Joint Multirelay Selection, Power Allocation, and Beamformer Design for Multiuser Decode-and-Forward Relay Networks

Lin, Jie; Li, Qiang; Jiang, Changxu; Shao, Huaizong

doi:10.1109/tvt.2015.2462117

Cited by 18 publications

(20 citation statements)

References 37 publications

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“…The partial augmented Lagrangian function of (P5) is given by (15), where c > 0 is the penalty factor, and α, β, Φ and Ψ are the associated Lagrangian multipliers. Dividing the variablesW,ȃ, U, F, x a and y into two blocks of {W,ȃ, F, y} and {U, x a }, we can employ the ADMM framework to solve (P5) iteratively, with global convergence guarantee [14].…”

Section: B Admm-based Algorithm For (P3)mentioning

confidence: 99%

“…To avoid directly handling a complicated stochastic optimization problem, we utilize the sample average approximation (SAA) method to approximate the expectation by a sample average [13]. Moreover, to solve the approximated problem efficiently, we further fit the problem into the alternating direction method of multipliers (ADMM) framework [14], [15]. Finally, a low-complexity distributed online algorithm is developed.…”

Section: Introductionmentioning

confidence: 99%

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An online algorithm for joint long-term base station activation and beamforming in green downlink MISO networks

Lin

Deng

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-In modern wireless networks, optimizing the association between base stations (BSs) and users effectively improves network performance. On the other hand, a frequently changing BS-user association renders considerable operational burden for network management, e.g., it consumes extra power to awaken the deactivated BSs and to support users' switching among BSs. This motivates us to balance the flexibility and stability of BS-user association, leading to a long-term BS association problem. In this paper, we address this by considering the green communication problem in a MISO network where multiple BSs cooperatively forward information to multiple users. We minimize total power consumption (including not only the transmit power and device maintenance power, but also the switching power consumed as the BS-user association changes) by joint long-term BS activation and beamforming, i.e., we jointly optimize the active BSs, the transmit beamformer and the user switching frequency among BSs. Due to the inherent causality constraints on channel state information (CSI), we develop an online algorithm for the optimization problem, utilizing the sample average approximation (SAA) method. To improve the algorithm's efficiency, we further fit the problem into the framework of alternating direction method of multipliers (ADMM), and finally design a low-complexity distributed online algorithm for the green communication problem.

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Section: B Admm-based Algorithm For (P3)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An online algorithm for joint long-term base station activation and beamforming in green downlink MISO networks

Lin

Deng

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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“…In [9], a hierarchical game based on the Stackelberg model with two sub-games is developed to address the resource allocation and bottleneck problems in heterogeneous relay networks. To provide fairness among users and alleviate the network backhaul load, the authors in [10], jointly optimize the power allocation at sources, the receive and transmit beamformers at relays, and the size of the cooperating relays. Simulation results show that the solution outperforms many existing multi-relay selection schemes and achieves performance very close to that of the exhaustive search scheme.…”

Section: Introductionmentioning

confidence: 99%

A Joint Power Allocation and User Association Based on Non-Cooperative Game Theory in an Heterogeneous Ultra-Dense Network

et al. 2019

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Driven by the increase of data traffic, a heterogeneous ultra-dense network (H-UDN) constitute one of the most promising techniques to support the 5G mobile system. Ultra-dense network (UDN) refers to the idea of densifying the cellular networks to reduce the distance between the access nodes and the user equipment (UE) to achieve the highest possible transmission rates and to enhance the quality of service (QoS). Despite these advantages, (H-UDN) introduces numerous challenges in terms of resource allocation. In this paper, we develop a joint power allocation and user association strategy in H-UDN using non-cooperative game theory. The proposed game is divided into two sub-games, the Backhaul Game is implemented between BS and RNs in the backhaul links and the Access Game is implemented between the BS/RNs and UEs in the access links. The leaders estimate the strategies of their followers to decide on their strategies. Therefore, our solution starts first by solving the users association in the access links to derive the optimal power strategies of the followers and then choosing their optimal power allocation strategies. Subsequently, the followers do the best response to the leaders' strategies. The simulation results show that our proposed algorithm can achieve the optimal power allocation and improve the performances of the system in term of throughput and UE rate compared to existing methods. INDEX TERMS Heterogeneous ultra-dense network, non cooperative game theory, power allocation, QoS, relay, user association.

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“…In [9], an improved version of ADMM is proposed for power minimization under SINR constraints in multi-cluster relay networks with single antenna nodes. In [10], max-min SINR optimization is studied for decode-and-forward (DF) relay networks with single antenna This work was supported in part by the Ministry of Science and Technology, Taiwan, under Grant MOST 106-2628-E-001-001-MY3.…”

Section: Introductionmentioning

confidence: 99%

Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks

Yetis

Chang

2019

IEEE Access

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In this paper, multi-stream transmission in interference networks aided by multiple amplify-and-forward (AF) relays in the presence of direct links is considered. The objective is to minimize the sum power of transmitters and relays by beamforming optimization under the stream signal-to-interference-plus-noise-ratio (SINR) constraints. For transmit beamforming optimization, the problem is a well-known non-convex quadratically constrained quadratic program (QCQP) that is NP-hard to solve. After semi-definite relaxation (SDR), the problem can be optimally solved via alternating direction method of multipliers (ADMM) algorithm for distributed implementation. Analytical and extensive numerical analyses demonstrate that the proposed ADMM solution converges to the optimal centralized solution. The convergence rate, computational complexity, and message exchange load of the proposed algorithm outperforms the existing solutions. Furthermore, by SINR approximation at the relay side, distributed joint transmit and relay beamforming optimization is also proposed that further improves the total power saving at the cost of increased complexity.Index Terms-Alternating direction method of multipliers (ADMM), distributed multi-stream beamforming, MIMO multi-relay interference networks with direct links, quality of service assurance.

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Joint Multirelay Selection, Power Allocation, and Beamformer Design for Multiuser Decode-and-Forward Relay Networks

Cited by 18 publications

References 37 publications

An online algorithm for joint long-term base station activation and beamforming in green downlink MISO networks

An online algorithm for joint long-term base station activation and beamforming in green downlink MISO networks

A Joint Power Allocation and User Association Based on Non-Cooperative Game Theory in an Heterogeneous Ultra-Dense Network

Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks

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