Dynamically reconfigurable soft output MIMO detector

Dynamically reconfigurable soft output MIMO detector
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动态可重构软输出 MIMO 检测器

DOI:
10.1109/iccd.2008.4751842
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发表时间:
2008
期刊:
2008 IEEE International Conference on Computer Design
影响因子:
--
通讯作者:
G. Choi
G. Choi
中科院分区:
--
文献类型:
--
作者:
Pankaj Bhagawat;Rajballav Dash;G. Choi

文献摘要

被引文献

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MIMO系统(具有多个发射天线)变得越来越流行,许多下一代系统,例如WiMAX,3-GPP LTE和IEEEE802.11 n无线LANS依赖于MIMO系统的增加,最多四个天线位于接收器和发射器。对MIMO系统检测单元的高吞吐量实施是一个重大挑战。这一挑战变得更加困难,因为上述标准需要支持多个调制和编码方案。这意味着MIMO检测器必须动态重新配置。同样,为了达到所需的位错误率(BER)或帧错误率(FER)性能,检测器必须为高级正向误差校正(FEC)方案(如Turbo代码)提供软值。本文提出了一种新型MIMO探测器结构的ASIC实现,该实现能够即时重新配置并提供软值作为输出。该设计在45 nm预测技术库中实施,并行性因子为四个。该检测器具有收缩期结构的许多品质,并实现了QPSK 1 Gbps的连续吞吐量,16-QAM的500 Mbps和64-QAM的187.5 Mbps。总面积估计约为70 kgate,估计功耗为114兆瓦。
MIMO systems (with multiple transmit and receive antennas) are becoming increasingly popular, and many next-generation systems such as WiMAX, 3-GPP LTE and IEEE802.11 n wireless LANs rely on the increased throughput of MIMO systems with up to four antennas at receiver and transmitter. High throughput implementation of the detection unit for MIMO systems is a significant challenge. This challenge becomes still harder, because the above mentioned standards demand support for multiple modulation and coding schemes. This implies that the MIMO detector must be dynamically reconfigurable. Also, to achieve required bit error rate (BER) or frame error rate (FER) performance, the detector has to provide soft values to advanced forward error correction (FEC) schemes like turbo Codes. This paper presents an ASIC implementation of a novel MIMO detector architecture that is able to reconfigure on the fly and provides soft values as output. The design is implemented in 45 nm predictive technology library, and has a parallelism factor of four. The detector has many qualities of a systolic architecture and achieves a continuous throughput of 1 Gbps for QPSK, 500 Mbps for 16-QAM, and 187.5 Mbps for 64-QAM. The total area is estimated to be approximately 70 KGates equivalent, and power consumption is estimated to be 114 mW.