| dc.description.abstract | In future services of digital home, transmission of high-quality audio and video data to multiple users is a necessity. Multi-user MIMO precoding schemes that utilize the feedback of the channel state information to reduce either the receiver complexity or to enhance the system performance become attractive. Thus, consumers can have the benefits of low cost, small area, low power but high quality in the receiver. Due to the fact that the next-generation wireless systems such as 802.11ac, WiMax, and 3GPP LTE-Advanced all support 8×8 MIMO configuration, we aim to offer the design, in algorithm and architecture, for 8 antennas.
In this thesis, we propose a reduced-complexity multi-user MIMO precoding algorithm including sorted-QR decomposition, block-based power allocation, and THP algorithm. The proposed scheme outperforms other MU-MIMO precoding schemes when the system supposts more users. The sorted QRD and proposed power allocation are effective to improve the BER performance. In addition, our proposed power allocation further reduces complexity and has only slight BER degradation. Finally, the THP algorithm is adopted to cancel the interference in advance at transmitter.
As to the hardware implementation, we propose a scalable design of high throughput 8×8 Sorted QRD. It can compute three sets of 4×4 Sorted QRD simultaneously. Various numbers of sorting layers are supported. The Givens Rotation algorithm of the QRD is adopted for its merit in pipelining with the CORDIC operation. Finally, a hardware-efficient design with good AT product is shown.
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