Wireless Communications Systems Techniques Have Provided Quality Network Traffic Effectiveness
During the 70s, the biggest problem encountered in wireless communications had to do with mitigating and completely eliminating the distortion of signals received by individual antennas. This distortion, caused by a frequency-selective and time-varying transmission path, resulted in the disappearance of the signal in some areas while in others, heavy attenuation was observed.
When signals follow a path near the ground, interference with nearby obstacles prevents them from propagating along a specific radio path. The reflected waves from objects greatly add to this distortion. A person in a vehicle that is in motion will experience a effect where the received signal changes quickly over time. Another form of distortion is where waveforms being transmitted change in shape as a result of the delay of remote reflections.
Over the years, better signal transmitting techniques have been developed and have succeeded in greatly mitigating the above problems. Through digital signal processing (DSP), problems of multipath fading are now not as common.
In the last decade, the design of wireless communications systems and networks has shifted focus away from optimizing the capacity and capability of certain individual links. Rather, the emphasis now is on multi-user networks. Unlike military systems, decisive interference now is rarely as a result of any external issues but is sourced from within the network by the network users themselves.
The result of this has been mostly positive. Users are working together to cater for their common interest, creating and maintaining the best wireless communication practices and protocols. Each user strives to stick to these standards for the common good of the whole network. The field of wireless systems engineering has now diversified into creating systems that fit into an environment of multiple users. Individual gain has been left behind for the common pursuit of common goals such as spectrum efficiency, optimal network traffic capacity and cost effectiveness of setting up and maintaining the network.
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