The impact of QoS constraints on the energy efficiency of fixed-rate wireless transmissions

Qiao, Deli; Gursoy, M. Cenk; Velipasalar, Senem

doi:10.1109/twc.2009.12.081600

Cited by 44 publications

(43 citation statements)

References 29 publications

(40 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, variablerate/variable-power and variable-rate/fixed-power transmission schemes are studied, in [73] and [75], when the receiver has perfect channel side information (CSI) in both the cases and with or without knowledge at the transmitter. The effective capacity regions for multi-access channel with different scheduling policies have been characterized in [76].…”

Section: A Se-bit Energy Tradeoffmentioning

confidence: 99%

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Mahapatra¹,

Nijsure

Kaddoum

et al. 2016

IEEE Commun. Surv. Tutorials

191

View full text Add to dashboard Cite

Abstract-Energy efficient (EE) communication has earnedtremendous interest in recent years due to ever increasing number of wireless devices operating in shrinking cells, while demanding high data rates with high Quality of Services (QoS) and Quality of Expectation (QoE). To support these objectives, energy is consumed in every protocol layer. Establishing and maintaining a successful wireless communication link to simultaneously achieve all these objectives becomes challenging since the energy consumption requirements of the user and network are different for different objectives. Thus, there is a need for tradeoff techniques to achieve energy efficiency in each protocol layer. In this paper, we provide a survey of different tradeoff mechanisms proposed in the literature. The EE tradeoffs have been classified based on each protocol layer and discussed its affect in the network energy efficiency. These other QoS parameters include spectral efficiency, deployment, delay, routing, scheduling, bandwidth and coding etc. This survey also discusses the various EE techniques to improve energy-efficiency in infrastructure mode. Finally, the work provides an discussion, where impact of EE tradeoffs have been presented based on different wireless architecture towards realizing a green wireless communication network.

show abstract

Section: A Se-bit Energy Tradeoffmentioning

confidence: 99%

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Mahapatra¹,

Nijsure

Kaddoum

et al. 2016

IEEE Commun. Surv. Tutorials

191

View full text Add to dashboard Cite

show abstract

“…The impact of QoS constraints on the energy efficiency of wireless transmissions has been analyzed in [18].…”

Section: State Of the Artmentioning

confidence: 99%

Design of QoS-Aware Energy-Efficient Fiber–Wireless Access Networks

Schütz

Correia

2012

J. Opt. Commun. Netw.

View full text Add to dashboard Cite

Abstract-Energy-efficient network design has recently become a very important topic because of the energy cost increases in service providers' infrastructures. This is of particular importance in access networks because of the growing demand for digital traffic by end users. Here we address the challenge of reducing the energy consumption of fiber-wireless (FiWi) access networks, which use both optical and radio frequency technologies to provide high bandwidth and ubiquity for end-user applications, while keeping delay under a threshold. Our goal is to find optimal sleep mode schedulings that allow energy consumption to be reduced while keeping packet delay acceptable. For this purpose a mathematical formalization and an algorithm are developed. The results show that the proposed approach is able to reduce the average packet delay, with negligible energy cost increases, in many scenarios, besides being computationally efficient and scalable. The proposed approach may, therefore, serve as a basis for planning and design of quality-of-service-aware energy-efficient FiWi access networks.

show abstract

“…Recently effective capacity of wireless communication has attracted much attention to estimate reliability, latency, security, energy efficiency and transmit power. For instance, in [7], the authors considered fixed rate transmission technique and applied effective capacity to evaluate energy efficiency under QoS constraints. The authors used fixed-rate transmission modeled as a two-state (ON/OFF) discrete-time Markov chain.…”

Section: Introductionmentioning

confidence: 99%

Optimum Transmission Rate in Fading Channels with Markovian Sources and QoS Constraints

Qasmi

Shehab

Alves

2018

2018 15th International Symposium on Wireless Communication Systems (ISWCS)

View full text Add to dashboard Cite

This paper evaluates the performance of reliability and latency in machine type communication networks, which composed of single transmitter and receiver in the presence of Rayleigh fading channel. The source's traffic arrivals are modeled as Markovian processes namely Discrete-Time Markov process, Fluid Markov process, and Markov Modulated Poisson process, and delay/buffer overflow constraints are imposed. Our approach is based on the reliability and latency outage probability, where transmitter not knowing the channel condition, therefore the transmitter would be transmitting information over the fixed rate. The fixed rate transmission is modeled as a two state Discrete time Markov process, which identifies the reliability level of wireless transmission. Using effective bandwidth and effective capacity theories, we evaluate the trade-off between reliability-latency and identify QoS requirement. The impact of different source traffic originated from MTC devices under QoS constraints on the effective transmission rate are investigated.

show abstract

The impact of QoS constraints on the energy efficiency of fixed-rate wireless transmissions

Cited by 44 publications

References 29 publications

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Design of QoS-Aware Energy-Efficient Fiber–Wireless Access Networks

Optimum Transmission Rate in Fading Channels with Markovian Sources and QoS Constraints

Contact Info

Product

Resources

About