Energy Efficiency of Cooperative Relaying over a Wireless Link

Abuzainab, Nof; Ephremides, Anthony

doi:10.1109/twc.2012.404012.110242

Cited by 27 publications

(17 citation statements)

References 14 publications

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“…In particular, the interactive relationship among nodes becomes more complicated with the increase of the number of nodes, and thus, the issue of relay management is more difficult to address. -Intuitively, maximizing energy efficiency would be mathematically equivalent to minimizing the total energy consumption [4,5] or the individual energy consumption [6,7], subject to a given quality of service (QoS) requirement. However, the former does not consider distributing energy cost to all nodes evenly or fairly, and then the network may suffer from connectivity failure.…”

Section: Motivation and Backgroundmentioning

confidence: 99%

Relay Management in Energy-aware Cooperative Ad Hoc Networks: A Perspective of Stochastic Game

et al. 2014

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Energy efficiency is a crucial requirement for energy-aware ad hoc networks. The efficient relay management, i.e., the joint issue of relay node selection and transmit power control, can be applied to reduce and balance energy consumption. In most existing works, however, the nodes are required to share the distributed information, e.g., the channel knowledge, the updates on relay node selection and power strategies, which incurs the frequent exchange of information. The requirement of significant communication overheads among nodes not only impede fully distributed solutions, but also disagrees with the energy-saving goal. In this work, we formulate the energy-efficient relay management problem as a discrete, stochastic game for a multi-source multi-relay ad hoc network. In the proposed game, each potential relay node is viewed as a player to search for the best action in the probability space with the incomplete distributed information. We investigate the achievable performance of the proposed game in terms of the existence of Nash equilibrium, its expression by using the support and programming methods, and its Pareto optimality. Moreover, we propose a low-complexity, distributed learning algorithm based on the linear reward-inaction procedure. The properties of convergence and learning rate of the algorithm are analyzed.

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Section: Motivation and Backgroundmentioning

confidence: 99%

Relay Management in Energy-aware Cooperative Ad Hoc Networks: A Perspective of Stochastic Game

et al. 2014

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“…Indeed, there has been little effort devoted to the one-way relaying scenario. Among the very few related works, Kao et al [37] in 2011 proposed an IEEE 802.11-compatible RANC ARQ protocol and evaluated its performance through simulation; while Abuzainab and Ephremides [38] in 2012 analyzed energy efficiency and minimum stable throughput, considering the use of RANC ARQ at the link layer on top of Alamounti coding at the physical layer. Nevertheless, the delay aspect of RANC protocols, particularly when nodes are not always saturated, has not been analyzed yet.…”

Section: Related Workmentioning

confidence: 99%

On RANC ARQ for Wireless Relay Networks: From the Transmission Perspective

Kao

Chen

2013

IEEE Trans. Wireless Commun.

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The relay-assisted, network-coding (RANC) automatic repeat request (ARQ) protocols are ARQ protocols that leverage both opportunistic retransmission and network coding for wireless relay networks. This paper proposes two single-relay RANC ARQ protocols, the listen-and-supersede (LS) protocol and the hold-and-proceed (HP) protocol. LS offers a fundamental limit to any single-relay RANC ARQ protocol. HP is a simple yet efficient RANC ARQ protocol with near-zero overhead. Moreover, we analyze saturation throughput and segment delay for both LS and HP. Their performances are compared with a representative cooperative ARQ protocol, the opportunistically forwarding (OF) protocol. Through extensive analysis and simulation results, we show that HP has a performance close to LS and outperforms OF significantly.Index Terms-Cooperative ARQ, opportunistic retransmission, network coding, queueing model, wireless network.

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“…Therefore, it is very important to reduce energy consumption of the wireless terminals and increase energy efficiency (EE) [1][2][3]. Recently, a lot of advanced wireless communication techniques, such as relay technique [4,5] and small cells [6], have been adopted to provide a significant capacity improvement and reduce the energy consumption. In order to further reduce the energy consumption, there is also a lot of research work focusing on the optimal power allocation [7,8].…”

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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Energy Efficiency of Cooperative Relaying over a Wireless Link

Cited by 27 publications

References 14 publications

Relay Management in Energy-aware Cooperative Ad Hoc Networks: A Perspective of Stochastic Game

Relay Management in Energy-aware Cooperative Ad Hoc Networks: A Perspective of Stochastic Game

On RANC ARQ for Wireless Relay Networks: From the Transmission Perspective

Adaptive wireless transmission strategy for maximizing energy efficiency

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