Joint Power Allocation in Wireless Relay Networks: the Case of Hybrid Digital-Analog Transmission

Lu, Hancheng; Kong, Xinzhu; Jiang, Xiaoda; Chen, Baiyang

doi:10.1007/s11036-016-0735-3

Cited by 4 publications

(7 citation statements)

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“…In this case, digital-analog information split can be configured with the quantization rate, which is called rate allocation. This approach to achieve rate allocation for HDA transmission is common in theoretical fields [8], [15] and practical fields [9].…”

Section: Rate Allocationmentioning

confidence: 99%

“…Due to severely limited resources (i.e., bandwidth and power) and time-varying channel conditions in wireless networks, it is desirable to construct a robust system over a wide range of channel conditions. Recently, HDA transmission, which integrates both analog coding approach and digital coding approach, has attracted wide attention [3], [4], [5], [10], [14], [15], [26]. It has been proven that graceful degradation and robustness over varying SNR can be achieved in HDA systems for Gaussian channels.…”

Section: Related Workmentioning

confidence: 99%

“…Resource allocation especially power allocation has been investigated to achieve desired distortion performance in HDA systems [7], [13], [14], [15], [28]. In most existing HDA systems, power allocation is performed with the assumption that perfect CSI is available at the transmitter.…”

Section: Related Workmentioning

confidence: 99%

“…To achieve the balance between efficiency and robustness, hybrid digital-analog (HDA) transmission schemes have been proposed, with the capability to outperform digital and analog systems both in theoretical fields [3], [4], [5], [6], [7], [8] and for image/video applications [9], [10], [11], [12]. In HDA, as reconstructed signals consist of digital and analog components, resources (i.e., power and bandwidth) should be wisely assigned to digital and analog codes to achieve optimal performance in terms of distortion [7], [11], [13], [14], [15]. The authors in [13] constructed HDA schemes with various power allocation coefficients, and demonstrated the importance of power allocation on system distortion.…”

mentioning

confidence: 99%

“…Two vector quantization (VQ) based HDA schemes with bandwidth mismatch were proposed in [14], where power allocation was optimized for asymptotical distortion over additive white Gaussian noise (AWGN) channels. The authors in [15] implemented HDA transmission in wireless relay network, and proposed a joint power allocation scheme for both digitalanalog power allocation and source-relay power allocation. Apart from power allocation, He et al in [11] also took bandwidth allocation into consideration.…”

mentioning

confidence: 99%

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Joint Rate and Resource Allocation in Hybrid Digital–Analog Transmission Over Fading Channels

Jiang

2018

IEEE Trans. Veh. Technol.

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In hybrid digital-analog (HDA) systems, resource allocation has been utilized to achieve desired distortion performance. However, existing studies on this issue assume error-free digital transmission, which is not valid for fading channels. With time-varying channel fading, the exact channel state information is not available at the transmitter. Thus, random outage and resulting digital distortion cannot be ignored. Moreover, rate allocation should be considered in resource allocation, since it not only determines the amount of information for digital transmission and that for analog transmission, but also affects the outage probability. Based on above observations, in this paper, we attempt to perform joint rate and resource allocation strategies to optimize system distortion in HDA systems over fading channels. Consider a bandwidth expansion scenario where a memoryless Gaussian source is transmitted in an HDA system with the entropy-constrained scalar quantizer (ECSQ). Firstly, we formulate the joint allocation problem as an expected system distortion minimization problem where both analog and digital distortion are considered. Then, in the limit of low outage probability, we decompose the problem into two coupled sub-problems based on the block coordinate descent method, and propose an iterative gradient algorithm to approach the optimal solution. Furthermore, we extend our work to the multivariate Gaussian source scenario where a two-stage fast algorithm integrating rounding and greedy strategies is proposed to optimize the joint rate and resource allocation problem. Finally, simulation results demonstrate that the proposed algorithms can achieve up to 2.3dB gains in terms of signal-to-distortion ratio over existing schemes under the single Gaussian source scenario, and up to 3.5dB gains under the multivariate Gaussian source scenario.

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Section: Rate Allocationmentioning

confidence: 99%