A Novel Beamforming Emulating Photonic Nanojets for Wireless Relay Networks

In this article,a low-cost electromagnetic structure emulating photonic nanojets is utilized to improve the efficiency of wireless relay networks.The spectral element method,due to its high accuracy,is used to verify the efficiency of the proposed structure by solving the associate field distribution.The application of optimal single-relay selection method shows that full diversity gain with low complexity can be achieved.In this paper,the proposed technique using smart relays combines the aforementioned two methods to attain the benefits of both methods by achieving the highest coding and diversity gain and enhances the overall network performance in terms of bit error rate(BER).Moreover,we analytically prove the advantage of using the proposed technique.In our simulations,it can be shown that the proposed technique outperforms the best known state-of-the-art single relay selection technique.Furthermore,the BER expressions obtained from the theoretical analysis are perfectly matched to those obtained from the conducted simulations.

Two-Phase Bidirectional Dual-Relay Selection Strategy for Wireless Relay Networks

In this article,we introduce a new bi-directional dual-relay selection strategy with its bit error rate(BER)performance analysis.During the first step of the proposed strategy,two relays out of a set of N relay-nodes are selected in a way to optimize the system performance in terms of BER,based on the suggested algorithm which checks if the selected relays using the maxmin criterion are the best ones.In the second step,the chosen relay-nodes perform an orthogonal space-time coding scheme using the two-phase relaying protocol to establish a bi-directional communication between the communicating terminals,leading to a significant improvement in the achievable coding and diversity gain.To further improve the overall system performance,the selected relay-nodes apply also a digital network coding scheme.Furthermore,this paper discusses the analytical approximation of the BER performance of the proposed strategy,where we prove that the analytical results match almost perfectly the simulated ones.Finally,our simulation results show that the proposed strategy outperforms the current state-of-the-art ones.

Conventional diverting techniques and novel fibr-assisted selfdiverting system in carbonate reservoir acidizing with successful case studies

Conventional diverting techniques may not be useful,and the use of the advanced and well-documented diverting technique is needed to overcome the complexity and heterogeneity of carbonate reservoirs.Nowadays,there have been a lot of materials and techniques utilized for acid diversion.This paper aimed to consider various utilization of fiber-assisted self as the diverting system in acidifying carbonate reservoirs.One of the main reasons for its ability to overcome uncertainty is that the fiber itself is an inherent property,allowing for an automatic diversion adjustment downhole.When a media with infinite permeability,such as a perforation tunnel or natural fracture,is filled and bridged with a material of finite permeability such as degradable fiber,this creates a temporary skin to injectivity in that zone.This is a powerful concept,as it is a way,despite uncertainty from a lack of logging data or uncertainty in the data itself,of dampening the reservoir’s natural permeability contrast.It does not rely on petrophysical certainty to design a successful treatment.

Ergodic capacity of switch-and-examine combining under flat Rayleigh fading channels

Switch-and-examine combining （SEC） is an interesting diversity technique that is simpler than selection combining （SC）, whereas its performances is similar in terms of bit error rate （BER） and diversity order. As ergodic capacity is also a key performance index in modem wireless systems, this article analyzes the ergodic capacity of the SEC system. The numerical results show that the ergodic capacity of SEC with optimal threshold is similar to that of SC for arbitrary number of diversity branches.