Time reversal multiple-input/multiple-output acoustic communication enhanced by parallel interference cancellation

2012 ◽  
Vol 131 (1) ◽  
pp. 281-291 ◽  
Author(s):  
Aijun Song ◽  
Mohsen Badiey
2016 ◽  
Vol 140 (4) ◽  
pp. 3230-3230
Author(s):  
Takuya Shimura ◽  
Yukihiro Kida ◽  
Mitsuyasu Deguchi ◽  
Kohji Meguro ◽  
Yoshitaka Watanabe ◽  
...  

Author(s):  
Ravisankar Malladi ◽  
Manoj Kumar Beuria ◽  
Ravi Shankar ◽  
Sudhansu Sekhar Singh

In modern wireless communication scenarios, non-orthogonal multiple access (NOMA) provides high throughput and spectral efficiency for fifth generation (5G) and beyond 5G systems. Traditional NOMA detectors are based on successive interference cancellation (SIC) techniques at both uplink and downlink NOMA transmissions. However, due to imperfect SIC, these detectors are not suitable for defense applications. In this paper, we investigate the 5G multiple-input multiple-output NOMA deep learning technique for defense applications and proposed a learning approach that investigates the communication system’s channel state information automatically and identifies the initial transmission sequences. With the use of the proposed deep neural network, the optimal solution is provided, and performance is much better than the traditional SIC-based NOMA detectors. Through simulations, the analytical outcomes are verified.


Author(s):  
Layak Ali Sd ◽  
K. Kishan Rao ◽  
M. Sushanth Bab

In this papers an efficient ordering scheme for an ordered successive interference cancellation detector is determined under the bit error rate minimization criterion for multiple-input multiple-output(MIMO) communication systems using transmission power control. From the convexity of the Q-function, we evaluate the choice of suitable quantization characteristics for both the decoder messages and the received samples in Low Density Parity Check (LDPC)-coded systems using M-QAM schemes. We derive the ordering strategy that makes the channel gains converge to their geometric mean. Based on this approach, the fixed ordering algorithm is first designed, for which the geometric mean is used for a constant threshold using correlation among ordering results.


2017 ◽  
Vol 1 (3) ◽  
pp. 72
Author(s):  
Tu Bui-Thi-Minh ◽  
Xung Le ◽  
Vien Nguyen-Duy-Nhat

In this paper, we focus on the precoding design for sum rate maximization while considering the effects of residual SI for point – to-point multiple input/multiple output (MIMO) Full-Duplex systems. The MMSE-based beamforming algorithm was proposed to cancel the SI. The results shown that, the self-interference cancellation is done by matrix precoding at the transmitter if the total number of transmitting antenna of two nodes is greater than the number of receiving antenna of one node. The Bit Error Rate (BER) was also evaluated in the simulation.


2006 ◽  
Vol 31 (1) ◽  
pp. 170-178 ◽  
Author(s):  
H.C. Song ◽  
P. Roux ◽  
W.S. Hodgkiss ◽  
W.A. Kuperman ◽  
T. Akal ◽  
...  

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