…the network. The positioning problem is formulated as an ℓ minimization which is non- combinatorial, NP-hard, and finding a globally optimal solution for this problem has exponential complexity. Hence, we…
This paper presents measurements on dynamic off-body radio channels in an ultra wideband frequency range for wireless body area network communications focusing on the human body shadowing effect. Measurements were…
…using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes…
Data aggregation is a promising approach to enable massive machine-type communication (mMTC). Here, we first characterize the aggregation phase where a massive number of machine-type devices transmits to their respective…
…paper introduces research conducted to constitute an ecosystem to realize a digital university campus that is built on the latest communications infrastructure. To start the change process, it is consequential…
…was the twelfth time the award ceremony was held during the Science Forum. -University education and high-level research build new competence and innovation. They also help us make better use…
The sparse signal reconstruction of compressive sensing can be accomplished by \(l_1\)-norm minimization, but in many existing algorithms, there are the problems of low success probability and high computational complexity….
…of 4–5 ppm/°C and good compatibility with an Al electrode. Thus, these proposed substrates have much promise, with good thermal, mechanical, and dielectric properties comparable to commercial substrates while also…
…systems and beyond. While the current state-of-the-art networks communicate, compute, and process data in a centralized manner (at the cloud), for latency and compute-centric applications, both radio access and computational…