HPC applications make intensive use of large sparse matrices with the matrix-vector product representing a significant fraction of the total run-time. These matrices are characterized by non-uniform matrix structures and irregular memory accesses that make it difficult to achieve a good scalability in modern HPC platforms with multi-or many-cores, SIMD and high-speed communication networks. One of the…
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Diffusion-Based Clock Synchronization for Molecular Communication Under Inverse Gaussian Distribution
Nanonetworks are expected to expand the capabilities of individual nanomachines by allowing them to cooperate and share information by molecular communication. The information molecules are released by the transmitter nanomachine and diffuse across the aqueous channel as a Brownian motion holding the feature of a strong random movement with a large propagation delay. In order to…
A Compact Readout Electronics for the Ground Station of a Quantum Communication Satellite
Free-space quantum key distribution (QKD) is being developed for achieving unconditional securecommunication over ultra-long distance, which requires higher electronics performance, such as higher time measurement precision, higher data-transfer rate, and higher system integration density. As part of the ground station of the Quantum Science Satellite that will be launched in 2016, we specifically designed a compact…
Design and development of daughter board for USB-UART communication between Raspberry Pi and PC
Development of real time applications using platforms such as Raspberry Pi often requires interfacing of different sensors and communication modules. They can be easily interfaced using RS232 port but now a days it is replaced by USB. Interfacing sensors and modules having only USB ports, some sort of port conversion is required that can emulate a serial…
A federated simulation toolkit for electric power grid and communication network co-simulation
This paper introduces a federated simulation toolkit (FSKIT) that couples continuous time and discrete event simula- tions (DES) to perform the co-simulation of electric power grids and communicationnetworks. A High Performance Computing (HPC) oriented power system dynamic simulator, GridDyn, was used for the electric power grid simulation. GridDyn is coupled to the open-source network simulator, ns-3,…
Optimal power allocation for multiple input single output cognitive radios with antenna selection strategies
The opportunistic spectrum access technology is one of the most promising methods for alleviating the spectrum scarcity problem, which enables a secondary user (SU) to utilise a primary user spectrum band that is detected idle. However, the throughput achieved by cognitive radios is limited by the interference constraint imposing on the SU. Multiple input single output antenna techniques…
Multi-path routing for a cognitive Wireless Mesh Network
In wireless mesh networks (WMNs), the achievable performance of the nodes depends on the behavior of intermediate routers. Utilizing cognition in the network could result in higher adaptivity to satisfy the end-user requirements. In this paper, we propose a cognitive WMN that utilizes multiple gateways to serve a client through multi-path routing. The injected intellectuality in the network (cognitive process) relieves the capriciousness by…
Powering the IoT: Storage-less and converter-less energy harvesting
Wide spread of Internet of Things (IoTs) still have huddles in cost and maintenance. Energy harvesting is a promising option to mitigate battery replacement, but the current energy harvesting methods still rely on batteries or equivalent and power converters for the maximum power point tracking (MPPT). Unfortunately, batteries are subject to wear and tear, which…
Two-stage spectrum sensing for cognitive radio under noise uncertainty
The robustness to uncertainty of noise power is one of main challenges to spectrum sensing technique. Since the occurrence of noise power uncertainty causes the detection performance of spectrum sensing techniques significantly degrade. In this paper, we propose two novel schemes of two-stage spectrum sensing for cognitive radio under environment as noise power uncertainty. The two-stage spectrum sensing…
Deep Sensing for Next-Generation Dynamic Spectrum Sharing: More Than Detecting the Occupancy State of Primary Spectrum
In this paper, spectrum sensing is investigated and a new detection framework, namely, deep sensing (DS), is proposed for more challenging scenarios of future dynamic spectrum sharing. In contrast to existing methods, the DS scheme is designed to proactively recover and exploit some other informative states associated with realistic cognitive links (e.g., fading gains), except detecting the…