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Densely deploying femtocells is deemed as a promising approach to meet the ever-increasing of traffic demands. Efficient resource allocation and interference management becomes to a challenging issue. In this work, we try to address the co- and cross-tier interference issue for densely deployed femtocell networks in order to acquire the expected performance gain. We propose a two-stage framework....
In this paper, power allocation for device-to-device (D2D) communication underlaying cellular networks is investigated. Our optimization task is to maximize the sum rate of the cellular link and the D2D link subject to the maximum power budget and intercell interference constraints. An efficient iterative algorithm is proposed to address the formulated intractable problem, to which the global optimum...
In this paper, a new Complexity Scalable Motion Estimation (CSME) method is proposed which can perform Motion Estimation adaptively under different computation or power budgets while keeping high coding performance. We first propose to use a new class-based method to measure the Macroblock (MB) importance. Based on the new MB importance measure, a complete CSME framework is then proposed. The proposed...
In this paper, a new computation-control motion estimation (CCME) method is proposed which can perform motion estimation (ME) adaptively under different computation or power budgets while keeping high coding performance. We first propose a new class-based method to measure the macroblock (MB) importance where MBs are classified into different classes and their importance is measured by combining their...
In this paper, a new complexity-scalable computation control method is proposed which can perform motion estimation (ME) adaptively under different computation or power budgets while keeping high coding performance. We first propose a new class-based method to measure the macroblock (MB) importance where MBs are classified into different classes and their importance is measured by combining their...
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