Resource Allocation and Relay Selection for Collaborative Communications

Astaneh, Saeed Akhavan; Gazor, Saeed

doi:10.1109/twc.2009.12.090684

Cited by 12 publications

(7 citation statements)

References 27 publications

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“…In [31][32][33][34], the proper relay stations were selected to improve the performance of the multi-hop D2D network while simultaneously considering the co-channel interference. In [35], the authors presented a theoretical framework for multi-hop D2D communications, which enables modeling of interference and performance analysis.…”

Section: Related Workmentioning

confidence: 99%

Joint Relay Selection and Resource Allocation for Energy-Efficient D2D Cooperative Communications Using Matching Theory

Feng

Huang

et al. 2017

Applied Sciences

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Device-to-device (D2D) cooperative relay can improve network coverage and throughput by assisting users with inferior channel conditions to implement multi-hop transmissions. Due to the limited battery capacity of handheld equipment, energy efficiency is an important issue to be optimized. Considering the two-hop D2D relay communication scenario, this paper focuses on how to maximize the energy efficiency while guaranteeing the quality of service (QoS) requirements of both cellular and D2D links by jointly optimizing relay selection, spectrum allocation and power control. Since the four-dimensional matching involved in the joint optimization problem is NP-hard, a pricing-based two-stage matching algorithm is proposed to reduce dimensionality and provide a tractable solution. In the first stage, the spectrum resources reused by relay-to-receiver links are determined by a two-dimensional matching. Then, a three-dimensional matching is conducted to match users, relays and the spectrum resources reused by transmitter-to-relay links. In the process of preference establishment of the second stage, the optimal transmit power is solved to guarantee that the D2D link has the maximized energy efficiency. Simulation results show that the proposed algorithm not only has a good performance on energy efficiency, but also enhances the average number of served users compared to the case without any relay.

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Section: Related Workmentioning

confidence: 99%

Joint Relay Selection and Resource Allocation for Energy-Efficient D2D Cooperative Communications Using Matching Theory

Feng

Huang

et al. 2017

Applied Sciences

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“…This ratio represents the achievable sum rate improvement of these protocols. In [11], we have derived tight upper and lower bounds and studied the asymptotic behavior of the collaboration gain at low and high TERN and rate ratio. We have also shown that the maximum collaboration gain of…”

Section: Rate Improvement For Given Resource and Energymentioning

confidence: 99%

“…In [11] we have shown that optimization problem (6) is the dual of (3) and (4). This means that under similar channel gains, the TERN collaboration gain (i.e., the ratio of TERN in NCP to that of collaborative one CP CP ) obtained from (6) is the same as the rate collaboration gain from (3) and (4).…”

Section: Energy Saving For Given Capacity and Resourcementioning

confidence: 99%

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Collaborative communications: Joint relay and protocol selection

Astaneh

Gazor

2009

2009 11th Canadian Workshop on Information Theory

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We consider a decode and forward collaborative network and investigate the relay selection problem. Users are able to collaborate with each other; decode messages of each other, re-encode and forward along with their own messages to the destination (collaborative protocol). We study the performance obtained from collaboration in terms of 1) increasing the achievable rate, 2) saving the transmit energy, and 3) reducing the resource requirement. To ensure fairness among the users, we assume that the transmit energy to the rate ratio is fixed for all users. We allocate resource optimally for the proposed collaborative protocol (CP) with the imposed fairness constraint, and compare the result with the non-collaborative protocol (NCP) where users transmits their messages directly to the destination. We show that a considerable gain can be obtained if the direct source-destination channel gain is significantly smaller than those of alternative involved links. We demonstrate that a rate and energy improvement of up to 1 + η k k+1 η can be obtained, where η is the environment path loss exponent and k is the ratio of the rates of involved users. The maximum gain can be obtained for low transmit-energy-to-received-noise-ratio (TERN). In contrast, in a high TERN environment the NCP is preferred.

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“…However, to design an efficient cooperative relay mechanism is considered to be challenging. As spectrum and energy are the natural resources in all the wireless communication systems [4], the relay nodes (RNs) may compete for the limited spectrum resources [5] considering their own benefit because of their selfishness [6]. Thus, the RNs may be unwilling to offer their relay help without any extra incentives.…”

Section: Introductionmentioning

confidence: 99%

Optimal Contract Design for Cooperative Relay Incentive Mechanism under Moral Hazard

Zhao

Xiong

et al. 2015

Journal of Electrical and Computer Engineering

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Cooperative relay can effectively improve spectrum efficiency by exploiting the spatial diversity in the wireless networks. However, wireless nodes may acquire different network information with various users’ location and mobility, channels’ conditions, and other factors, which results in asymmetric information between the source and the relay nodes (RNs). In this paper, the relay incentive mechanism between relay nodes and the source is investigated under the asymmetric information. By modelling multiuser cooperative relay as a labour market, a contract model with moral hazard for relay incentive is proposed. To effectively incentivize the potential RNs to participate in cooperative relay, the optimization problems are formulated to maximize the source’s utility while meeting the feasible conditions under both symmetric and asymmetric information scenarios. Numerical simulation results demonstrate the effectiveness of the proposed contract design scheme for cooperative relay.

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Resource Allocation and Relay Selection for Collaborative Communications

Cited by 12 publications

References 27 publications

Joint Relay Selection and Resource Allocation for Energy-Efficient D2D Cooperative Communications Using Matching Theory

Joint Relay Selection and Resource Allocation for Energy-Efficient D2D Cooperative Communications Using Matching Theory

Collaborative communications: Joint relay and protocol selection

Optimal Contract Design for Cooperative Relay Incentive Mechanism under Moral Hazard

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