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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chenxin Zhang Prabhu, H. Liang Liu Edfors, O. Owall, V. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electr. & Inf. Technol., Lund Univ., Lund, Sweden (Chenxin Zhang; Prabhu, H.; Liang Liu; Edfors, O.; Owall, V.) |
| Abstract | This paper presents an energy-efficient sorted QR-decomposition (SQRD) processor for 3GPP LTE-Advanced (LTE-A) systems. The processor adopts a hybrid decomposition scheme to reduce computational complexity and provides a wide-range of performance-complexity trade-offs. Based on the energy distribution of spatial channels, it switches between the brute-force SQRD and a low-complexity group-sort QR-update strategy, which is proposed in this work to effectively utilize the LTE-A pilot pattern. As a proof of concept, a run-time reconfigurable vector processor is developed to efficiently implement this adaptive-switching QR decomposition algorithm. In a 65 nm CMOS technology, the proposed SQRD processor occupies $0.71mm^{2}$ core area and has a throughput of up to 100MQRD/s. Compared to the brute-force approach, an energy reduction of 5 ~ 33% is achieved. |
| Sponsorship | IEEE Circuits Syst. Soc. |
| Starting Page | 193 |
| Ending Page | 196 |
| File Size | 872186 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479934324 |
| DOI | 10.1109/ISCAS.2014.6865098 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-01 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Complexity theory Vectors Sorting MIMO Antennas Ports (Computers) Vector processors |
| Content Type | Text |
| Resource Type | Article |
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