Maximizing Proportional Fairness in Wireless Powered Communications

Diamantoulakis, Panagiotis D.; Karagiannidis, George K.

doi:10.1109/lwc.2017.2659729

Cited by 57 publications

(48 citation statements)

References 15 publications

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“…1. We assume perfect synchronization among devices, which is in line with recent works [6], [9][10][11], [25].…”

Section: System Modelmentioning

confidence: 86%

“…where ς is the scale parameter for the pdf . We assume that the instantaneous channel gain for each device is perfectly estimated by the BS, which is a reasonable assumption when the BS has no constraint on energy and data processing capability [6], [9], [10], [27].…”

Section: System Modelmentioning

confidence: 99%

“…Since the signal power attenuation fluctuates independently for different devices, this strategy effectively exploits multi-user diversity. This can be achieved by minimizing the sum of logarithmic energy cost function of the individual devices [10], [27], (14). For the proportionally-fair energy minimization objective, (15) becomes:…”

Section: ) Sum Energy Minimizationmentioning

confidence: 99%

“…To the best of our knowledge, the recent works [6], [10], [11], [13] are the most relevant to our proposed scheme. Although the system models in these works are based on wireless power 1 To cross-check we compared AMPL-Couenne with CVX-sedumi/SDPT3 in geometric programming (GP) mode.…”

Section: Sub-optimal Multi-user Scheduling Schemementioning

confidence: 99%

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Sequencing and Scheduling for Multi-User Machine-Type Communication

Alvi

Zhou

Durrani

et al. 2020

IEEE Trans. Commun.

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In this paper, we propose joint sequencing and scheduling optimization for uplink machine-type communication (MTC). We consider multiple energy-constrained MTC devices that transmit data to a base station following the time division multiple access (TDMA) protocol. Conventionally, the energy efficiency performance in TDMA is optimized through multi-user scheduling, i.e., changing the transmission block length allocated to different devices. In such a system, the sequence of devices for transmission, i.e., who transmits first and who transmits second, etc., has not been considered as it does not have any impact on the energy efficiency. In this work, we consider that data compression is performed before transmission and show that the multi-user sequencing is indeed important. We apply three popular energy-minimization system objectives, which differ in terms of the overall system performance and fairness among the devices. We jointly optimize both multi-user sequencing and scheduling along with the compression and transmission rate control. Our results show that multi-user sequence optimization significantly improves the energy efficiency performance of the system. Notably, it makes the TDMA-based multi-user transmissions more likely to be feasible in the lower latency regime, and the performance gain is larger when the delay bound is stringent.

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“…1. We assume perfect synchronization among devices, which is in line with recent works [6], [9][10][11], [25].…”

Section: System Modelmentioning

confidence: 86%

Section: System Modelmentioning

confidence: 99%

Section: ) Sum Energy Minimizationmentioning

confidence: 99%

Section: Sub-optimal Multi-user Scheduling Schemementioning

confidence: 99%

See 2 more Smart Citations

Sequencing and Scheduling for Multi-User Machine-Type Communication

Alvi

Zhou

Durrani

et al. 2020

IEEE Trans. Commun.

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“…Adaptive power and time allocation under three fairness criteria including the maxmin, the proportional and harmonic fairness, were compared in [12]. A proportional fairness maximization problem was formulated in [13] to optimize the transmission time. In these works, the time was dedicated for either WET or WIT, and the positions of all users were assumed a priori.…”

Section: Introductionmentioning

confidence: 99%

On the Fairness Performance of NOMA-Based Wireless Powered Communication Networks

Liu

Chen

Cai

et al. 2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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The near-far problem causes severe throughput unfairness in wireless powered communication networks (WPCN). In this paper, we exploit non-orthogonal multiple access (NOMA) technology and propose a fairness-aware NOMA-based scheduling scheme to mitigate the near-far effect and to enhance the max-min fairness. Specifically, we sort all users according to their channel conditions and divide them into two groups, the interference group with high channel gains and the noninterference group with low channel gains. The power station (PS) concurrently transmits energy signals with the data transmissions of the users in the interference group. Thus, the users in the noninterference group can harvest more energy and achieve a higher throughput, while the users in the interference group degrade their performance due to the interfering signals from the PS. We then apply order statistic theory to analyze the achievable rates of ordered users, based on which all users are appropriately grouped for NOMA transmission to achieve the max-min fairness of the system. Meanwhile, the optimal number of interfered users that determines the set of users in each group, is derived. Our simulation results validate the significant improvement of both network fairness and throughput via the fairness-aware NOMAbased scheduling scheme.Index Terms-wireless powered communication networks, NOMA, max-min fairness, order statistics theory.

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Joint subcarrier and power allocation with proportional fairness in multicarrier nonorthogonal multiple access systems

Ding

2021

Int J Communication

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Summary In this paper, we investigate joint subcarrier and power allocation in multicarrier nonorthogonal multiple access (MC‐NOMA) systems aims to guarantee rate proportional fairness among all users. To this end, we adopt the sum logarithmic rate function as the objective and formulate a resource optimization problem which is a mixed‐integer nonlinear programming (MINLP) problem. Based on variable relaxation and replacement, we convert this problem into a convex optimization problem. On this basis, the expressions of joint subcarrier and power allocation solutions are obtained by using convex optimization theory and the Karush–Kuhn–Tucker (KKT) condition. However, power and subcarrier allocation solutions are highly coupled, and it is difficult to derive both solutions simultaneously. Fortunately, when the subcarrier allocation strategy is given, the optimal power allocation solution can be derived by solving the equations. Furthermore, we develop an iterative resource allocation algorithm to implement joint subcarrier and power allocation among users. Numerical results reveal that the proposed algorithm is effective in general multiuser and multicarrier scenarios, and a substantial performance improvement can be achieved by the proposed algorithm in contrast with the traditional orthogonal multiple access (OMA) schemes. In specific, the proposed algorithm achieves 63% and 59% gains in terms of utility and fairness performance, respectively.

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Maximizing Proportional Fairness in Wireless Powered Communications

Cited by 57 publications

References 15 publications

Sequencing and Scheduling for Multi-User Machine-Type Communication

Sequencing and Scheduling for Multi-User Machine-Type Communication

On the Fairness Performance of NOMA-Based Wireless Powered Communication Networks

Joint subcarrier and power allocation with proportional fairness in multicarrier nonorthogonal multiple access systems

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