Performance Analysis of Multilayer Graphene Nano-Ribbon in Current-Mode Signaling Interconnect System

In nanometer regime, graphene nano-ribbon (GNR) has been identified as one of the prominent materials for on-chip interconnects. Current-mode signaling (CMS) has higher performance over conventional voltage-mode signaling (VMS) technique. VMS technique has received wide attention. However, impressive CMS technique has been less explored and needs more investigation. This paper efficiently analyzes multilayer graphene nano-ribbon (MLGNR) interconnect using current-mode signaling technique. Propagation delay, power dissipation and bandwidth are determined for CMS MLGNR interconnect. The performance of CMS MLGNR interconnect is compared with CMS copper interconnect. MLGNR interconnect is analyzed using equivalent single conductor (ESC) model and is driven by CMOS gate. It is analyzed that with increase in interconnect length, propagation delay increases while power dissipation and bandwidth decrease. The effect of variations in number of graphene layers in MLGNR interconnect is also analyzed. It is investigated that as the number of graphene layers increases, the performance of MLGNR interconnect improves. Further, the impact of variations in signal transition period is examined. The signal transition period variations severely affect the performance of the system. It is investigated that CMS MLGNR interconnect outperforms its counterpart CMS copper interconnect and is aptly suited for integrated circuit designs.

[1]  Yash Agrawal,et al.  High-performance Current Mode Receiver Design for On-chip VLSI Interconnects , 2015 .

[2]  C. Xu,et al.  Modeling, Analysis, and Design of Graphene Nano-Ribbon Interconnects , 2009, IEEE Transactions on Electron Devices.

[3]  H. Rahaman,et al.  Performance modeling and analysis of carbon nanotube bundles for future VLSI circuit applications , 2014 .

[4]  Wentai Liu,et al.  Current-mode signaling in deep submicrometer global interconnects , 2003, IEEE Trans. Very Large Scale Integr. Syst..

[5]  J. Meindl,et al.  Compact Physics-Based Circuit Models for Graphene Nanoribbon Interconnects , 2009, IEEE Transactions on Electron Devices.

[6]  Fei Yuan,et al.  CMOS Current-Mode Circuits for Data Communications (Analog Circuits and Signal Processing) , 2006 .

[7]  Yehea I. Ismail,et al.  Effects of inductance on the propagation delay and repeater insertion in VLSI circuits , 2000, IEEE Trans. Very Large Scale Integr. Syst..

[8]  Wen-Yan Yin,et al.  Comparative Study on Multilayer Graphene Nanoribbon (MLGNR) Interconnects , 2014, IEEE Transactions on Electromagnetic Compatibility.

[9]  R. Sharma,et al.  Analytical Time-Domain Models for Performance Optimization of Multilayer GNR Interconnects , 2014, IEEE Journal of Selected Topics in Quantum Electronics.

[10]  Yash Agrawal,et al.  Design and analysis of efficient multilevel receiver for current mode interconnect system , 2014, 2014 IEEE Students' Conference on Electrical, Electronics and Computer Science.

[11]  Xiao-Chun Li,et al.  Transient Analysis of CMOS-Gate-Driven $RLGC$ Interconnects Based on FDTD , 2011, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[12]  S. Nasiri,et al.  TIME DOMAIN ANALYSIS OF GRAPHENE NANORIBBON INTERCONNECTS BASED ON TRANSMISSION LINE MODEL , 2012 .

[13]  Hannu Tenhunen,et al.  Modeling of Energy Dissipation in RLC Current-Mode Signaling , 2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[14]  Jun Hu,et al.  Signal Transmission Analysis of Multilayer Graphene Nano-Ribbon (MLGNR) Interconnects , 2012, IEEE Transactions on Electromagnetic Compatibility.

[15]  Maryam Shojaei Baghini,et al.  A Variation Tolerant Current-Mode Signaling Scheme for On-Chip Interconnects , 2013, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[16]  Rajeevan Chandel,et al.  An analysis of interconnect delay minimization by low-voltage repeater insertion , 2007, Microelectron. J..