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首页> 外文期刊>Wireless Communications, IEEE Transactions on >Rate Maximization Based Power Allocation and Relay Selection With IRI Consideration for Two-Path AF Relaying
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Rate Maximization Based Power Allocation and Relay Selection With IRI Consideration for Two-Path AF Relaying

机译:基于速率最大化的功率分配和具有IRI考虑的中继选择,用于两路径AF中继

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摘要

We consider the power allocation and relay selection for rate maximization in a two-path amplify-and-forward (AF) relay network with inter-relay interference (IRI) consideration. We first investigate the power allocation with only a pair of relays under both the individual and global power constraints. To find the global optimum solution to this nonconvex problem, we develop a three-step approach using the rate-profiling technique together with a reformulation of the sum-rate maximization problem as a set of power-minimization geometric programming problems (GPPs). For reduced complexity, we further convert the optimization problem into a set of GPPs in a single-step by using a high signal-to-interference-plus-noise ratio approximation. Next, we consider the relay pair selection and propose an algorithm in which the achievable rate of each pair of relays with the proposed power allocation is compared. This selection criterion outperforms the conventional selection scheme in terms of the achievable rate. We further propose two low-complexity selection criteria for low and moderate IRI. For moderate IRI, the ratio of the source-relay and relay-destination channel power product to the square of inter-relay channel power can be used for relay selection to achieve a performance close to that of the selection based on the proposed power allocation.
机译:在考虑中继器间干扰(IRI)的情况下,我们考虑了两径放大转发(AF)中继网络中的功率分配和中继选择,以实现速率最大化。我们首先研究在单个和全局功率约束下仅使用一对继电器的功率分配。为了找到针对该非凸问题的全局最优解,我们开发了一种三步方法,其中使用了速率分布技术以及将求和率最大化问题的重新公式化作为一组功率最小化几何规划问题(GPPs)。为了降低复杂度,我们通过使用高信号干扰干扰加噪声比近似将优化问题一步一步地转换为一组GPP。接下来,我们考虑继电器对的选择,并提出一种算法,该算法将具有建议功率分配的每对继电器的可达到速率进行比较。就可达到的速率而言,该选择标准优于常规选择方案。我们还为中低IRI提出了两种低复杂度选择标准。对于中等IRI,可以将源中继和中继目标信道功率乘积与中继间信道功率的平方之比用于中继选择,以实现接近于基于建议功率分配的选择性能。

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