Membranes ◽  
Cell Boundary

Capacity-Achieving Codes That Mitigate Intercell Interference and Charge Leakage in Flash Memories

2019 ◽  
Vol 65 (6) ◽  
pp. 3702-3712 ◽  
Author(s):  
Yeow Meng Chee ◽  
Johan Chrisnata ◽  
Han Mao Kiah ◽  
San Ling ◽  
Tuan Thanh Nguyen ◽  
...  
Keyword(s):  
Flash Memories ◽  
Intercell Interference

Comparative Analysis of Intercell Interference Mitigation Techniques in LTE-A Network

2017 ◽  
Vol 99 (3) ◽  
pp. 1159-1168 ◽  
Author(s):  
Muhammad Umair Ghori ◽  
Bushra Naeem ◽  
Faizullah Khan Kakar
Keyword(s):  
Comparative Analysis ◽  
Interference Mitigation ◽  
Intercell Interference ◽  
Mitigation Techniques

scholarly journals Contraction and elongation: Mechanics underlying cell boundary deformations in epithelial tissue

2017 ◽  
Vol 59 (5) ◽  
pp. 340-350 ◽  
Author(s):  
Yusuke Hara
Keyword(s):  
Cell Boundary ◽  
Epithelial Tissue

scholarly journals Reply to Ríos: Cell Boundary Theorem and Ca2+Fluxes in Skeletal Muscle

2010 ◽  
Vol 285 (34) ◽  
pp. le14-le14 ◽  
Author(s):  
Jose M. Eltit ◽  
Claudio Perez ◽  
Isaac N. Pessah ◽  
Paul D. Allen ◽  
J. Rafael Lopez
Keyword(s):  
Skeletal Muscle ◽  
Cell Boundary

scholarly journals Cell boundary element methods for elliptic problems

2007 ◽  
Vol 36 (4) ◽  
pp. 669-685
Author(s):  
Youngmok JEON ◽  
Eun-Jae PARK
Keyword(s):  
Boundary Element ◽  
Elliptic Problems ◽  
Boundary Element Methods ◽  
Cell Boundary

scholarly journals Linear traveltime perturbation interpolation: a novel method to compute 3-D traveltimes

2015 ◽  
Vol 203 (1) ◽  
pp. 548-552 ◽  
Author(s):  
Jianzhong Zhang ◽  
Junjie Shi ◽  
Lin-Ping Song ◽  
Hua-wei Zhou
Keyword(s):  
Seismic Waves ◽  
Homogeneous Medium ◽  
Cell Boundary ◽  
Routine Method ◽  
Bilinear Interpolation ◽  
Linear Distribution ◽  
Heterogeneous Model ◽  
Computational Errors ◽  
Novel Method ◽  
The Difference

Abstract The linear traveltime interpolation has been a routine method to compute first arrivals of seismic waves and trace rays in complex media. The method assumes that traveltimes follow a linear distribution on each boundary of cells. The linearity assumption of traveltimes facilitates the numerical implementation but its violation may result in large computational errors. In this paper, we propose a new way to mitigate the potential shortcoming hidden in the linear traveltime interpolation. We use the vertex traveltimes in a calculated cell to introduce an equivalent homogeneous medium that is specific to the cell boundary from a source. Therefore, we can decompose the traveltime at a point on the cell boundary into two parts: (1) a reference traveltime propagating in the equivalent homogeneous medium and (2) a perturbation traveltime that is defined as the difference between the original and reference traveltimes. We now treat that the traveltime perturbation is linear along each boundary of cells instead of the traveltime. With the new assumption, we carry out the bilinear interpolation over traveltime perturbation to complete traveltime computation in a 3-D heterogeneous model. The numerical experiments show that the new method, the linear traveltime perturbation interpolation, is able to achieve much higher accuracy than that based on the linear traveltime interpolation.

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