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Radio Resource Allocation Over Fading Channels Under Statistical Delay ConstraintsPower Allocation Over Fading Channels Under Delay Constraints: A Review

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints: Power... [In many wireless communication scenarios, energy management is an important issue for reasons such as extending a device’s usable life-time. Since transmission power is one of the main energy consumers in wireless devices, efficient power allocation has been an important challenge, which has attracted significant research interests. Consider a point-to-point communications link over a fading channel with random data arrivals at the source. Due to fading, the channel conditions (and the corresponding instantaneous transmission rates) unpredictably fluctuate over time. Hence, the arriving data might not be transmitted to the destination instantly without delay. To overcome the fading nature of wireless channels, the source uses a buffer to store the data arrivals temporarily, which introduces random queuing delay as a consequence. Intuitively, for power savings, the source can simply defer the packet transmission during ‘bad’ channel states, and transmit more packets during ‘good’ channel states, i.e., more power is allocated under more favorable channel conditions. However, such transmission mechanism can lead to long delays for buffered packets since ‘bad’ channel states can happen often. As a result, delay QoS guarantees cannot be provided as required in order to support delay-sensitive communications. Toward this end, several power allocation schemes over fading channels have been proposed to support delay QoS guarantees as briefly discussed in Chap. 1 In this chapter, we will discuss this topic in greater detail.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Radio Resource Allocation Over Fading Channels Under Statistical Delay ConstraintsPower Allocation Over Fading Channels Under Delay Constraints: A Review

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2017
ISBN
978-3-319-57692-3
Pages
11 –27
DOI
10.1007/978-3-319-57693-0_2
Publisher site
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Abstract

[In many wireless communication scenarios, energy management is an important issue for reasons such as extending a device’s usable life-time. Since transmission power is one of the main energy consumers in wireless devices, efficient power allocation has been an important challenge, which has attracted significant research interests. Consider a point-to-point communications link over a fading channel with random data arrivals at the source. Due to fading, the channel conditions (and the corresponding instantaneous transmission rates) unpredictably fluctuate over time. Hence, the arriving data might not be transmitted to the destination instantly without delay. To overcome the fading nature of wireless channels, the source uses a buffer to store the data arrivals temporarily, which introduces random queuing delay as a consequence. Intuitively, for power savings, the source can simply defer the packet transmission during ‘bad’ channel states, and transmit more packets during ‘good’ channel states, i.e., more power is allocated under more favorable channel conditions. However, such transmission mechanism can lead to long delays for buffered packets since ‘bad’ channel states can happen often. As a result, delay QoS guarantees cannot be provided as required in order to support delay-sensitive communications. Toward this end, several power allocation schemes over fading channels have been proposed to support delay QoS guarantees as briefly discussed in Chap. 1 In this chapter, we will discuss this topic in greater detail.]

Published: May 12, 2017

Keywords: Orthogonal Frequency Division Multiplex; Fading Channel; Power Allocation; Queue Length; Energy Harvesting

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