An Optimal Receive Antenna Selection Algorithm using GA in MIMO Communication System

MIMO technology offers large improvements in data transfer and connection range no bandwidth extra or processing potential in wireless communication,. Multiple transmitters and receivers are used to simultaneously transfer enormous amounts of data. Using many antennas transmitting and receiving, efficiency can be enhanced for wireless communication systems operating in fading environments. But the key downside in the new MIMO scheme, due to multiple Radio Frequency chains, is increased complexity and high cost. A daunting incentive is the development of techniques to reduce hardware and computing costs of the systems with a huge amount of antennas. The optimum selection of the receiver antenna subset is a very effective approach to achieving this goal. Genetic algorithm is used in this paper to choose the receivers from the available set of antennas that would then be compared with an existing receiving antenna selection process.

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Research of the Channel Estimation in Wireless Communication Systems

ITM Web of Conferences ◽

10.1051/itmconf/20192501002 ◽

2019 ◽

Vol 25 ◽

pp. 01002 ◽

Cited By ~ 1

Author(s):

Lili Zhao ◽

Peng Zhang ◽

Qicai Dong ◽

Xiangyang Huang ◽

Jianhua Zhao ◽

...

Keyword(s):

Wireless Communication ◽

Channel Estimation ◽

Communication Technology ◽

Communication Systems ◽

Communication Channel ◽

Data Transfer ◽

Estimation Methods ◽

Wireless Communication Systems ◽

Data Transfer Rate

Wireless communication technology has been developed rapidly after entering the 21st century. Data transfer rate increased significantly as well as the bandwidth became wider and wider from 2G to 4G in wireless communication systems. Channel estimation is an import part of any communication systems; its accuracy determines the quality of the whole communication. Channel estimation methods of typical wireless communication systems such as UWB, 2G and 3G have been researched.

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Effect of controlling maximum-SNR-based relay selection strategy in cooperative wireless communication systems

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v22.i1.pp335-341 ◽

2021 ◽

Vol 22 (1) ◽

pp. 335

Author(s):

Essam Saleh Altubaishi

Keyword(s):

Wireless Communication ◽

Spectral Efficiency ◽

Communication Systems ◽

Relay Selection ◽

Signal To Noise Ratio ◽

Adaptive Modulation ◽

Selection Criterion ◽

Selection Strategy ◽

Wireless Communication Systems ◽

Selection Of

<span>Relay selection strategy under maximum-signal-to-noise ratio (MAX-SNR) criterion was proven to maximize performance but at the expense of losing fairness among the cooperative relays. In this work, the effect of controlling the MAX-SNR criterion on the spectral efficiency of cooperative wireless communication system with adaptive modulation is investigated. Specifically, the probability density function (PDF) of the end-to-end SNR for the considered system is derived when the controlled selection criterion is considered. Base on that PDF, the average spectral efficiency is then derived and investigated. The results show how the spectral efficiency of the system deteriorates as controlling the selection of a relay. Furthermore, the results of Monte Carlo simulation validate the derived expression.</span>

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APPLICATION OF MIMO TECHNOLOGY IN MODERN WIRELESS COMMUNICATION SYSTEMS OF DIFFERENT GENERATIONS

T-Comm ◽

10.36724/2072-8735-2021-15-4-4-12 ◽

2021 ◽

Vol 15 (4) ◽

pp. 4-12

Author(s):

Mikhail G. Bakulin ◽

◽

Vitaly B. Kreyndelin ◽

Denis Y. Pankratov ◽

◽

...

Keyword(s):

Wireless Communication ◽

Communication Systems ◽

Technology Development ◽

Multiple Input Multiple Output ◽

Spatial Multiplexing ◽

Wireless Communication Systems ◽

Radio Communication ◽

Radio Access ◽

Radio Frequency Spectrum ◽

Mimo Technology

Multiple Input Multiple Output (MIMO) technology is widely used in modern IEEE radio access systems. There is a tendency to increase the number of antennas, which is also confirmed by the development of MIMO technology in mobile communication systems of 3GPP standards. Requirements for modern radio communication systems are constantly increasing. As the radio frequency spectrum becomes increasingly scarce, it becomes increasingly difficult to transmit large amounts of information by expanding the frequency channel bandwidth. Therefore, the use of MIMO technology to increase the spectral and energy efficiency of communication systems is relevant. In 5G systems, Massive MIMO technology is used, when using which the number of antennas is measured in tens and hundreds. The characteristics of various versions of MIMO technology implemented in the existing standards 802.11n, 802.11ac, 802.11ax, as well as in the promising standard 802.11be (6G systems) are described in detail. Technologies of directional transmission, spatial multiplexing, selection of antennas as particular cases of precoding are considered. Trends of MIMO technology development in wireless communication systems are shown.

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