Cross-Layer Design for Relay Selection and Power Allocation Strategies in Cooperative Networks
ABSTRACT Summary form only given. In mobile relay networks, relay nodes in mobility generally have variable channel conditions and limited residual energy, which may affect the network performance. In this paper, we proposed a cross-layer design jointly incorporating best relay selection and power allocation strategies to increase the cooperative network lifetime while minimizing the overall power consumption. In this cross-layer design, the best relay node is selected based on the channel quality and nodespsila residual energy, and the power allocation strategy is to reduce overall power consumption of nodes so that network lifetime can be prolonged. Simulation results show that the proposed cross-layer algorithm can provide significant network performance improvement in terms of network lifetime and power consumption due to cooperative diversity and its consideration of nodes residual energy.
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ABSTRACT: We investigate the performance of the best-worse relay selection strategy in a two way cooperative non-regenerative relay network, where the relay is selected to maximize the worst Signal to Noise Ratio (SNR) of two links. In contrast to existing work, we aim to provide a theoretical performance analysis for this scheme under the more practical Nakagami channel. Closed-form expression of the probability density function for the SNRs of both two links is derived, based on which the outage probability of the best-worse relay selection is obtained. It is shown that the best-worse relay selection scheme achieves full diversity gain. Furthermore, the asymptotic packet error ratio with SNR increasing is also analyzed through rigorous derivations. The accuracy of our derivation is validated by computer simulations.Wireless Personal Communications 08/2013; 71(3). DOI:10.1007/s11277-012-0922-x · 0.98 Impact Factor
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ABSTRACT: In this paper, we consider a cooperative coding system based on the Distributed Turbo Product Codes DTPC with the extended Bose Chaudhuri Hocquenghem eBCH component codes. To deal with the unreliable decoding at the relay and enhance the overall decoding at the destination, we propose and study two techniques including soft information relaying and power allocation. First, at the relay, the Chase II algorithm and syndrome decoding are used to obtain the reliability values of the source data. This soft information is further exploited to generate new soft incremental redundancy for relaying. Second, to alleviate the error propagation, a method of power allocation between the source and relay is proposed. This method turns out to be very effective compared with the optimal solution from exhaustive search. The system performance in various conditions is presented and compared with extensive simulation.International Journal of Wireless and Mobile Computing 10/2013; 6(5):419-430. DOI:10.1504/IJWMC.2013.057386
Conference Paper: Power Allocation for Distributed Turbo Product Codes (DTPC).[Show abstract] [Hide abstract]
ABSTRACT: In this paper we investigate the effect of power allocation on the performance of the Distributed Turbo Product Code (DTPC) system. We study the error propagation on distributed coding systems when the relay makes erroneous decisions and present a simple power allocation method to alleviate the effect of relay decoding errors on the iterative decoding at the destination. We validate this method with results of an exhaustive search and compare its performance with the fixed power assignments for DTPC system with Decode and Forward (DF) and Soft Decode and Forward (SDF) relaying protocols. Compared to the fixed power assignment, the proposed method for power allocation shows a performance gain of 1.2dB at 10-4 Bit Error Rate (BER).Proceedings of the Global Communications Conference, 2010. GLOBECOM 2010, 6-10 December 2010, Miami, Florida, USA; 01/2010