In order to ensure the visual quality and the objective quality of video under low bandwidth, this paper presents a FGS enhancement layer coding algorithm for interested region. First, this paper introduces the tradit...
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In order to ensure the visual quality and the objective quality of video under low bandwidth, this paper presents a FGS enhancement layer coding algorithm for interested region. First, this paper introduces the traditional FGS enhancement layer coding and analyzes the exist problems. Then, proposes the main steps and description of the FGS enhancement layer coding algorithm for interested region. Finally, this paper shows the effectiveness of the algorithm through experimental results.
In this paper, proportional fairness(PF)-based energy-efficient power allocation is studied for multiple-input multiple-output(MIMO) non-orthogonal multiple access(NOMA) systems. In our schemes, statistical channel st...
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In this paper, proportional fairness(PF)-based energy-efficient power allocation is studied for multiple-input multiple-output(MIMO) non-orthogonal multiple access(NOMA) systems. In our schemes, statistical channel state information(CSI) is utilized for perfect CSI is impossible to achieve in practice. PF is used to balance the transmission efficiency and user fairness. Energy efficiency(EE) is formulated under basic data rate requirements and maximum transmitting power constraints. Due to the non-convex nature of EE, a two-step algorithm is proposed to obtain sub-optimal solution with a low complexity. Firstly, power allocation is determined by golden section search for fixed power. Secondly total transmitting power is determined by fractional programming method in the feasible regions. Compared to the performance of MIMO-NOMA without PF constraint, fairness is obtained at expense of decreasing of EE.
The growth of network coding opportunities is considered the unique optimization goal by most current network coding based routing algorithms for wireless mesh networks. This usually results in flows aggregation probl...
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The growth of network coding opportunities is considered the unique optimization goal by most current network coding based routing algorithms for wireless mesh networks. This usually results in flows aggregation problem in areas with coding opportunities, and degrades the network performance. This paper proposes a Load balanced coding aware multipath routing(LCMR)for wireless mesh networks. To facilitate the evaluation of discovered multiple paths and the tradeoffs between coding opportunity and load balancing, a novel routing metric, Load balanced coding aware routing metric(LCRM) is presented, which considers the load degree of nodes when detects coding opportunities. LCMR could spread traffic over multipath to further balance load. Simulation results demonstrate that LCMR could evenly spread the traffic over the network with increasing network throughput in a heavy load at the expense of some coding opportunities.
To solve the fairness problem in user access of mobile communication systems, we proposed an access control scheme based on price and customer satisfaction (PSAC) in this paper. In the scheme, we borrow Cobb-Douglas o...
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In order to make cloud users get credible, high-quality composition of services, the trust quality of service aware(TQoS-aware) based parallel ant colony algorithm is proposed. Our approach takes the service credibili...
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In order to make cloud users get credible, high-quality composition of services, the trust quality of service aware(TQoS-aware) based parallel ant colony algorithm is proposed. Our approach takes the service credibility as the weight of the quality of service, then calculates the trust service quality T-QoS for each service, making the service composition situated in a credible environment. Through the establishment on a per-service T-QoS initialization pheromone matrix, we can reduce the colony’s initial search time. By modifying the pheromone updating rules and introducing two ant colonies to search from different angles in parallel,we can avoid falling into the local optimal solution, and quickly find the optimal combination of global solutions. Experiments show that our approach can combine high-quality services and the improvement of the operational success rate. Also, the convergence rate and the accuracy of optimal combination are improved.
This paper investigates the impacts of network coding （NC） on user fairness from the network perspective in multiple access channels. Firstly, simultaneous outage is exploited as the metric to evaluate user fairness...
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This paper investigates the impacts of network coding （NC） on user fairness from the network perspective in multiple access channels. Firstly, simultaneous outage is exploited as the metric to evaluate user fairness. To optimize it, a fairness-oriented physical layer NC scheme is proposed, in which users＇ signals are superimposed in specific calculated proportion at relay and then decoded by maximal ratio combination （MRC） and serial interference cancellation （SIC） at destination. Furthermore, the influence of power allocation coefficient error on simultaneous outage is also analyzed to reveal its correlation with user fairness. Simulation results indicate that the proposed scheme can supply approximately equal performance promotion for each cooperation-participated user and outperform those without fairness consideration in terms of the employed metric.
Continuous-variable quantum key distribution（CVQKD）[1-7]allows two remote parties（Alice and Bob）to share a secret key,even in the presence of an eavesdropper（Eve）with unlimited computational power[8-17].While,a ...
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Continuous-variable quantum key distribution（CVQKD）[1-7]allows two remote parties（Alice and Bob）to share a secret key,even in the presence of an eavesdropper（Eve）with unlimited computational power[8-17].While,a highly efficient reconciliation protocol[18-21]is crucial in a CVQKDsystem, which can not only extract the errorless secret keys, but also provide a promising way to achieve a long distance CVQKD at a low signal-to-noise ratio （SNR）.
Cloud computing is experiencing a rapid development since a large amount of data need to be addressed. How to carry on the reasonable task scheduling plays a vital role in the operating efficiency of cloud computing. ...
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Video compression can reduce the amount of data information for wireless multimedia sensornetworks(WMSNs). Compared with the traditional video coding algorithms, big gap existed in coding performance for Distributed ...
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Video compression can reduce the amount of data information for wireless multimedia sensornetworks(WMSNs). Compared with the traditional video coding algorithms, big gap existed in coding performance for Distributed Video Coding (DVC). In order to improve the efficiency of side information estimation, a novel hash-based side information estimation algorithm is proposed in this paper. For the regions of the Wyner-Ziv frame which cannot coding and decoding accurately, Discrete Cosine Transform (DCT) low-frequency coefficients of DCT is extracted according to the criteria of ROI for entropy coding. Then decoded DCT low-frequency coefficients for bidirectional hash motion estimation is utilized by decoder, which enables the decoder to choose between past and future reference frames for frame interpolation to generate best side information. Experimental results show that our proposed algorithm can gain more accurate motion estimation in the intense motion region. The algorithm can also reduce the rate, improve the quality of decoded image, and decrease the energy consumption of sensor nodes ultimately, which is important for WMSNs.
This paper considers the problem of transmitting correlated information from multiple sources to multiple receivers, where every receiver seeks to recover all of the original sources. In order to improve the efficienc...
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