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Enabling Cooperation, Resource Allocation and Receiver Selection Across Cells: Complementary Fractional Frequency Reuse

机译:跨细胞启用合作,资源分配和接收器选择:互补分数频率重用

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For a multi-cell multiple access channel, we develop a comprehensive cooperative communication framework: we propose a novel complementary fractional frequency reuse (FFR) strategy tailored specifically for pairwise user cooperation, also taking into account cell sectoring. This strategy allows the cell edge users not only to pool their resources and cooperate across cells, but also to choose the best receiver. We divide the users into cooperating inner and outer user pairs, and assign each pair orthogonal resources using OFDMA. We employ pairwise bidirectional cooperation based on block Markov superposition encoding among user pairs. We derive the achievable rates, while taking into account the geometry dependent interference at the users and the receiver. We find the jointly optimal power allocation, partner selection and receiver selection strategies that maximize the sum rate of the system. We then propose a heuristic matching algorithm, which operates based only on user and receiver locations. We compare the performance of our proposed strategies with several non-cooperative models, and demonstrate that the sum rate can nearly be doubled, while using the same resources.
机译:对于多个电池多址通道,我们开发了一个全面的合作频道框架:我们提出了一种专门针对一对细胞部门定制的新型互补分数重用(FFR)策略,也考虑到了细胞扇区。此策略允许小区边缘用户不仅要汇集其资源并在细胞上进行合作,还可以选择最佳接收器。我们将用户划分为协作内部和外部用户对,并使用OFDMA分配每个对正交资源。我们采用基于用户对中的块Markov叠加编码的成对双向合作。我们派生了可实现的速率,同时考虑到用户和接收器的几何依赖性干扰。我们找到了最大化系统总和率的联合最佳的功率分配,合作伙伴选择和接收器选择策略。然后,我们提出了一种启发式匹配算法,其仅基于用户和接收器位置操作。我们将拟议策略的表现与几种非合作模型进行了比较,并证明了使用相同资源的总和率几乎加倍。

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