Power Allocation for the Fading Relay Channel with Limited Feedback

Liu, Y.; Chen, W.; Zhang, J.; Zhi, Luo

doi:10.1109/icc.2010.5501901

Cited by 6 publications

(7 citation statements)

References 25 publications

(21 reference statements)

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“…The authors also determine the minimum number of CSI bits that are required to outperform a non-cooperative network. The authors of [12] design quantization codebooks for the transmit power vectors in a single-relay network with DF. For the design, however, they adopt the Lloyd algorithm with Euclidian-distance as the design metric.…”

Section: Introductionmentioning

confidence: 99%

Quantization and Bit Allocation for Channel State Feedback in Relay-Assisted Wireless Networks

Karamad

Khoshnevis

Adve

2013

IEEE Trans. Signal Process.

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This paper investigates quantization of channel state information (CSI) and bit allocation across wireless links in a multi-source, single-relay cooperative cellular network. Our goal is to minimize the loss in performance, measured as the achievable sum rate, due to limited-rate quantization of CSI.We develop both a channel quantization scheme and allocation of limited feedback bits to the various wireless links. We assume that the quantized CSI is reported to a central node responsible for optimal resource allocation. We first derive tight lower and upper bounds on the difference in rates between the perfect CSI and quantized CSI scenarios. These bounds are then used to derive an effective quantizer for arbitrary channel distributions. Next, we use these bounds to optimize the allocation of bits across the links subject to a budget on total available quantization bits. In particular, we show that the optimal bit allocation algorithm allocates more bits to those links in the network that contribute the most to the sum-rate. Finally, the paper investigates the choice of the central node; we show that this choice plays a significant role in CSI bits required to achieve a target performance level.

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Section: Introductionmentioning

confidence: 99%

Quantization and Bit Allocation for Channel State Feedback in Relay-Assisted Wireless Networks

Karamad

Khoshnevis

Adve

2013

IEEE Trans. Signal Process.

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“…Therefore, reference [10] optimizes not only the power allocation but also time allocation for DF relay strategy to minimize the outage probability. The perfect channel state information (CSI) at the source is impractical, thus it is reasonable to study the resource allocation problem with limited feedback [11].…”

Section: Related Workmentioning

confidence: 99%

“…References [8][9][10][11] consider the scenario with one BS, one relay and one user. Reference [8] jointly optimizes the subcarrier pairing and power allocation, and a mixed-integer programming problem is formulated.…”

Section: Related Workmentioning

confidence: 99%

Linear Processing Design of Amplify-and-Forward Relays for Maximizing the System Throughput

Wang

Chen

Lan

2018

Journal of Electrical and Computer Engineering

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In this paper, firstly, we study the linear processing of amplify-and-forward (AF) relays for the multiple relays multiple users scenario. We regard all relays as one special "relay", and then the subcarrier pairing, relay selection and channel assignment can be seen as a linear processing of the special "relay". Under fixed power allocation, the linear processing of AF relays can be regarded as a permutation matrix. Employing the partitioned matrix, we propose an optimal linear processing design for AF relays to find the optimal permutation matrix based on the sorting of the received SNR over the subcarriers from BS to relays and from relays to users, respectively. Then, we prove the optimality of the proposed linear processing scheme. Through the proposed linear processing scheme, we can obtain the optimal subcarrier paring, relay selection and channel assignment under given power allocation in polynomial time. Finally, we propose an iterative algorithm based on the proposed linear processing scheme and Lagrange dual domain method to jointly optimize the joint optimization problem involving the subcarrier paring, relay selection, channel assignment and power allocation. Simulation results illustrate that the proposed algorithm can achieve a perfect performance.

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“…It has been widely discussed in the context of both single-carrier and multi-carrier relaying channels [5]- [12]. We have proposed limited feedback based power allocation algorithms for a single-carrier relaying channel and a multi-carrier based relaying model in [5] and [6] respectively. In [7], Ahmed et al propose a power control algorithm for AF relaying with limited feedback.…”

mentioning

confidence: 99%

“…Power allocation is always critical in wireless networks due to the limited budget of transmit power. It has been widely discussed in the context of both single-carrier and multi-carrier relaying channels [5]- [12]. We have proposed limited feedback based power allocation algorithms for a single-carrier relaying channel and a multi-carrier based relaying model in [5] and [6] respectively.…”

mentioning

confidence: 99%

Limited-Feedback-Based Adaptive Power Allocation and Subcarrier Pairing for OFDM DF Relay Networks With Diversity

Liu

Chen

2012

IEEE Trans. Veh. Technol.

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A limited feedback based dynamic resource allocation algorithm is proposed for a relay cooperative network with Orthogonal Frequency Division Multiplexing (OFDM) modulation. A communication model where one source node communicates with one destination node assisted by one halfduplex Decode-and-Foward (DF) relay is considered in this paper. We first consider the selective DF scheme, in which some relay subcarriers will keep idle if they are not advantageous to forward the received symbols. Furthermore, we consider the enhanced DF scheme where the idle subcarriers are used to transmit new messages at the source. We aim to maximize the system instantaneous rate by jointly optimizing power allocation and subcarrier pairing on each subcarrier based on the Lloyd algorithm. Both sum and individual power constraints are considered. The joint optimization turns out to be a mixed integer programming problem. We then transform it into a convex optimization by continuous relaxation, and achieve the solution in the dual domain. The performance of the proposed joint resource allocation algorithm is verified by simulations. We find that the proposed scheme outperforms the existing methods in various channel conditions. We also observe that only a few feedback bits can achieve most of the performance gain of the perfect CSI based resource allocation algorithm at different levels of SNR.

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Power Allocation for the Fading Relay Channel with Limited Feedback

Cited by 6 publications

References 25 publications

Quantization and Bit Allocation for Channel State Feedback in Relay-Assisted Wireless Networks

Quantization and Bit Allocation for Channel State Feedback in Relay-Assisted Wireless Networks

Linear Processing Design of Amplify-and-Forward Relays for Maximizing the System Throughput

Limited-Feedback-Based Adaptive Power Allocation and Subcarrier Pairing for OFDM DF Relay Networks With Diversity

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