H2020Индивидуална стипендия2015–2017

GRENHAS · Green and Smart Communications with Energy Harvesting: A Signal Processing Approach

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2015-03-01 → 2017-02-28
Финансиране от ЕС: 185 857 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Комуникационните системи се изследват така, че да използват енергия от слънце, вятър или радиосигнали вместо само от батерии. Това помага за създаването на по-ефективни мрежи за умни домове, градове и екологичен мониторинг.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Green and Smart Communications with Energy Harvesting: A Signal Processing Approach

Efficient usage of energy resources is a growing concern in today's communication systems. Solutions that consider energy harvesting (EH), where nodes in a communication system utilize other available energy sources, such as solar, wind power or man made signals, instead of completely relying on a fixed battery or the power from the grid, offer a promising perspective. EH capabilities not only enable efficient usage of energy sources but also offer enhanced mobility and prolonged network life-times. Hence communications systems powered by energy harvesting have a wide range of applications including environmental monitoring, process monitoring, smart homes and smart cities. Understanding the information transfer capabilities of communication systems under EH constraints is an important step for efficiently incorporating EH capabilities into our systems.This work addresses this problem within a framework that prioritizes practical low-complexity solutions. We have adopted an estimation theoretic perspective where the problem is investigated within a practical signal processing framework. We have focused on efficient transmission and resource allocation strategies. Practical receiver structures with linear filtering, low complexity designs such as linear precoders, power allocation methods were important ingredients in our work. Our resulting solutions complement the existing information theoretic solutions, and contribute to moving us one step closer to creating future green and smart communication systems.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Efficient usage of energy resources is a growing concern in today's communication systems. Solutions that consider energy harvesting, where nodes in a communication system utilize other available energy sources, such as solar, wind power or man made signals, instead of completely relying on a fixed battery or the power from the grid, offer a promising perspective. Such approaches have a wide range of applications including wireless sensor networks, smart homes and smart cities.Understanding the information transfer capabilities of communication systems with energy harvesting features have been the attention of a number of recent works. At the moment the main line of research on the subject is typically done in an information theoretic framework with the rate maximization criterion. This line of work is important for understanding the fundamental limits in energy harvesting systems, yet it falls short in applicability in the context of practical scenarios.Here we propose an alternative estimation theoretic perspective where the problem is investigated within a practical signal processing framework. We will focus on efficient transmission and resource allocation strategies. Practical receiver structures with linear filtering, low complexity designs such as linear precoders, power allocation methods will be important ingredients in our work. The resulting solutions will complement the existing information theoretic solutions, and contribute to creating future green and smart communication systems.

Оригинален текст от CORDIS (на английски).

Участници

CHALMERS TEKNISKA HOGSKOLA AB · GoteborgКоординаторШвеция