Quality-of-service driven power and rate adaptation for multichannel communications over wireless links

Tang, Jia; Zhang, Xi

doi:10.1109/twc.2007.06031

Cited by 133 publications

(105 citation statements)

References 18 publications

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“…In [62]- [64], the authors study the power allocation problems for EC or energy efficiency maximization for multi-channel settings, i.e., orthogonal frequency division multiplexing (OFDM). We omit the details here for brevity.…”

Section: Otherwisementioning

confidence: 99%

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Phan¹,

Le‐Ngoc²

2017

SpringerBriefs in Electrical and Computer Engineering

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Wireless data transmission suffers from the fading nature of wireless channels, where the instantaneous channel conditions and hence transmission rates randomly fluctuate over time. Consequently, data arrivals at each transmitter might not be transmitted instantly. To cope with this situation, the transmitter employs buffer to store the data temporarily for later transmission. While data buffering enables more efficient radio resource allocation to opportunistically select the favorable fading conditions for transmission, it introduces queuing delay that needs to be controlled in order to meet the end-to-end delay quality-ofservice (QoS) requirements in supporting delay-sensitive communications. In this thesis, we study and develop radio resource allocation schemes for buffer-aided communications over wireless fading channels under statistical delay constraints. Using the buffering capability as a means to exploit the fading diversity, the nodes (source and relay) perform resource allocation, and adapt their transmissions to the channel state information (CSI) in order to enhance the system throughput while maintaining the statistical delay QoS requirements in terms of upper-bounded average delay or delay-outage probability.The thesis starts by considering a source-destination communications link over a fading channel with data arriving at the source transmission buffer. In the first scenario, the source is assumed to have a maximum power constraint and an average delay constraint. We consider admission control applied on random data arrivals to the source buffer in order to avoid constraint violation, and study the joint optimal data admission control and power allocation (AC-PA) problem for throughput maximization. In the second scenario, we consider an energy-harvesting (EH) source, where random amounts of energy are harvested from renewable energy sources, and stored in a battery during the course of data transmission. In every transmission time slot, the source is constrained to use at most the amount of energy currently stored. We then explore optimal power allocation problems for such EH systems under average delay or delay-outage constraints. We formulate the problems as infinite horizon constrained Markov decision process (MDP) problems, which incorporate the random variations of the fading channel, data arrival, and EH processes. A novel solution approach based on post-decision state-value function is proposed to study the properties of the optimal solutions. We also propose online allocation algorithms when the statistical knowledge of the random processes is unknown, which is typical in real-life communications. Illustrative results demonstrate the effectiveness of the proposed algorithms over existing approaches iii under similar power and delay constraints.The thesis continues with a source-relay-destination communications link over fading channels with buffers available at both source and relay, as part of a multi-hop network. We investigate and develop optimal resource allocation schemes ...

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Section: Otherwisementioning

confidence: 99%

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Phan¹,

Le‐Ngoc²

2017

SpringerBriefs in Electrical and Computer Engineering

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“…We focus on a multiplexing-based system, which at the transmitter side, transmits different data streams through different subchannels and at the receiver side, recovers the parallel data streams separately [14]. To be specific, a wireless frequency-selective fading channel with a total bandwidth of is considered.…”

Section: System Modelmentioning

confidence: 99%

“…The frames are stored at the transmit buffer and split into bit streams at the physical layer. Then, based on the channel-state information (CSI) and QoS constraint, adaptive modulation and coding (AMC) and power policy are applied at the transmitter [14]. Then, the bit streams are read out of the buffer and transmitted through subcarriers.…”

Section: System Modelmentioning

confidence: 99%

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Multi-carrier link-layer energy efficiency and effective capacity tradeoff

Musavian

2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Abstract-A joint energy and spectral efficient power allocation strategy for a point-to-point multi-carrier link, subject to a delayoutage probability constraint, is proposed in this paper. Since the two objectives, namely, link-layer energy efficiency (EE) and effective capacity (EC), conflict with each other, the tradeoff problem falls into the scope of multi-objective optimization problem (MOP). With the advanced lexicographic method, the MOP is converted into a single-objective optimization problem (SOP) by maximizing the multi-carrier EC, subject to an EE constraint. Then, by introducing an adjustable performance indicator, EE-loss-rate EE , into the EE constraint limit, the tradeoff level is flexibly controlled. Finally, we prove that the tradeoff formulation is a concave maximization problem and the optimum power allocation strategy is found using Lagrangian method. Analytical results indicate that the proposed power allocation has a similar structure to the one for EE-maximization problem over a frequency-selective fading channel, but with a different cut-off threshold.

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“…In [3], Wu and Negi considered statistical QoS guarantees and defined the effective capacity as the maximum constant arrival rate that a given service process can support while satisfying QoS requirements. In [7] and [8], Tang and Zhang proposed power and rate adaptation techniques for maximizing the system throughput subject to a given delay-QoS constraint. Specifically, by incorporating the concept of effective capacity [3]- [6], they converted the original problem to the one aiming at maximizing the effective capacity, by which the delay-QoS constraint is characterized by the QoS exponent θ.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Energy Efficiency in Fading Channels under QoS Constraints

Qiao

Gursoy

Velipasalar

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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Abstract-1 Energy efficiency in fading channels in the presence of QoS constraints is studied. Effective capacity, which provides the maximum constant arrival rate that a given process can support while satisfying statistical delay constraints, is considered. Spectral efficiency-bit energy tradeoff is analyzed in the low-power and wideband regimes by employing the effective capacity formulation, rather than the Shannon capacity, and energy requirements under QoS constraints are identified. The analysis is conducted for the case in which perfect channel side information (CSI) is available at the receiver and also for the case in which perfect CSI is available at both the receiver and transmitter. In particular, it is shown in the low-power regime that the minimum bit energy required in the presence of QoS constraints is the same as that attained when there are no such limitations. However, this performance is achieved as the transmitted power vanishes. Through the wideband slope analysis, the increased energy requirements at low but nonzero power levels are determined. A similar analysis is also conducted in the wideband regime, and minimum bit energy and wideband slope expressions are obtained. In this regime, the required bit energy levels are found to be strictly greater than those achieved when Shannon capacity is considered. Overall, an energy-delay tradeoff is characterized.

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Quality-of-service driven power and rate adaptation for multichannel communications over wireless links

Cited by 133 publications

References 18 publications

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Multi-carrier link-layer energy efficiency and effective capacity tradeoff

Analysis of Energy Efficiency in Fading Channels under QoS Constraints

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