Sentence examples for mobile communication channels from inspiring English sources

In the previous simulation, the mobility effect is studied on the audio signal transmission in a fixed and mobile communication channels in many of scenarios.

Major limitations and vulnerabilities are: lack of technology inter-operability between rescuers' equipment that belongs to different jurisdictions (e.g., police, fire department, army), infrastructure-based operation of the current technologies used (e.g., TETRA [5]) whose parts can be destroyed during a disaster, and the severe overloading of several mobile communication channels (e.g., 3G).

Sub-cell global system for mobile communications or GSM positioning is a prime example employs this approach, which leverages the mobile communication channel beacon.

The mobile communication diagonal channel matrix is given by [17], Equation (32) H N = I N / 2 ⊗ J 2, (70).

Therefore, the mobile wireless communication channel is generally characterized as time- and frequency selective channel or the so-called doubly selective, which in turns causes degradation in the system performance.

Due to the time-varying nature of a mobile wireless communication channel and energy losses caused by absorption and scattering, the total power in the received signal is also time-variant.

A mobile communication system transmission channel is characterized by multipath and fading.

In a mobile communication system, the radio channels introduce randomness to the signal at the receiver as a result of the presence of two types of fading, which have been classified as large-scale fading and small-scale fading.

The proposed high-speed rail mobile communication systems can obtain channel awareness simply by looking up the dedicated REM for railway, instead of running complicated channel estimation algorithms.

In mobile communication, since the radio channel is modelled by some dominant spare paths and is represented by path taps, the channel estimation is to estimate and track the channel taps adaptively and efficiently.

To evaluate the performance of a cognitive high-speed rail broadband mobile communication system, dynamically changing channel conditions, including both LOS and non-LOS (NLOS) scenarios, need to be simulated.