Joint Transmit Diversity Optimization and Relay Selection for Multi-Relay Cooperative MIMO Systems Using Discrete Stochastic Algorithms

Clarke, Patrick; Lamare, Rodrigo C. de

doi:10.1109/lcomm.2011.082611.102262

Cited by 51 publications

(43 citation statements)

References 7 publications

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“…where s d stands for the dth column of S. By substituting each column in S into (8) to search the most likely transmitted symbol vectorŝ[i] according to the ML detection, we can then calculate the optimal adjustable code matrix…”

Section: Dt-acmo Algorithm For Masmentioning

confidence: 99%

“…The idea behind cooperative relaying systems is to employ multiple relay nodes between the source node and the destination node to form a distributed antenna array, which can provide significant advantages in terms of diversity gains. Several cooperation strategies that exploit the links between relay nodes and the destination node such as amplifyand-forward (AF), decode-and-forward (DF), compressand-forward (CF) [1], and various distributed space-time coding (DSTC) schemes [2,3,8,9] have been extensively studied in the literature. A key problem that arises in cooperative MIMO systems and which degrades the performance of such systems is the existence of delays between the signals that are space-time coded at the relays and decoded at the destination.…”

Section: Introductionmentioning

confidence: 99%

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Delay-tolerant distributed space-time coding with feedback for cooperative MIMO relaying systems

Peng

Lamare

2018

J Wireless Com Network

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An adaptive delay-tolerant distributed space-time coding (DSTC) scheme equipped with a feedback channel is proposed for two-hop cooperative multiple-input multiple-output (MIMO) networks. A maximum likelihood receiver and adjustable code matrices subject to a power constraint with a decode-and-forward cooperation strategy are considered with different DSTC antenna configurations. In the proposed delay-tolerant DSTC schemes, an adjustable code matrix is employed to transform the space-time coded matrices at the relay nodes. Stochastic gradient and least squares algorithms are also developed with reduced computational complexity. The proposed algorithms are then extended to a cooperative MIMO system using amplify-and-forward strategy and opportunistic relaying algorithms in order to develop a delay-tolerant coding scheme combined with optimal relay selection strategies. An upper bound on the pairwise error probability and a rank criterion analysis are derived which indicate the advantage of the proposed algorithms. Simulation results show that the proposed algorithms obtain significant performance gains and address the delay issue in cooperative MIMO systems as compared to existing DSTC schemes.

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Section: Dt-acmo Algorithm For Masmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Delay-tolerant distributed space-time coding with feedback for cooperative MIMO relaying systems

Peng

Lamare

2018

J Wireless Com Network

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“…A single AF relay selection scheme with outage and bit error probability analysis is presented in [11]. Furthermore, some multi-relay selection work has been undertaken in [12][13][14]. For example, Zhang et al [12] formulates the joint relay selection and spectrum allocation problem for multi-user and multi-relay networks by using a bargaining game theoretic scheme.…”

Section: Introductionmentioning

confidence: 99%

“…Zhang and Lau [13] propose a multi-stream cooperative optimal DF relay selection protocol for cooperative systems with a multi-antenna destination node. A joint discrete stochastic optimisation-based transmit diversity selection and relay selection algorithm for decode-and-forward relay multiple-input multiple-output systems is proposed in [14].…”

Section: Introductionmentioning

confidence: 99%

Outage probability analysis for a cognitive amplify‐and‐forward relay network with single and multi‐relay selection

2013

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The authors evaluate the outage probability of a cognitive amplify-and-forward relay network with cooperation between certain secondary users, chosen by single and multi-relay (two and four) selection, based on the underlay approach, which requires adherence to an interference constraint on the primary user. The relay selection is performed either on the basis of a max-min strategy or one based on maximising exactly the end-to-end signal-to-noise ratio. To realise the relay selection schemes within the secondary networks, a predetermined threshold for the power of the received signal in the primary receiver is assumed. To assess the performance advantage of adding additional secondary relays, we obtain analytical expressions for the probability density function and cumulative density function of the received SNR and thereby provide closed form and near closed form expressions for outage probability over Rayleigh frequency flat fading channels. In particular, the authors present lower and upper bound expressions for outage probability and then provide a new exact expression for outage probability. These analytical results are verified by numerical simulation.

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“…The development of wireless sensor networks is motivated by many industrial and civilian application areas, such as environment, pollutants, medicine, vehicles, energy management, inventory control, home and building automation, homeland security and others [1][2][3][4][5][6][7][8][9][10]. Performance of WSN is measured and optimized based on various criteria, such as capacity, bit error rate, SNR, Cross-layer Optimal Scheduling, power requirements, security and robustness.…”

Section: Introductionmentioning

confidence: 99%

PSO for CWSN Using Adaptive Channel Estimation

Rahhal¹

2013

IJCNS

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Wireless Sensor Network (WSN) is used in various applications. A main performance factor for WSN is the battery life that depends on energy consumption on the sensor. To reduce the energy consumption, an energy efficient transmission technique is required. Cluster Wireless Sensor Network (CWSN) groups the sensors that have the best channel condition and form a MIMO system. This leads to enhancing the transmission and hence reducing energy consumed by the sensor. In CWSN systems multiple signals are combined at the transmitter and transmitted by using multiple antennas according to channel condition. CWSN requires a good estimation of the Channel State Information (CSI) to implement a powerful and efficient system. Channel Estimation technique should be used to better form the CWSN and make use of the MIMO features. Adaptive Channel Estimation (ACE) is used to enhance the BER performance of the CWSN by utilizing the retransmission feature devised in this paper and feeding the CSI obtained to further enhance the clustering algorithm. We use Particle Swarm Optimization (PSO) algorithm to find the optimal cluster members according to a fitness function that derived from the channel condition. Too many calculations and operations are required in exhaustive search algorithms to form the optimal cluster arrangement. It shows that optimal cluster formation can be implemented fast and efficiently by using the PSO.

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Joint Transmit Diversity Optimization and Relay Selection for Multi-Relay Cooperative MIMO Systems Using Discrete Stochastic Algorithms

Cited by 51 publications

References 7 publications

Delay-tolerant distributed space-time coding with feedback for cooperative MIMO relaying systems

Delay-tolerant distributed space-time coding with feedback for cooperative MIMO relaying systems

Outage probability analysis for a cognitive amplify‐and‐forward relay network with single and multi‐relay selection

PSO for CWSN Using Adaptive Channel Estimation

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