Modulation scaling for Energy Aware Communication Systems

Schurgers, Curt; Aberthorne, Olivier; Srivastava, Mani

doi:10.1145/383082.383103

Cited by 201 publications

(41 citation statements)

References 7 publications

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“…Single user EE optimization is a vivid investigation topic. In (Schurgers, Aberthorne, Srivastava, 2001) the authors propose to trade off energy against transmission delay. Actually, Shannon theory indicates that it is desirable to transmit a packet over a longer period of time to save transmit energy.…”

Section: Design Of Green Networkmentioning

confidence: 99%

Holistic Approach for Future Energy Efficient Cellular Networks

Strinati

Herault

2010

Elektrotech. Inftech.

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Worldwide mobile broadband communications networks are increasingly contributing to global energy consumption. In this paper we tackle the important issue of energy saving by enhancing the energy efficiency of mobile broadband systems thereby reducing CO 2 emissions. We first provide a holistic system view aiming at ensuring that any proposed solutions to improve energy efficiency do not degrade the energy efficiency or performance on any other part of the system. Then, we present a novel scheduling algorithm that improves the scheduling energy efficiency in OFDMA-based wireless cellular networks. Our goal is to reduce the overall downlink energy consumption while adapting the target of spectral efficiency to the actual load of the system and meeting the Quality of Service. Our analysis reveals how the proposed approach permits to achieve notable energy gain over traditional scheduling algorithm especially in not saturated scenarios.Ganzheitlicher Lö sungsansatz fü r zukü nftige energieeffiziente Mobilfunknetze.Weltweite Breitband-Mobilkommunikation trä gt immer mehr zum globalen Energieverbrauch bei. Dieser Aufsatz untersucht die wichtige Problematik des Energiesparens durch Steigerung von Energieeffizienz mobiler Breitbandsysteme. Dies fü hrt letztendlich zur Reduzierung des CO 2 -Ausstoßes. Es wird zunä chst eine ganzheitliche Systemansicht vorgelegt, welche verhindern soll, dass Ansä tze zur Steigerung der Energieeffizienz die Energieeffizienz oder die Dienstleistung anderer Teile des Systems schmä lern. Danach wird ein neuer Scheduling-Algorithmus prä sentiert, welcher die Scheduling-Energieeffiezienz in OFDMA-basierten, drahtlosen, zellularen Netzen erhö ht. Sein Ziel ist, die Gesamtenergieaufnahme des Downlinks unter Einhaltung der benö tigten Spektraleffizienz und Dienstqualitä t zu reduzieren. Analysen zeigen, wie die vorgeschlagene Lö sung beträ chtliche Energiegewinne im Vergleich zu traditionellen Scheduling-Algorithmen, insbesondere in ungesä ttigten Netzen, erzielen kann.

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Section: Design Of Green Networkmentioning

confidence: 99%

Holistic Approach for Future Energy Efficient Cellular Networks

Strinati

Herault

2010

Elektrotech. Inftech.

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“…By equating (8) for the two successive rates, E TOTAL ,k = E TOTAL ,k + 1, the threshold values for the rate adaptation are determined as…”

Section: Calculation Of the Minimum Usable Ratementioning

confidence: 99%

“…A more appropriate energy-efficient rate adaptation would be to dynamically and online select a suitable modulation schemes based on both the channel state and the network traffic. The basic concept was analyzed in [8] and proved to be effective. Relevant parameters for the selection of the modulation scheme include bit-error-rate (BER) and signal to noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient Rate Adaptation MAC Protocol for Ad Hoc Wireless Networks

Zawodniok

Jagannathan

2007

Int J Wireless Inf Networks

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In this paper, two novel energy-efficient rate adaptation schemes are presented. The proposed protocols use the Distributed Power Control (DPC) algorithm to predict the channel state and determine the necessary transmission power which optimizes the energy consumption. The first proposed rate adaptation scheme heuristically alters the modulation rate to balance the energy-efficiency and the required throughput which is estimated with queue fill ratio. Moreover, the back-off scheme is incorporated to mitigate congestion and reduce packet losses due to buffer overflows thus minimizing energy consumption. Consequently, the nodes will conserve energy when the traffic is low, offer higher throughput when needed and save energy during congestion by limiting transmission rates. The second rate adaptation scheme employs dynamic programming (DP) principle to analytically select modulation rate and a burst size to be used during transmission. The proposed quadratic cost-function minimizes the energy consumption while alleviating network congestions and buffer overflows. The proposed DP solution renders a Riccati equation ultimately providing an optimal rate selection. The simulation results indicate that an increase in throughput by 96% and energy-efficiency by 131% is observed when compared to other available protocols, for example Receiver Based AutoRate (RBAR).

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“…The most relevant works include [6][7][8][9][10][11]. The problem of scheduling packet transmissions for data gathering is discussed in [6].…”

Section: Related Work and Our Contributionsmentioning

confidence: 99%