Results 111 to 120 of about 1,857 (178)

The Deep Learning Evolution in Wireless Physical Layer Communications: Applications, Challenges, and Evolutionary Directions. [PDF]

Sensors (Basel)
Xu H, Liang Y, Xie R, Kong Y.
europepmc   +1 more source

MMU-STCNN-BDQ: a deep reinforcement learning framework for secure and energy-efficient beamforming in 6G mMIMO networks. [PDF]

Sci Rep
Ramudu K, Medasani S, Addepalli T, Sharma M, Pandey A, Srinubabu M.   +5 more
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Multi-Intelligent Reflecting Surfaces and Artificial Noise-Assisted Cell-Free Massive MIMO Against Simultaneous Jamming and Eavesdropping. [PDF]

Sensors (Basel)
Hu H, Xie W, Xu K, Xia X, Li N, Wu H.
europepmc   +1 more source

Semantic Communication Based on Slot Attention for MIMO Transmission in 6G Smart Factories. [PDF]

Sensors (Basel)
Chen N, Lin G, Jian R, Wang Y, Fu M, Wang J, Sun L, Li W, Urakami T, Okada M, Shen B, Wang Q, Yu C, Chen F, Shangguan X.   +14 more
europepmc   +1 more source

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On Equivalence of GSVD-SLNR Precoding and JD-SLNR Precoding

2019
GSVD-SLNR precoding and JD-SLNR precoding are two remarkable linear precoding schemes in downlink MU-MIMO systems. Both of them outperform the original SLNR precoding with considerable gains in terms of bit error rate. However, the relationship of such two schemes has not been investigated yet.
Zuoliang Yin, Zhian Deng
openaire   +1 more source

Circulantly precoded OFDM

2016 IEEE/CIC International Conference on Communications in China (ICCC), 2016
Intercarrier interference (ICI) caused by time variance of wireless channels is one of the critical issues faced in orthogonal frequency division multiplexing (OFDM). Conventionally, correlative precoder has been proposed and widely considered to be effective in ICI self-cancellation. However, correlatively precoded OFDM waveforms entail increased peak-
Yen-Chin Wang, Po-Heng Chou, Char-Dir Chung   +2 more
openaire   +1 more source