Optimization issues for data rate in energy harvesting relay-enabled cognitive sensor networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10242164" target="_blank" >RIV/61989100:27240/19:10242164 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/19:10242164

Výsledek na webu

<a href="https://reader.elsevier.com/reader/sd/pii/S1389128618307898?token=BF890219F7E1B46934917DD5DB9C15ACD0A7C53E21CA953B8FD9B15FC3A11691895548255503237BC3516C26A44B0A26" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S1389128618307898?token=BF890219F7E1B46934917DD5DB9C15ACD0A7C53E21CA953B8FD9B15FC3A11691895548255503237BC3516C26A44B0A26</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.comnet.2019.04.012" target="_blank" >10.1016/j.comnet.2019.04.012</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimization issues for data rate in energy harvesting relay-enabled cognitive sensor networks

Popis výsledku v původním jazyce

This paper looks into an energy harvesting (EH) relay-enabled cognitive radio wireless sensor network (CR-WSN) considering power splitting (PS) architecture. More specifically, a relay (RU) harvesting energy from the signals transmitted from a secondary user transmitter (ST,) and using the harvested energy to forward the resulting signals to another sensor node subsequently is being investigated. This scheme can be broken down into two components, i.e., a sensor node physically placed near the transmitter (SPNT) and a sensor node physically placed far from the transmitter (SPFT). The closed-form expressions for the successful transmission probability (STP) and the achievable data rate in both cases can be derived analytically. In order to quantify the energy consumption, the system energy efficiency (EE) is examined. Furthermore, the achievable data rate was optimized in three possible scenarios, i.e., the trade-off between the sum data rate and the sum harvested energy (R-E), the achievable data rate at RU, and the joint optimization of the power allocation and PS ratio in case of SPNT. A Monte Carlo simulation has been performed to verify the theoretical analysis obtained, and to show the impact of different parameters on system performance. (C) 2019

Název v anglickém jazyce

Optimization issues for data rate in energy harvesting relay-enabled cognitive sensor networks

Popis výsledku anglicky

This paper looks into an energy harvesting (EH) relay-enabled cognitive radio wireless sensor network (CR-WSN) considering power splitting (PS) architecture. More specifically, a relay (RU) harvesting energy from the signals transmitted from a secondary user transmitter (ST,) and using the harvested energy to forward the resulting signals to another sensor node subsequently is being investigated. This scheme can be broken down into two components, i.e., a sensor node physically placed near the transmitter (SPNT) and a sensor node physically placed far from the transmitter (SPFT). The closed-form expressions for the successful transmission probability (STP) and the achievable data rate in both cases can be derived analytically. In order to quantify the energy consumption, the system energy efficiency (EE) is examined. Furthermore, the achievable data rate was optimized in three possible scenarios, i.e., the trade-off between the sum data rate and the sum harvested energy (R-E), the achievable data rate at RU, and the joint optimization of the power allocation and PS ratio in case of SPNT. A Monte Carlo simulation has been performed to verify the theoretical analysis obtained, and to show the impact of different parameters on system performance. (C) 2019

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

<a href="/cs/project/LM2015070" target="_blank" >LM2015070: IT4Innovations národní superpočítačové centrum</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computer Networks

ISSN

1389-1286

e-ISSN

—

Svazek periodika

157

Číslo periodika v rámci svazku

July

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

29-40

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85064636337