In this paper, an achievability region and a converse region for the two-user Gaussian interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The achievability region is obtained using a ran...
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In this paper, an achievability region and a converse region for the two-user Gaussian interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The achievability region is obtained using a random coding argument and three well-known techniques: rate splitting, superposition coding and backward decoding. The converse region is obtained using some of the existing perfect-output feedback outer-bounds as well as a set of new outer-bounds that are obtained by using genie-aided models of the original G-IC-NOF. Finally, it is shown that the achievability region and the converse region approximate the capacity region of the G-IC-NOF to within a constant gap in bits per channel use.
The main difficulty to implement modern image coding systems in a GPU is that the algorithms employed in the core of the coding scheme are inherently sequential. We recently proposed bitplane image coding with paralle...
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ISBN:
(纸本)9781467384872
The main difficulty to implement modern image coding systems in a GPU is that the algorithms employed in the core of the coding scheme are inherently sequential. We recently proposed bitplane image coding with parallel coefficient processing (BPC-PaCo), a coding scheme that, contrarily to most systems, permits the processing of multiple coefficients of the image in parallel. This enables the use of SIMD computing, ideal for its implementation in a GPU. This paper introduces and evaluates the GPU implementation of BPC-PaCo employing two different strategies that tradeoff computational throughput and compression efficiency. The proposed implementation is compared to the best CPU and GPU implementations of JPEG2000, the state-of-the-art image compression standard. Experimental results indicate that BPC-PaCo achieves a computational throughput that is an order of magnitude superior to that achieved with such implementations with a small reduction in coding efficiency.
Due to technology scaling, the number of processor cores on a chip constantly increases. Already today, we reach the domain of so called many-core systems-on-chip. However, this advance comes at the cost of reliabilit...
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Due to technology scaling, the number of processor cores on a chip constantly increases. Already today, we reach the domain of so called many-core systems-on-chip. However, this advance comes at the cost of reliability, which especially affects the communication performance of the underlying network-on-chip. Today's resiliency concepts for network-on-chip like automatic repeat request with retransmission are not feasible anymore and lead to long latencies and high network load. In this paper, we propose an on-chip transmission concept based on random linear network coding to provide high resiliency and an efficient communication in many-core processors at the same time. The concept offers a flexible and efficient computable coding scheme, which is well suited for on-chip communication and allows to exploit the path diversity of large networks. First, we use a flit-level cycle-accurate simulation model to investigate the performance potential of the proposed transmission scheme on a network-on-chip with 64 cores. Second, we propose an analytic model for random linear network coding in network-on-chip with retransmission, which is able to provide a very accurate performance estimation close to the cycle-accurate simulation. Finally, we apply the analytic model to investigate the performance potential on the large-scale, assuming a processor with 1024 cores.
We address a new robust optimization problem in a multiuser multiple-input single-output broadcasting system with simultaneous wireless information and power transmission. Assuming that perfect channel-state informati...
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ISBN:
(纸本)9781479980925
We address a new robust optimization problem in a multiuser multiple-input single-output broadcasting system with simultaneous wireless information and power transmission. Assuming that perfect channel-state information (CSI) for all channels is not available at the BS, the uncertainty of the CSI is modeled by an norm-bounded uncertainty set. To optimally design transmit beamforming weights and receive power splitting, an average total transmit power minimization problem is investigated subject to the individual harvested power constraint and the received signal-to-interference-plus-noise ratio constraint at each user. The original design problem is reformulated to a relaxed semidefinite program, and then two different approaches based on convex programming are proposed, which can be solved efficiently by the interior point algorithm. Interestingly, we show that the semidefinite relaxation (SDR) is tight. Numerical results are provided to validate the robustness of the proposed algorithms.
In this paper, we investigate a multiuser downlink distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state information at the distribute...
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ISBN:
(纸本)9781479980895
In this paper, we investigate a multiuser downlink distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state information at the distributed antenna (DA) port. To optimally design robust transmit beamforming vectors and receive power splitting factors, our design objective is to maximize the average worst-case signal-to-interference-plus-noise ratio while simultaneously achieving the individual energy harvesting (EH) constraint for each user and the per-DA port power constraint. We solve this non- convex problem by reformulating it into a two-stage problem. Simulation results are shown to validate the robustness and effectiveness of the proposed algorithms.
While the future importance of cyber-physical systems is widely acknowledged, there is surprisingly rare discussion about the design of operating systems for these kinds of systems. We present an extended view on the ...
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While the future importance of cyber-physical systems is widely acknowledged, there is surprisingly rare discussion about the design of operating systems for these kinds of systems. We present an extended view on the low-level abstractions to be offered by the operating system to applications. The central idea is the treatment of all relevant cyber-physical entities as task execution resource, which directly impacts the representation of tasks, communication and memory in the application programming interface. The resulting concept framework can serve as starting point for future research in this field.
This paper presents an algorithm that provides a regularization for the costate dynamics of state constrained optimal control problems with a scalar constraint under the assumption that the Hamiltonian is convex in th...
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We consider a carries process which is a generalization of that by Holte in the sense that (i) we take various digit sets, and (ii) we also consider negative base. Our results are: (i) eigenvalues and eigenvectors of ...
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Cloud Computing (CC) is the new trend in computing and resource management, an architectural shift towards thin clients and conveniently centralized provision of computing and networking resources. Worldwide cloud ser...
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This paper presents an algorithm that provides a regularization for the costate dynamics of state constrained optimal control problems with a scalar constraint under the assumption that the Hamiltonian is convex in th...
This paper presents an algorithm that provides a regularization for the costate dynamics of state constrained optimal control problems with a scalar constraint under the assumption that the Hamiltonian is convex in the control and the state dynamics equation of the constrained state is monotonically increasing in the control variable. The algorithm is demonstrated with a classical optimal control problem.
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