Competitive Design of Energy Harvesting Communications in Wireless Fading Channels
| Autor: | Jesus Gomez-Vilardebo |
|---|---|
| Přispěvatelé: | Centre Tecnològic de Telecomunicacions de Catalunya |
| Rok vydání: | 2017 |
| Předmět: |
Wireless fading channel
energy harvesting Engineering Mathematical optimization online algorithms Computer Networks and Communications Computer science Competitive rate gap 050801 communication & media studies 02 engineering and technology Gap analysis Communications system Upper and lower bounds 0508 media and communications Electronic engineering 0202 electrical engineering electronic engineering information engineering Wireless Fading fading channels Electrical and Electronic Engineering Energia -- Captació business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 05 social sciences 020206 networking & telecommunications Enginyeria de la telecomunicació [Àrees temàtiques de la UPC] Computer Science Applications Transmission (telecommunications) throughput maximization business Energy harvesting Software Energy (signal processing) Computer network Communication channel |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname IEEE-ACM TRANSACTIONS ON NETWORKING r-CTTC: Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) SPAWC r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| ISSN: | 1558-2566 1063-6692 |
| DOI: | 10.1109/tnet.2017.2757515 |
| Popis: | This paper considers the design of online transmission strategies for slotted energy harvesting point-to-point communication systems in wireless fading channels. Online transmission strategies decide the amount of energy allocated to each transmission slot based on the energy harvested amounts and channel gains observed in the current and previous time slots. Offline strategies, in contrast, assume non-causal knowledge of future energy arrivals and channel gains. We adopt a worst case design objective. For a given online policy, we are interested in computing its maximum rate gap that is defined as the difference between the offline and online rates, maximized over all possible energy arrivals and channel states. The competitive rate gap is then defined as the minimum maximum rate gap over all possible online strategies. Here, we obtain, within a constant, the maximum rate gap for the Myopic policy, which equally distributes the available energy over the remaining slots, and provide an upper and a lower bound on the competitive rate gap. Moreover, we propose a new online policy targeting the competitive rate gap. Numerical results show that the policy proposed performs close to the competitive rate gap lower bound in constant and arbitrarily varying channels, and obtains good performance with real energy harvesting traces. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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