Optimal Layered Transmission Over Quasi-Static Fading Channels

Etemadi, F.; Jafarkhani, Hamid

doi:10.1109/isit.2006.261888

Cited by 24 publications

(11 citation statements)

References 9 publications

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“…This algorithm, however, does not directly yield the optimal energy allocation when the fading states are discrete and pre-specified, nor does it give a closed-form solution for the continuous case. Etemadi et al also considered this problem in [3], and provided an iterative algorithm by separating the optimization problem into two sub-problems. However, explicit modulation schemes are not considered in their optimization algorithm.…”

Section: Previous Workmentioning

confidence: 99%

“…This results with the expense of a much reduced number and quality of video channels that can be jointly provisioned, which certainly leads to a poor economic scale. To tackle such multi-user channel diversity problem, efficient and robust cross-layer architectures for scalable wireless video broadcast/multicast are recently emerged [1][2][3][4][5][6][7][8][9][10][11], which will be described in the following section. Among these skillfully engineered cross-layer architectures, multi-resolution modulated broadcast/multicast radio signals are commonly generated through hierarchical/superposition coded modulation at the channel.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Energy and Modulation Selection in Multi-Resolution Modulation For Wireless Video Broadcast/Multicast

She

Shihada

2010

Access Networks

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Abstract. Emerging technologies in Broadband Wireless Access (BWA) networks and video coding have enabled high-quality wireless video broadcast/multicast services in metropolitan areas. Joint source-channel coded wireless transmission, especially using hierarchical/superposition coded modulation at the channel, is recognized as an effective and scalable approach to increase the system scalability while tackling the multiuser channel diversity problem. The power allocation and modulation selection problem, however, is subject to a high computational complexity due to the nonlinear formulation and huge solution space. This paper introduces a dynamic programming framework with conditioned parsing, which significantly reduces the search space. The optimized result is further verified with experiments using real video content. The proposed approach effectively serves as a generalized and practical optimization framework that can gauge and optimize a scalable wireless video broadcast/multicast based on multi-resolution modulation in any BWA network.

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Section: Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing Energy and Modulation Selection in Multi-Resolution Modulation For Wireless Video Broadcast/Multicast

She

Shihada

2010

Access Networks

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“…Assuming that perfect CSIT is available, separation theorem applies and outage-free transmission at a rate equal to the channel mutual information is possible. For a given power allocation PQy), the expected distortion is then ED jD (blog(1+'yP(y))) f(y) dy subject to the constraints (4) Sp j yP() f(y) d-y < P and PQ)> (5) The expected distortion lower bound, ED, is achieved for some power allocation function P('y). Using the Lagrange multiplier technique, P(y) can be written as the solution to the following variational problem: P(-y) = arg min L (-y,P (-y)) day (6) where L: ('y,P (Y)) {D (b log (1 + yP ('y))) + AP ('~y) }f('y), and A > 0 is the Lagrange multiplier.…”

Section: Performance Boundmentioning

confidence: 99%

Joint Source-Channel Coding for Quasi-Static Fading Channels with Quantized Feedback

Etemadi

Jafarkhani

2007

2007 IEEE International Symposium on Information Theory

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We consider the transmission of a Gaussian source over a single-input multiple-output (SIMO) quasi-static fading channel. The goal is to minimize the expected distortion of the reconstructed signal at the receiver. We consider a delay-limited scenario where channel coding is restricted to a single realization of the channel. Channel state information (CSI) is assumed to be known perfectly at the receiver, and a zero-delay, noiseless, fixed-rate feedback link provides a quantized version of the CSI to the transmitter. An upper bound on the performance is derived and it is shown that for practical values of the channel signal to noise ratio (SNR), this bound can be achieved with a very limited knowledge of the channel quality. We show that unlike the rate maximization problems, temporal power adaptation at the transmitter provides significant gains, and the amount of the gain heavily depends on the bandwidth expansion ratio. For asymptotically high SNRs, we derive the distortion exponent of the system, defined as the slope of the expected distortion with respect to the channel SNR. We show that the distortion exponent of limited feedback is equivalent to that of superposition coding without feedback, so long as the number of quantization levels in the feedback scheme is equal to the number of the layers in the superposition coding scheme. For the finite-SNR regime, we propose an optimal and efficient numerical technique to design the feedback scheme. Numerical results for a Rayleigh fading channel are also presented.

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“…An exhaustive search method was used in [3]. In [8], [9], iterative rate and power allocation algorithms were developed for layered transmission over fading channels with PC and SC respectively. In [10], these algorithms were further simplified and applied to layered source transmission over one-way multiple relay networks.…”

Section: Introductionmentioning

confidence: 99%

Layered Source-Channel Coding over Two-Way Relay Networks

Liang

2013

2013 IEEE 78th Vehicular Technology Conference (VTC Fall)

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In this paper, we study the performances of various layered source-channel coding schemes over two-way relay networks, where the sources are coded into different layers and transmitted by progressive coding or superposition coding. The two-way relay network employs multiple-access-broadcast or time-division-broadcast protocol, and the relay uses decode-andforward (DF) protocol. We first derive the optimal distortion exponents of different schemes at high signal-to-noise ratios (SNRs). Fast resource allocation algorithms are then developed to optimize the expected distortion of the source at finite SNRs. Simulation results show that layered coding achieves better performance than single rate coding, and the proposed fast resource allocation scheme is near-optimal.

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Optimal Layered Transmission Over Quasi-Static Fading Channels

Cited by 24 publications

References 9 publications

Optimizing Energy and Modulation Selection in Multi-Resolution Modulation For Wireless Video Broadcast/Multicast

Optimizing Energy and Modulation Selection in Multi-Resolution Modulation For Wireless Video Broadcast/Multicast

Joint Source-Channel Coding for Quasi-Static Fading Channels with Quantized Feedback

Layered Source-Channel Coding over Two-Way Relay Networks

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