Resource Allocation and Admission Control for an Energy Harvesting Cooperative OFDMA Network

Wang, Fei; Guo, Songtao; Xiao, Bin; Yang, Yuanyuan; Zhang, Xi

doi:10.1109/tvt.2018.2789378

Cited by 11 publications

(6 citation statements)

References 44 publications

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“…However, considering a multi-user scenario will be more practical and none of the above works have considered a multi-user pair scenario employing SWIPT protocol. In contrast to a single carrier transmissions, SWIPT was recently introduced with the well-established benefits of multi-carrier transmissions [18], [19]. Further, with the advancement of the automotive industry, we are currently moving towards the development of smart vehicles that will be safer, efficient, economical and greener, giving rise to intelligent transportation systems (ITS).…”

Section: A Related Workmentioning

confidence: 99%

“…Moreover, many recent works have studied multi-user multirelay scenario in ITS networks. Moreover, the works [9]- [19] did not consider a multi-carrier multi-user multi-relay scenario from the EE perspective with EHTS protocol, to the best of authors' knowledge. Therefore, the proposed multicarrier model will bring additional advantages to the multi-user multi-relay network, but with additional challenges of resource allocation.…”

Section: A Related Workmentioning

confidence: 99%

“…However, multi-user, multi-carrier, AF relay network faces major difficulties such as the multi-relay selection strategy and allocation of the selected relays to user pairs and subcarriers, because of the exponential possible combinations for joint subcarrier pairing along with user allocation and multi-relay selection. In contrast to [18] and [19], we consider AF relaying in this work, herein we consider a multicarrier based multi-user multi-relay networks. Therefore, the interference management and noise amplification are required to be addressed by the optimal resource allocation policy.…”

Section: B Motivation and Contributionsmentioning

confidence: 99%

“…We now analyse the performance comparison with varying relay static power dissipation, with K = 2, J = 3, Nsc = 8, P Q = 0.6, 10.1 mW. To model the high static power dissipation P Q at relay nodes, we introduce an initially charged battery [19] at the relay nodes to satisfy the energy causality constraint (C.5), such that only 0.1 mW of static power (apart from the required relay transmission power) is needed to be harvested. As expected, we can clearly see that the SE and EE performance of the network saturates when the power budget becomes high P max ≥ 15 dBm due to SE-EE trade-off.…”

Section: Effect Of Static Power Dissipationmentioning

confidence: 99%

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Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Gupta

Singh

Sellathurai

2019

IEEE Trans. on Green Commun. Netw.

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In this paper, an energy efficiency maximization (EEM) optimization problem for the multiuser multicarrier energy-constrained amplify-and-forward (AF) multi-relay network is formulated under the total source transmit power budget and energy-causality constraints. We consider that each relay node is solely powered by the source nodes, employing energy harvesting time-switching (EHTS) protocol to harvest the energy through the ambient radio-frequency (RF) signal transmitted from the source nodes under the simultaneous wireless information and power transfer (SWIPT) paradigm. First, we propose a subcarrier and energy causality-based multi-relay selection policy. Second, we jointly optimize the parameters that control the energy efficiency (EE) of the system namely multi-relay selection, subcarrier pairing, user allocation, power allocation, and RF EHTS time block, that renders the problem to be a mixed integer non-linear programming problem (MINLP) which remains NP-hard to solve. Hence, we remodel the problem to a tractable quasi-concave form by applying a string of convex transformations. Later, we propose an iterative EEM algorithm to optimize the multi-parameter problem. Further, a suboptimal and best relay selection algorithm is studied by trading-off between complexity and performance. The effectiveness of the proposed algorithms is demonstrated by simulation results.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Section: B Motivation and Contributionsmentioning

confidence: 99%

Section: Effect Of Static Power Dissipationmentioning

confidence: 99%

See 2 more Smart Citations

Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Gupta

Singh

Sellathurai

2019

IEEE Trans. on Green Commun. Netw.

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“…With an application of decomposition, a closed-form solution for admission control optimization problem was given for device-to-device system in [21]. The authors in [22] investigated the admission control problem of energy harvesting OFDMA system by combining fuzzy logic theory. However, the recent work paid more attention on the admission control problems of OFDMA systems.…”

Section: Introductionmentioning

confidence: 99%

Admission Control and Power Allocation for NOMA-Based Satellite Multi-Beam Network

et al. 2020

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This paper investigates the admission control problem on the satellite multi-beam networks with non-orthogonal multiple access (NOMA). The goal is to maximize the number of supported users on the premise of ensuring the quality of service (QoS) by optimizing the subchannel and power allocation. We provide the system model and then formulate the admission control problem as a mixed integer non-convex optimization problem. The non-convexity and existence of integer variable make the optimal solution difficult to get. Therefore, we propose a joint subchannel matching and power allocation algorithm to obtain the suboptimal solution so as to reduce the computation complexity. The proposed algorithm can be used for both NOMA and orthogonal frequency division multiplexing access (OFDMA). Specifically, the subchannel matching problem is solved by a two-stage matching process where users are accessed to subchannel dynamically. The power allocation problem is modeled as a super-modular game where the existence and uniqueness of Nash equilibrium (NE) are analyzed. Moreover, an iterative power allocation algorithm is proposed based on the NE searching method. Finally, simulation results are provided for demonstrating the effectiveness and feasibility of the proposed algorithm. INDEX TERMS Admission control, matching theory, multi-beam satellite system, non-orthogonal multiple access, subchannel, power allocation.

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Energy Efficiency Analysis of Bidirectional Wireless Information and Power Transfer for Cooperative Sensor Networks

et al. 2019

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Resource Allocation and Admission Control for an Energy Harvesting Cooperative OFDMA Network

Cited by 11 publications

References 44 publications

Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Admission Control and Power Allocation for NOMA-Based Satellite Multi-Beam Network

Energy Efficiency Analysis of Bidirectional Wireless Information and Power Transfer for Cooperative Sensor Networks

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