A graph-based approach for relay selection and resource allocation in cognitive two-way relay networks

Alizadeh, Ardalan; Forouzan, Nafiseh; Ghorashi, Seyed Ali; Sadough, Seyed Mohammad Sajad

doi:10.1109/wiad.2011.5983294

Cited by 9 publications

(14 citation statements)

References 11 publications

(10 reference statements)

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“…In [36], the authors proposed a novel routing protocol for underwater sensor networks (UWSNs), which was named the location-aware routing protocol (LARP) and could improve packet delivery ratio and reduce normalized routing overhead. In [37], the authors modeled the problems of relay selection and channel allocation as a classical weighted bipartite graph matching problem and solved it by using the Hungarian algorithm. In [38], a novel quantum particle swarm optimization-based relay selection scheme was proposed to maximize the system throughput of the cooperative relay networks and reduce the computational complexity compared with the exhaustive search.…”

Section: Related Workmentioning

confidence: 99%

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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%

“…The above works mainly focus on how to maximize the throughput of the system through relay selection with the presence of interference. In particularly, the channel allocation problem was also considered in [37].…”

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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“…We assume the source precoding matrix G is known at the relay. With this assumption, our optimization problem reduces to finding the relay precoding matrix, F in (7), subject to (11) and (14). We can rewrite (7) as…”

Section: Relay Precoder Designmentioning

confidence: 99%

“…multi-relay beamforming for CR systems is studied in [13]. In [14], power and resource allocation for a multi-relay overlay cognitive system is investigated. In [15] and [16], considering an amplify-and-forward (AF) relaying underlay CR system, joint relay selection and power allocation are proposed to achieve the maximum throughput for the CR system subject to power constraints at the CR source and relay nodes, and considering reasonably low interference imposed by the secondary system to the primary system.…”

Section: Introductionmentioning

confidence: 99%

Iterative Source and Relay Precoder Design for Non-Regenerative MIMO Cognitive Relay Systems

Budhathoki

Maleki

Bahrami

2015

IEEE Trans. Commun.

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The problem of joint precoder design for the source and relay nodes of a cooperative cognitive radio (CR) system is investigated. We consider a non-regenerative relaying secondary CR system with underlay spectrum sharing methodology with the primary users. Based on an expression for the achievable throughput of secondary system, we develop an optimization problem to maximize the throughput subject to power constraints at the secondary source and relay, and an interference power constraint at the primary due to secondary source and relay transmission. First, we derive the structure of each of the relay and source precoding matrices separately assuming the other is known. Then, we propose an iterative technique to jointly design the source and relay precoding matrices. The results are also extended to the case where the direct sourcedestination link is available. Through simulation, we demonstrate the effectiveness of our proposed approach in improving the achievable throughput, and compare its performance with that of numerical optimization, source only precoding, relay only precoding, and a naive amplify-and-forward method.Index Terms-Cognitive radio (CR); multi-input multi-output (MIMO); non-regenerative relaying; achievable throughput; precoder design 0090-6778 (c)

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“…This considerable achieved gain can be used to increase coverage area, and provide a new way to enhance LTE-Advanced systems by deploying type 1 relays. More advanced deployments of the relays such as cognitive relays [227], self-organising relays [228,229] coordinated/cooperative relay systems [230][231][232][233], and opportunistic relaying [234] have been studied and are expected to be used in future mobile communications networks.…”

Section: Technical Aspectsmentioning

confidence: 99%

LTE-Advanced Radio Access Enhancements: A Survey

Dehghani

Arshad

MacKenzie

2014

Wireless Pers Commun

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Long Term Evolution Advanced (LTE-Advanced) is the next step in LTE evolution and allows operators to improve network performance and service capabilities through smooth deployment of new techniques and technologies. LTE-Advanced uses some new features on top of the existing LTE standards to provide better user experience and higher throughputs. Some of the most significant features introduced in LTE-Advanced are carrier aggregation, enhancements in heterogeneous networks, coordinated multipoint transmission and reception, enhanced Multiple Input Multiple Output (MIMO) usage and deployment of relay nodes in the radio network. Mentioned features are mainly aimed to enhance the radio access part of the cellular networks. This survey article presents an overview of the key radio access features and functionalities of the LTE-Advanced radio access network, supported by the simulation results. We also provide a detailed review of the literature together with a very rich list of the references for each of the features. An LTE-Advanced roadmap and the latest updates and trends in LTE markets are also presented.

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A graph-based approach for relay selection and resource allocation in cognitive two-way relay networks

Cited by 9 publications

References 11 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

Iterative Source and Relay Precoder Design for Non-Regenerative MIMO Cognitive Relay Systems

LTE-Advanced Radio Access Enhancements: A Survey

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