Millimeter Wave Wireless Hadamard Image Transmission for MIMO Enabled 5G and Beyond
Lu Ou, Shaolin Liao, Zheng Qin, Hui Yin
Abstract
The high-speed millimeter wave Wireless Hadamard image transmission technique is studied for the next-generation 5G wireless network and beyond. Cyclic Hadamard transform has been applied to the image, followed by the Hadamard transform sub-sampling for image compression. For regularly sub-sampled Hadamard transform, the Fourier spectrum method can be used to reconstruct the image when it is transmitted to the receiver. For the randomly sub-sampled Hadamard transform, the Compressed Sensing method can be used. The Wireless Hadamard image transmission is compatible with the Multiple Inputs Multiple Outputs technique in mmWave 5G wireless networks. Both software and hardware implementations of the Wireless Hadamard image transmission can be realized through the massive MIMO antenna array. A 94-GHz hardware prototype has been built and tested to demonstrate the performance of the Wireless Hadamard image transmission. It has been shown that image reconstruction has been realized with a hardware sub-sampling ratio of 18 without image loss for digit “1” at a pixel-equiva-lent power SNR of 15 dB, meaning more than an order of magnitude increase in image transmission speed. Furthermore, the upcoming 6G wireless network boasts an even larger antenna array, which allows more image pixels per Hadamard transform frame, making the proposed mmWave Wireless Hadamard image transmission technique work even faster.