A 12Gbps all digital low power SerDes transceiver for on-chip networking

ISCAS(2011)

引用 27|浏览7
暂无评分
摘要
In this paper, a new self-timed signaling technique for reliable low-power on-chip SerDes (Serialization and DeSerialization) links is presented. The transmitter serializes 8 parallel bits at 1.5GHz, and multiplexes the 12Gbps serial data stream with a 24GHz clock on a single line using three level signaling. This new signaling technique enables the receiver to recover the clock from the data with a simple phase detector circuitry. Moreover, this technique is insensitive to jitter accumulated during signal propagation or at the receiver input because the clock signal is extracted from the multiplexed data stream. Hence, timing errors in the received signal reflects in both the data and the extracted clock, and the data will be sampled correctly. The SerDes transceiver was implemented for a 3mm long lossy on-chip differential transmission line in 65nm TSMC CMOS technology. A primary advantage of building an all digital SerDes transceiver is the ease of scaling with technology, and the power and area reduction. The total power consumed in the Tx/Rx pair with the transmission line is 15.5mWatt, which is very small as compared to similar published signaling architectures.
更多
查看译文
关键词
bit rate 12 gbit/s,field effect mmic,tsmc cmos technology,integrated circuit reliability,on-chip networking,timing circuits,low-power on-chip serdes link reliability,phase detector circuitry,size 65 nm,transmitter,deserialization,low-power electronics,clock recovery,microwave links,frequency 1.5 ghz,serialization,signal propagation,all digital low power serdes transceiver,radio transceivers,serial data stream multiplexing,cmos logic circuits,phase detectors,timing errors,frequency 24 ghz,lossy on-chip differential transmission line,self-timed signaling technique,power reduction,network-on-chip,synchronisation,clock signal extraction,power transmission lines,network on chip,low power electronics,chip,detectors,transmitters,transceivers,signal analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要