Energy-Efficient Transmissions of Bursty Data Packets with Strict Deadlines over Time-Varying Wireless Channels

Wang, Xin; Li, Zhaoquan

doi:10.1109/twc.2013.040213.121629

Cited by 49 publications

(64 citation statements)

References 22 publications

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“…In [26], the power allocation was optimized to maximize a bits-per-Joule EE in the conventional singlehop frequency-selective channels under the assumption of nonnegligible constant circuit power. In [27], a string tautening algorithm was proposed to produce the most energy-efficient schedule for delay-limited traffic, first under the assumption of negligible circuit power, and then extended to non-negligible constant circuit powers [28] and energy-harvesting communications [29]. In [30], the rate region of a FD OFDM link was maximized under non-ideal transceivers by modelling the self-interference as an additive error vector magnitude (EVM) noise which was decomposed into the equivalent noises at the two ends of the FD link.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power

Cui

Zhang

et al. 2017

IEEE Trans. Wireless Commun.

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Abstract-In this paper, we maximize the energy efficiency (EE) of full-duplex (FD) two-way relay (TWR) systems under non-ideal power amplifiers (PAs) and non-negligible transmission-dependent circuit power. We start with the case where only the relay operates full duplex and two timeslots are required for TWR. Then, we extend to the advanced case, where the relay and the two nodes all operate full duplex, and accomplish TWR in a single timeslot. In both cases, we establish the intrinsic connections between the optimal transmit powers and durations, based on which the original non-convex EE maximization can be convexified and optimally solved. Simulations show the superiority of FD-TWR in terms of EE, especially when traffic demand is high. The simulations also reveal that the maximum EE of FD-TWR is more sensitive to the PA efficiency, than it is to self-cancellation. The full FD design of FD-TWR is susceptible to traffic imbalance, while the design with only the relay operating in the FD mode exhibits strong tolerance.Index Terms-Energy efficiency, full-duplex, non-ideal power amplifier, non-negligible circuit power, two-way relay.

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Section: Introductionmentioning

confidence: 99%

Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power

Cui

Zhang

et al. 2017

IEEE Trans. Wireless Commun.

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“…We also note that the constructed solution satisfies all the constraints in problem (10) and is thereby a feasible solution. Since the case when x * k = 0 is obviously satisfied, we only discuss the case when x * k = 1 in the following.…”

Section: Discussionmentioning

confidence: 83%

“…C5 indicates whether to serve MU k or not. Note that if x k = 0, then from C2 and C4, both b k,n and q k will be forced to be zeros at the optimal solution of problem (10), which means that the SC does not obtain additional bandwidth from MU k and does not serve MU k either. C6 and C7 are non-negativity constraints on the bandwidth and power allocation variables, respectively.…”

Section: Problem Formulation and Analysismentioning

confidence: 99%

“…Due to rapidly rising energy costs and tremendous carbon footprints [5]- [10], energy efficiency (EE), measured in bitsper-joule, has attracted considerable attention as a new performance metric in both academia and industry [11]- [23]. Energy-efficient resource allocation has been studied in [13] for a single cell with large numbers of base station antennas.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Small Cell With Spectrum-Power Trading

Chen

et al. 2016

IEEE J. Select. Areas Commun.

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In this paper, we investigate spectrum-power trading between a small cell (SC) and a macro cell (MC), where the SC consumes power to serve the macro cell users (MUs) in exchange for some bandwidth from the MC. Our goal is to maximize the system energy efficiency (EE) of the SC while guaranteeing the quality of service of each MU as well as small cell users (SUs). Specifically, given the minimum data rate requirement and the bandwidth provided by the MC, the SC jointly optimizes MU selection, bandwidth allocation, and power allocation while guaranteeing its own minimum required system data rate. The problem is challenging due to the binary MU selection variables and the fractionalform objective function. We first show that the bandwidth of an MU is shared with at most one SU in the SC. Then, for a given MU selection, the optimal bandwidth and power allocation is obtained by exploiting the fractional programming. To perform MU selection, we first introduce the concept of the trading EE to characterize the data rate obtained as well as the power consumed for serving an MU. We then reveal a sufficient and necessary condition for serving an MU without considering the total power constraint and the minimum data rate constraint: the trading EE of the MU should be higher than the system EE of the SC. Based on this insight, we propose a low complexity MU selection method and also investigate the optimality condition. Simulation results verify our theoretical findings and demonstrate that the proposed resource allocation achieves near-optimal performance.

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“…By employing the cumulative-curves methodology, a calculus approach is proposed in [18] to minimise the transmission energy consumption, which targets to obtain the optimal departure curve. Besides, the multi-user scenario is concerned in [19,20], and the energy-efficient scheduling in time-varying or fading channel is addressed in [21][22][23][24]. In addition to the packet transmission, the energy consumption from the circuit is also considered recently in [25,26].…”

Section: Introductionmentioning

confidence: 99%

Energy‐efficient packet transmission with unidirectional‐valve scheduling

et al. 2015

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This study proposes a unidirectional-valve (UDV) algorithm for energy-efficient transmission, where the packets arrived at different times must be transmitted before a common deadline. The UDV algorithm divides the total transmission time into a series of segments. For a newly arrived packet, it is regarded as a new segment and its rate is compared with that of the former adjacent one, then the two segments are combined into one if the new segment has a lower or an equal rate. The comparison and combination are alternately performed until the rate on the whole actually becomes non-decreasing. In the offline case that the sizes and arrival times of all packets are learned at the beginning, it has been demonstrated that the UDV scheduling achieves the optimal energy-efficient transmission; while in the online case that only the mean size and mean interval of future packets are known, UDV achieves the energy efficiency approaching the optimality. In addition, the proposed UDV scheduling has a low computational complexity, and thus can be readily implemented in the system.

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Energy-Efficient Transmissions of Bursty Data Packets with Strict Deadlines over Time-Varying Wireless Channels

Cited by 49 publications

References 22 publications

Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power

Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power

Energy-Efficient Small Cell With Spectrum-Power Trading

Energy‐efficient packet transmission with unidirectional‐valve scheduling

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