Implementation of Mimo for Massive Multicore Architecture (P-0276) (MFN 4695)

Abstract

The recent development of Graphene based Nano antennas, Carbon Nano Tubes (CNTs) and Graphene Nano Ribbons (GNRs) have opened up a new pathway for the Electromagnetic communication. Modern microprocessor architecture design which are leading towards an intense increased parallelization in core-level communication, where independent number of cores or processors are interconnected. The key bottleneck is anticipation to migrate from computation to communication, efficiently and ascendable means that inter-core communication are essential for firm performance improvements in multi-core processors. As the number of cores increases, Network-on-Chip (NoC) paradigm will have constrains on latency, reliability, synchronization and communication problems. In our project, we focus on a novel research region where enormous multi-core architectures have core level wireless communication abilities. This can be achieved by using Graphene based Nano antennas, which can propagate signals at Terahertz band (ranges from 0.1THz to 10THz). Whileconsuming lower chip area than it metallic counterpart. This thesis investigates the Bit Error Rate (BER) for Graphene enabled wireless communication for massive multicore processors of Single Input Multiple Output (SIMO) and Multiple Input Multiple Output (MIMO) radio communication system using AWGN channel. A SIMO and MIMO systems were designed using diversity technique. FirstBER was evaluated with binary phase shift keying (BPSK), On-Off Keying (OOK) and Pulse Amplitude Modulation (PAM). Matlab was used to simulate the design, which was tested in additive white Gaussian noise (AWGN) channel. Furthermore the receiver design was incorporated with the maximal ratio combiner (MRC), equal gain combiner (EGC), selection diversity (SC) receiving technique. The results were derived using these techniques and we have selected the best technique after comparison. Then we have applied MIMO on best technique to further reduce the BER.