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Many wireless communication techniques are commercially available, such as the Wireless LAN, Bluetooth, GSM, GPRS and CDMA.
In many wireless communication systems, channels are assumed to suffer from variations due to fading.
Many wireless communication systems use training data sequences for channel estimation.
Orthogonal frequency division multiple access (OFDMA) is an efficient technology that has been adopted as the core technology for many wireless communication systems.
For example, it has been applied in many wireless communication standards such as IEEE 802.16 e/m and IEEE 802.11 n/ac [1].
Since the Rayleigh model is a reasonable assumption for the fading in many wireless communication systems, it is often supposed that the MIMO channel fading is Rayleigh distributed [6,7].
Similar(51)
The rapid expansion of mobile wireless communications over the last few years has spawned many different wireless communication networks.
Sparse channels exist in many broadband wireless communication systems.
So far, reliability analysis has been intensively studied in many traditional wireless communication networks.
MIMO technology and iterative processing have been incorporated in many modern wireless communication systems.
In this study, we focus on the problem of designing MIMO-OFDM training signals for channel estimation, a critical component in many modern wireless communication systems.
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