Trends in the modern world increasingly lead to the growing popularity of
wireless technologies. This is possible due to the rapid development of
mobile communications, the Internet gaining high popularity, using wireless
networks at enterprises, offices, buildings, etc. It requires advanced
network technologies with high throughput capacity to meet the needs of
users. To date, a popular destination is the development of spatial signal
processing techniques allowing to increase spatial bandwidth of communication
channels. The most popular method is spatial coding MIMO to increase data
transmission speed which is carried out due to several spatial streams
emitted by several antennas. Another advantage of this technology is the
bandwidth increase to be achieved without expanding the specified frequency
range. Spatial coding methods are even more attractive due to a limited
frequency resource. Currently, there is an increasing use of wireless
communications (for example, WiFi and WiMAX) in information transmission
networks. One of the main problems of evolving wireless systems is the need
to increase bandwidth and improve the quality of service (reducing the error
probability). Bandwidth can be increased by expanding the bandwidth or
increasing the radiated power. Nevertheless, the application of these methods
has some drawbacks, due to the requirements of biological protection and
electromagnetic compatibility, the increase of power and the expansion of the
frequency band is limited. This problem is especially relevant in mobile
(cellular) communication systems and wireless networks operating in difficult
signal propagation conditions. One of the most effective ways to solve this
problem is to use adaptive antenna arrays with weakly correlated antenna
elements. Communication systems using such antennas are called MIMO systems
(Multiple Input Multiple Output multiple input - multiple outputs). At the
moment, existing MIMO-idea implementations do not always noticeably
accelerate traffic at short distances from the access point, but, they are
very effective at long distances. The MIMO principle allows reducing the
number of errors in radio data interchange (BER) without reducing the
transmission rate under conditions of multiple signal re-reflections. The
work aims at developing an adaptive space-time signal algorithm for a
wireless data transmission system designed to improve the efficiency of this
system, as well as to study the efficiency of the algorithm to minimizing the
error bit probability and maximizing the channel capacity.
Optimal Data Transmission and Channel Code Rate Allocation in Multi-Path Wireless Networks
