Resource Allocation for FDMA-Based Regenerative Multihop Links

Dohler, Mischa; Gkelias, Athanasios; Aghvami, Hamid

doi:10.1109/twc.2004.838406

Cited by 56 publications

(46 citation statements)

References 8 publications

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“…Distributed power allocation strategies for decode-and-forward cooperative systems are investigated in [8]. Power allocation in three-node models are discussed in [9] and [10], while multi-hop relay networks are studied in [11][12][13]. Recent works also discuss relay selection algorithms for networks with multiple relays, which result in power efficient transmission strategies.…”

Section: Introductionmentioning

confidence: 99%

Power allocations in minimum-energy SER-constrained cooperative networks

2009

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In this paper, we propose minimum power allocation strategies for repetition-based amplifyand-forward (AF) relaying, given a required symbol error rate (SER) at the destination. We consider the scenario where one source and multiple relays cooperate to transmit messages to the destination.We derive the optimal power allocation strategy for two-hop AF cooperative network that minimizes the total relay power subject to the SER requirement at the destination. Two outstanding features of the proposed schemes are that the power coefficients have a simple solution and are independent of knowledge of instantaneous channel state information (CSI). We further extend the SER constraint minimum power allocation to the case of multi-branch, multihop network, and derive the closedform solution for the power control coefficients. For the case of power-limited relays, we propose two iterative algorithms to find the power coefficients for the SER constraint minimum-energy cooperative networks. However, these power minimization strategy does not necessarily maximize the lifetime of battery-limited systems. Thus, we propose two other AF cooperative schemes which consider the residual battery energy, as well as the statistical CSI, for the purpose of lifetime maximization. Simulations show that the proposed minimum power allocation strategies could considerably save the total transmitted power compared to the equal transmit power scheme.

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Section: Introductionmentioning

confidence: 99%

Power allocations in minimum-energy SER-constrained cooperative networks

2009

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“…To improve the performance of relay systems, the optimum resource allocation has been studied for both the coherent and noncoherent systems [2], [4], [9], [11], [13]. These works deal with the power allocation based on various protocols (amplifyand-forward (AF), decode-and-forward (DF), and STC-based) and different levels of CSI (full or partial CSI).…”

Section: Introductionmentioning

confidence: 99%

Optimum Resource Allocation for Amplify-and-Forward Relay Networks With Differential Modulation

Cho

Cao

Yang

2008

IEEE Trans. Signal Process.

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Abstract-The optimum resource allocation is an important method to improve the error performance and energy efficiency of wireless relay networks. In this paper, we consider the resource allocation as a two-dimensional optimization problem; that is, the energy optimization and the location optimization. Differential modulation which bypasses the channel estimation at the receiver is investigated using the amplify-and-forward protocol for a relay system with arbitrary number of relays. At high signal-to-noise ratio (SNR), we first derive the average symbol error rate for systems with and without a direct link. Then, the optimum resource allocation schemes which minimize the system error are developed. The comparisons based on analytical and simulated results confirm that the optimized systems provide considerable improvement over unoptimized ones, and that the minimum error can be achieved via the joint energy-location optimization.

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“…The second layer of LD code is then generated by the cooperative nodes with the second set of dispersion matrices using the received signals. The power allocated to each node and communication link is also an important design parameter in the performance of the cooperative diversity system [6]. For cooperative diversity systems using LD code, an explicit analytical expression for the block error rate (BLER) does not exist, and therefore deterministic optimization techniques cannot be used.…”

Section: Introductionmentioning

confidence: 99%

Minimum Error Rate Linear Dispersion Codes for Cooperative Relays

Liang

Berenguer

Wang

2006

2006 IEEE International Conference on Communications

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Abstract-Cooperative diversity systems have been recently proposed as a solution to provide spatial diversity for terminals where multiple antennas are not feasible to be implemented. As in MIMO systems, space-time codes can be used to efficiently exploit the increase in capacity provided in cooperative diversity systems. In this paper we propose a two-layer linear dispersion (LD) code for cooperative diversity systems and derive a simulation-based optimization algorithm to optimize the LD code and power allocation in terms of block error rate. The proposed code design paradigm can obtain optimal codes under arbitrary fading statistics. The effect that distances between source, relays, and destination terminals have on the energy allocation between the broadcast and cooperative intervals is also studied.

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Resource Allocation for FDMA-Based Regenerative Multihop Links

Cited by 56 publications

References 8 publications

Power allocations in minimum-energy SER-constrained cooperative networks

Power allocations in minimum-energy SER-constrained cooperative networks

Optimum Resource Allocation for Amplify-and-Forward Relay Networks With Differential Modulation

Minimum Error Rate Linear Dispersion Codes for Cooperative Relays

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