## Abstract

The rapid growth in the processing speeds of recent processors have prompted corresponding advances in fields such as signal processing and real time operating systems where improved system speed translates to better results. The operation of the high speed processors produce high current densities in metallic interconnects which in turn raise issues of signal integrity as negative effects like signal attenuation and distortion, electromagnetic interference (EMI), crosstalk and power dissipation increase. There is also the bandwidth limitation of metallic interconnects. The optical interconnect technology is being been studied as a promising technology that will eventually replace electrical interconnects in devices and systems for the future.

The typical optical receiver comprises a photodiode, frontend amplifier, limiting amplifier and an output buffer stage. According to Jamshid Sangirov et al, the limiting amplifier consumes more power than the front end amplifier. This observation was used to reduce power consumed in the receiver’s idle state by turning off the limiting amplifier stage, using the front end amplifier stage to determine the presence or otherwise of data signals at the input of the receiver. They demonstrated using a 0.13µm CMOS technology, an idle mode power savings of 51% with an overall receiver power consumption of 50mW at 1.3V.

This papers presents a mathematical analysis of the optical receiver module, and by extension all its components. The researchers adopted the decomposition strategy, which is very similar to the piecewise analysis of mathematical functions, and which models the behavior of the function as the summation of its behavior at certain intervals. The overall objective is to dynamically model the physical relationships at play in each of the components in the static, active and static-to-active modes using mathematical equations. Attention is also given to system and component level properties like power savings and power efficiency, response time, crosstalk, operating frequency, impact of integration technology used, mode switching and data rates. A proper understanding of these and their interrelationships would form the basis of system performance improvements for the optical receiver module, towards realizing an optically interconnected computing system.

The typical optical receiver comprises a photodiode, frontend amplifier, limiting amplifier and an output buffer stage. According to Jamshid Sangirov et al, the limiting amplifier consumes more power than the front end amplifier. This observation was used to reduce power consumed in the receiver’s idle state by turning off the limiting amplifier stage, using the front end amplifier stage to determine the presence or otherwise of data signals at the input of the receiver. They demonstrated using a 0.13µm CMOS technology, an idle mode power savings of 51% with an overall receiver power consumption of 50mW at 1.3V.

This papers presents a mathematical analysis of the optical receiver module, and by extension all its components. The researchers adopted the decomposition strategy, which is very similar to the piecewise analysis of mathematical functions, and which models the behavior of the function as the summation of its behavior at certain intervals. The overall objective is to dynamically model the physical relationships at play in each of the components in the static, active and static-to-active modes using mathematical equations. Attention is also given to system and component level properties like power savings and power efficiency, response time, crosstalk, operating frequency, impact of integration technology used, mode switching and data rates. A proper understanding of these and their interrelationships would form the basis of system performance improvements for the optical receiver module, towards realizing an optically interconnected computing system.

Original language | English |
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Title of host publication | SPIE Optics and Optoelectronics |

Publisher | SPIE |

Publication status | Accepted/In press - Jan 18 2019 |