scholarly journals Multi-Agent Design for the Physical Layer of a Distributed Base Station Network

10.5772/9482 ◽  
2010 ◽  
Author(s):  
Philippe Leroux ◽  
Sebastien Roy
Keyword(s):  
Physical Layer ◽  
Base Station ◽  
Station Network ◽  
Agent Design ◽  
Multi Agent

scholarly journals Physical layer security transmission scheme based on artificial noise in cooperative SWIPT NOMA system

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yong Jin ◽  
Zhentao Hu ◽  
Dongdong Xie ◽  
Guodong Wu ◽  
Lin Zhou
Keyword(s):  
Interference Cancellation ◽  
Physical Layer Security ◽  
High Energy ◽  
Physical Layer ◽  
Base Station ◽  
Artificial Noise ◽  
Transmitted Power ◽  
Transmission Scheme ◽  
Convex Problem ◽  
Security Problem

AbstractAiming at high energy consumption and information security problem in the simultaneous wireless information and power transfer (SWIPT) multi-user wiretap network, we propose a user-aided cooperative non-orthogonal multiple access (NOMA) physical layer security transmission scheme to minimize base station (BS) transmitted power in this paper. In this scheme, the user near from BS is adopted as a friendly relay to improve performance of user far from BS. An energy harvesting (EH) technology-based SWIPT is employed at the near user to collect energy which can be used at cooperative stage. Since eavesdropper in the downlink of NOMA system may use successive interference cancellation (SIC) technology to obtain the secrecy information of receiver, to tackle this problem, artificial noise (AN) is used at the BS to enhance security performance of secrecy information. Moreover, semidefinite relaxation (SDR) method and successive convex approximation (SCA) technique are combined to solve the above non-convex problem. Simulation results show that in comparison with other methods, our method can effectively reduce the transmitted power of the BS on the constraints of a certain level of the secrecy rates of two users.

scholarly journals Physical-Layer Security Improvement with Reconfigurable Intelligent Surfaces for 6G Wireless Communication Systems

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1439
Author(s):  
Janghyuk Youn ◽  
Woong Son ◽  
Bang Chul Jung
Keyword(s):  
Wireless Communication ◽  
Physical Layer Security ◽  
Communication Systems ◽  
Low Cost ◽  
Physical Layer ◽  
Base Station ◽  
Wireless Communication Systems ◽  
Secrecy Rate ◽  
Pilot Signal ◽  
Time Division

Recently, reconfigurable intelligent surfaces (RISs) have received much interest from both academia and industry due to their flexibility and cost-effectiveness in adjusting the phase and amplitude of wireless signals with low-cost passive reflecting elements. In particular, many RIS-aided techniques have been proposed to improve both data rate and energy efficiency for 6G wireless communication systems. In this paper, we propose a novel RIS-based channel randomization (RCR) technique for improving physical-layer security (PLS) for a time-division duplex (TDD) downlink cellular wire-tap network which consists of a single base station (BS) with multiple antennas, multiple legitimate pieces of user equipment (UE), multiple eavesdroppers (EVEs), and multiple RISs. We assume that only a line-of-sight (LOS) channel exists among the BS, the RISs, and the UE due to propagation characteristics of tera-hertz (THz) spectrum bands that may be used in 6G wireless communication systems. In the proposed technique, each RIS first pseudo-randomly generates multiple reflection matrices and utilizes them for both pilot signal duration (PSD) in uplink and data transmission duration (DTD) in downlink. Then, the BS estimates wireless channels of UE with reflection matrices of all RISs and selects the UE that has the best secrecy rate for each reflection matrix generated. It is shown herein that the proposed technique outperforms the conventional techniques in terms of achievable secrecy rates.

scholarly journals Multi-User Position Based on Trajectories-Aware Handover Strategy for Base Station Selection with Multi-Agent Learning

2020 ◽  
Author(s):  
Michael S. Mollel ◽  
Shubi Kaijage ◽  
Michael Kisangiri ◽  
Muhammad Ali Imran ◽  
Qammer H. Abbasi
Keyword(s):  
Base Station ◽  
Agent Learning ◽  
Multi Agent

Reduction of a two‐gravimeter base network by linear regression

Geophysics ◽  
1985 ◽  
Vol 50 (5) ◽  
pp. 867-869
Author(s):  
C. Patrick Ervin
Keyword(s):  
Linear Regression ◽  
Regression Line ◽  
Field Work ◽  
Base Station ◽  
The Other ◽  
Base Stations ◽  
Simultaneous Operation ◽  
Station Network ◽  
Exploration Environment ◽  
Base Network

In the exploration environment, a primary application of gravity surveying is regional reconnaissance. The first step in such a survey is to establish a base‐station network. Since an error in the network will propagate to many stations in the subsequent survey, careful field work and accurate reduction of these data are particularly critical. Optimally, successive base stations are tied by minimum‐time loops using at least two meters read simultaneously. Using two meters has the obvious advantage of doubling the number of ties with minimal increase in time and cost. Erroneous readings are also much easier to detect and correct with two meters. Furthermore, the simultaneous operation of the meters allows calibrations of the two to be compared by computing a linear regression of the readings of one meter against the corresponding readings of the other. If the meter calibrations are identical, the regression line should have a slope of 1. A significant deviation from 1 indicates a systematic variation in calibration.

Joint Information- and Jamming-Beamforming for Physical Layer Security With Full Duplex Base Station

2014 ◽  
Vol 62 (24) ◽  
pp. 6391-6401 ◽  
Author(s):  
Fengchao Zhu ◽  
Feifei Gao ◽  
Minli Yao ◽  
Hongxing Zou
Keyword(s):  
Physical Layer Security ◽  
Physical Layer ◽  
Base Station ◽  
Full Duplex

Multi agent design and implementation of crowd injury model

2010 ◽  
Author(s):  
Emin Kugu ◽  
Frederic D. McKenzie ◽  
Jiang Li ◽  
Ozgur Koray Sahingoz
Keyword(s):  
Design And Implementation ◽  
Injury Model ◽  
Agent Design ◽  
Multi Agent

Base-station network planning including environmental impact control

2004 ◽  
Vol 151 (3) ◽  
pp. 197 ◽  
Author(s):  
G. Cerri ◽  
R. De Leo ◽  
D. Micheli ◽  
P. Russo
Keyword(s):  
Environmental Impact ◽  
Network Planning ◽  
Base Station ◽  
Station Network

Person Movement and Stay Classification Based on Base Station Network Data

2019 ◽  
Author(s):  
Ke Wang ◽  
Shaoyang Zhang ◽  
Kun Yu ◽  
Ying Li ◽  
Weike Fan ◽  
...  
Keyword(s):  
Base Station ◽  
Network Data ◽  
Station Network
Sign in / Sign up

Export Citation Format

Share Document