Yu and Guan [28, 29] studied key predistribution schemes using deployment knowledge and compared the effect of deployment on triangular, hexagonal, and square grids.
Deployment using natural Earth perturbations to indirectly achieve plane separations is analysed using a developed method and compared to deployment utilising the Earth Moon Lagrange point L1 as a staging area prior to return to LEO.
The aim of these experiments is to train the best SI DNN for deployment and we compare two approaches to obtaining a single-pass, SI system with a fixed DNN acoustic model size.
The existence of a generic service layer spanning a set of heterogeneous networks (fixed and wireless) promises several advantages for greater flexibility and efficiency in service development and deployment, compared to those obtainable with network-specific service creation practice.
To exploit the benefits of MNs, based on the availability of channel state information (CSI) and multi-antenna deployments, we then apply and compare various inter-cell interference coordination (ICIC) and interference cancellation schemes to alleviate the impact of inter-cell interference on MNs.
Two commercially available stents (the NIR and Multi-Link stents) are modeled and their behavior during the deployment is compared in terms of stress distribution, radial gain, outer diameter changes and foreshortening.
In this paper, we propose two types of LED deployment strategies — centralized and distributed and compare their performances on the basis of average outage area ratio, effect of semi-angle, root mean square delay and data transmission rate.
The configurations are the ones from [ 17], in which a traditional network deployment (with maximal-power Equivalent Isotropically Radiated Powers (EIRPs)) and an exposure-optimized network deployment are compared based on only their electric-field strength distributions and based on a worst-case scenario with a duty cycle of 100%.
Under the assumption of an LOS BS-RS and RS-MS link and NLOS BS-MS and interfering links the saturated throughput of the relay deployment is 25% higher in the relay deployment compared to the same deployment without relays.
