Power and Signal-to-Noise Ratio Optimization in Mesh-Based Hybrid Optical Network-on-Chip using Semiconductor Optical Amplifiers

Autor: Tae Hee Han, Chang-Lin Li, Jun Yeong Jang, Min Su Kim
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Computer science
hybrid optical network-on-chip (HONoC)
02 engineering and technology
Noise (electronics)
lcsh:Technology
crosstalk noise
signal-to-noise ratio (SNR)
semiconductor optical amplifier (SOA)

lcsh:Chemistry
Signal-to-noise ratio
insertion loss
0202 electrical engineering
electronic engineering
information engineering

Electronic engineering
Insertion loss
signal-to-noise ratio (SNR)
General Materials Science
Instrumentation
lcsh:QH301-705.5
Fluid Flow and Transfer Processes
Optical amplifier
semiconductor optical amplifier (SOA)
lcsh:T
Process Chemistry and Technology
020208 electrical & electronic engineering
General Engineering
lcsh:QC1-999
020202 computer hardware & architecture
Computer Science Applications
Power (physics)
hybrid optical network-on-chip (HONoC)
insertion loss

Network on a chip
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
Scalability
lcsh:Engineering (General). Civil engineering (General)
lcsh:Physics
Degradation (telecommunications)
Zdroj: Applied Sciences
Volume 9
Issue 6
Applied Sciences, Vol 9, Iss 6, p 1251 (2019)
ISSN: 2076-3417
DOI: 10.3390/app9061251
Popis: To address the performance bottleneck in metal-based interconnects, hybrid optical network-on-chip (HONoC) has emerged as a new alternative. However, as the size of the HONoC grows, insertion loss and crosstalk noise increase, leading to excessive laser source output power and performance degradation. Therefore, we propose a low-power scalable HONoC architecture by incorporating semiconductor optical amplifiers (SOAs). An SOA placement algorithm is developed considering insertion loss and crosstalk noise. Furthermore, we establish a worst-case crosstalk noise model of SOA-enabled HONoC and induce optimized SOA gains with respect to power consumption and performance, respectively. Extensive simulations for worst-case signal-to-noise ratio (SNR) and power consumption are conducted under various traffic patterns and different network sizes. Simulation results show that the proposed SOA-enabled HONoC architecture and the associated algorithm help sustain the performance as network size increases without additional laser source power.
Databáze: OpenAIRE