Deep Learning-Based Signal Modulation Identification in OFDM Systems

Deep learning-based CAD systems for mammography: A review article

Breast cancer is one of the most common types of cancer in women. Screening mammography is a low‑dose X‑ray examination of breasts, which is conducted to detect breast cancer at early stages when the cancerous tumor is too small to be felt as a lump. Screening mammography is conducted for women with no symptoms of breast cancer, for early detection of cancer when the cancer is most treatable an...

Adaptive Modulation for OFDM Systems

The goal for the fourth generation (4G) of mobile communications system is to seamlessly integrate a wide variety of communication services such as high speed data, video and multimedia traffic as well as voice signals. One of the promising approaches to 4G is adaptive OFDM (AOFDM). In AOFDM, adaptive transmission scheme is employed according to channel fading condition with OFDM to improve the...

Blind channel identification and equalization in OFDM-based multiantenna systems

Wireless systems employing multiple antennas at the transmitter and the receiver have recently been shown to have the potential of achieving extraordinary bit rates. Orthogonal frequency division multiplexing (OFDM) significantly reduces receiver complexity in multiantenna broadband systems. In this paper, we introduce an algorithm for blind channel identification and equalization in OFDM-based...

Blind Identification of MIMO Systems: Signal Modulation and Channel Estimation

Optimized Modulation Modes for Adaptive OFDM systems

We propose the reduced modulation modes for bit and power allocation algorithms, which are used in multi-carrier transmissions. When the rectangular QAMs are available at a transmitter, they can be restricted to the square QAMs without any performance degradation so that the computational load and the hardware complexity can be reduced. To show that this restriction is possible, the power alloc...