A novel LMS-BLM algorithm for AF relays based cooperative wireless networks

Gatera, Omar; İlhan, Hacı; Kayran, A.H.

doi:10.1016/j.aeue.2016.08.011

Cited by 6 publications

(2 citation statements)

References 23 publications

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“…The methodology is obtained from a tri-linear tensor model for the received signal that combines the source-destination and relaydestination links. In [24][25][26][27], a wireless communication scheme has been considered with multiple source-destination pairs communicating through several cooperative AF relay terminals equipped with multiple antennas. In [28][29][30][31][32][33][34][35][36][37][38], the effect of channel state information feedback on outage analysis in multiuser cooperative communication system is studied.…”

Section: Introductionmentioning

confidence: 99%

A novel modified genetic algorithm for cooperative multiuser detection with minimum transmitter power and SINR constraint

Zahedi

2019

SN Appl. Sci.

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An efficient solution to prevent multiple access interference and reduce transmitter power in cellular communication systems is cooperative communications. In multiuser cooperative communications, the users transmit their signals to the receivers through multiple relay nodes. Simultaneous optimum detection of multiuser signals considering the constraints of transmitter power and SINR satisfaction is the main challenge of these systems. As known, the optimum detector in multiuser communications is maximum likelihood (ML) detector but it is not applicable because of computational complexity. In this paper, to detect the desired transmitted signal in receivers, the problem of optimum multiuser detection is optimized using Lagrange multipliers and due to complexity of the resulted output, modified dimension-reduction genetic algorithm is applied based on dividing the problem with large number of parameters (users) into several simpler problems with less number of parameters (users). The main idea is the selection of more critical parameters in first-round optimization. The optimization is done subjected to two constraints as SINR and minimum transmitter power to guarantee the quality of service (QoS) in the cooperative communication system. Simulation results show that our proposed algorithm's performance is near the optimum ML detector and it is more efficient in comparison to other well-known sub-optimum algorithms in the literature with satisfying the QoS of the system.

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Section: Introductionmentioning

confidence: 99%

A novel modified genetic algorithm for cooperative multiuser detection with minimum transmitter power and SINR constraint

Zahedi

2019

SN Appl. Sci.

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“…Cooperative comunication has recently attracted method to improve the performace [1][2][3][4][5][6][7]. In multi-hop cooperative communications, the source transmits signal to relays that forward signal to the destination or other relays.…”

Section: Introductionmentioning

confidence: 99%

The Optimal Power Allocation with Hybrid Relaying Based on Channel Condition

Jeon¹,

Shim²,

Park³

2018

Preprint

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This paper considers a hybrid relay network consisting of the source, the amplify-and-forward (AF) relay, the decode-and-forward (DF) relay, and the destination. We propose the optimal power allocation schemes between two different relays which maximize the achievable rate under a sum relay power constraint for given channel gains and transmit power from source. By solving the optimization problem to maximize the achievable rate for each relay network, the 5 transmit power values in closed-form are derived. When the channel gains are the same, the optimal power allocation scheme for AF-DF relay network proves that a more power should be allocated at the first relay to maximize the achievable rate. In case of the DF-AF relay network, we derive the optimal power allocation scheme for the possible four cases. Under the same SNR condition at the first hop, we show that the achievable rate of AF-DF relay network is greater than that of DF-AF relay 10 network when the channel gain between two relays is higher than that between the second relay and destination. Simulation results show that the proposed power allocation schemes provide a higher achievable rate than the equal power allocation schemes.

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Coefficient-Gradient-Based Individualized Stepsize Adaptation Mechanism for Robust System Identification

Mohamed-Kazim

Abdel‐Qader

2021

Circuits Syst Signal Process

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A novel LMS-BLM algorithm for AF relays based cooperative wireless networks

Cited by 6 publications

References 23 publications

A novel modified genetic algorithm for cooperative multiuser detection with minimum transmitter power and SINR constraint

A novel modified genetic algorithm for cooperative multiuser detection with minimum transmitter power and SINR constraint

The Optimal Power Allocation with Hybrid Relaying Based on Channel Condition

Coefficient-Gradient-Based Individualized Stepsize Adaptation Mechanism for Robust System Identification

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