Joint QoS-promising and EE-balancing power allocation for two-way relay networks

Singh, Keshav; Ku, Meng‐Lin; Lin, Jia-Chin

doi:10.1109/pimrc.2015.7343587

Cited by 8 publications

(18 citation statements)

References 10 publications

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“…where (5) and (6), the achievable minimum (worst) sum rate for the 2k → (2k − 1) and (2k − 1) → 2k links on the (u, v) th subcarrier pair can be written as…”

Section: System Modelmentioning

confidence: 99%

“…Furthermore, the DF protocol also enables to deploy different channel coding schemes at the source and the relay nodes. Moreover, two-way relaying has been widely investigated to overcome the drawbacks of half-duplex relaying by utilizing the spectrum resources more efficiently [2]- [5]. In addition, multicarrier multiple access techniques that allow multiple users to share the same spectrum and avoid severe interference from other users, when combined with the relay transmission, can significantly improve the system performance, due to their flexibility in resource allocation and the ability to exploit multi-user diversity.…”

mentioning

confidence: 99%

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A Utility-Based Joint Subcarrier and Power Allocation for Green Communications in Multi-User Two-Way Regenerative Relay Networks

Singh

Gupta²,

Ratnarajah

2017

IEEE Trans. Commun.

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In this paper, we investigate utility-based joint subcarrier and power allocation algorithms for improving the energy efficiency (EE) in multi-user two-way regenerative relay networks. With the objective of determining the best subcarrier allocation for each user pair, subcarrier pairing permutation, and power allocation to all the nodes, a network price is introduced to the power consumption as a penalty for the achievable sum rate, followed by the examination of its impact on the trade-off between the EE and spectral efficiency (SE). The formulated optimization problem is a non-convex mixed-integer nonlinear programming problem, thus a concave lower bound on the objective function and a series of convex transformations are applied to transform the problem into a convex one. Through dual decomposition, we propose a utility-based resource allocation algorithm for iteratively tightening the lower bound and finding the optimal solution of the primal problem. By exploring the structure of the obtained optimal solution, an optimal price that enables green resource allocation is found from the perspective of maximizing EE. Additionally, a suboptimal algorithm is investigated to strike a balance between computational complexity and optimality. Simulation results evince the effectiveness of the proposed algorithms.

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“…where (5) and (6), the achievable minimum (worst) sum rate for the 2k → (2k − 1) and (2k − 1) → 2k links on the (u, v) th subcarrier pair can be written as…”

Section: System Modelmentioning

confidence: 99%

mentioning

confidence: 99%

A Utility-Based Joint Subcarrier and Power Allocation for Green Communications in Multi-User Two-Way Regenerative Relay Networks

Singh

Gupta²,

Ratnarajah

2017

IEEE Trans. Commun.

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“…This benefit is even more attractive in MIMO relay networks, in which decoding multiple data streams can be computationally strenuous, and thus we will focus on designing of the energyefficient AF scheme in this paper. Furthermore, the resource allocation in a relay network that maximizes the spectral efficiency (SE) while utilizing the minimum power and simultaneously maintaining the desired QoS becomes a challenging issue [8]. In brief, the main objective of this work is to study the problem of QoS-based joint subcarrier pairing, subcarrier and power allocation in multiuser interference networks for improving the energy utilization among users.…”

Section: Introductionmentioning

confidence: 99%

“…When the network EE is adopted as the objective function, the subcarrier pairing, subcarrier and power allocation schemes cannot be directly applied. In fact, there are only a few works that have considered the EE as a key metric for designing the optimal power allocation policies in relay networks [8], [20]- [26]. The optimal power allocation policy for multiuser two-way relay networks was studied in [8] while ensuring the QoS.…”

Section: Introductionmentioning

confidence: 99%

QoS-Driven Energy-Efficient Resource Allocation in Multiuser Amplify-and-Forward Relay Networks

Singh

Gupta²,

Ratnarajah

2017

IEEE Trans. on Signal and Inf. Process. over Networks

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“…In [13], authors studied maximizing aggregated EE utility while provisioning proportional fairness. The power allocation schemes to improve the EE in multiuser multi-carrier two-way relay networks have been designed in [14]. The issue of resource allocation problem in orthogonal frequency division multiple access (OFDMA) two-way relay networks has been considered in [15].…”

Section: Introductionmentioning

confidence: 99%

Adaptive wireless transmission strategy for maximizing energy efficiency

Cai

Qiu

Jiang

et al. 2017

J Wireless Com Network

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In a traditional wireless transmission system, studies about energy efficiency (EE) are usually for a fixed transmission mode. In this paper, we propose an adaptive wireless transmission (AWT) strategy with consideration of circuit power. In this AWT strategy, the transmission mode is switched between the direct transmission (DT) mode and the two-way relay transmission (TWRT) mode. The switch strategy is based on a transmission rate threshold R th which makes the EEs of the DT mode and the TWRT mode equal. Furthermore, we propose a transmission rate threshold determining (TRTD) algorithm with a bisection method to find the threshold R th . The simulation results also show that our AWT strategy has the maximum EE at a reasonable range of transmission rate.

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Joint QoS-promising and EE-balancing power allocation for two-way relay networks

Cited by 8 publications

References 10 publications

A Utility-Based Joint Subcarrier and Power Allocation for Green Communications in Multi-User Two-Way Regenerative Relay Networks

A Utility-Based Joint Subcarrier and Power Allocation for Green Communications in Multi-User Two-Way Regenerative Relay Networks

QoS-Driven Energy-Efficient Resource Allocation in Multiuser Amplify-and-Forward Relay Networks

Adaptive wireless transmission strategy for maximizing energy efficiency

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