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首页> 外文会议>IEEE International symposium on Personal, Indoor, and Mobile Radio Communications >Dynamic cell selection and resource allocation in cognitive small cell networks
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Dynamic cell selection and resource allocation in cognitive small cell networks

机译：认知小小区网络中的动态小区选择和资源分配

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摘要

We consider a sensing-based power allocation scheme in a cognitive small cell network to maximize the sum rate of each small cell by jointly optimizing both the cell selection, the sensing operation and the power allocation over channels, under the condition of interference to primary users below a certain value. Due to intercell interference and the integer nature of the cell selection, the resulting optimization problems lead to a non-convex integer programming which is NP-hard. In order to deal with the non-convexity, we reformulate the problem to a non-convex power allocation game and use the relaxed equilibria concept, namely, quasi-Nash equilibrium. A sensing-based power allocation optimization algorithm that converges to a quasi-Nash equilibrium is also discussed in this paper. Simulation results show that the proposed approach achieves substantial performance gains with respect to a deterministic approach.
机译：我们考虑在认知小蜂窝网络中基于感知的功率分配方案，以在对主要用户造成干扰的情况下，通过共同优化小区选择，感知操作和信道上的功率分配，来最大化每个小蜂窝的总速率低于一定值。由于小区间干扰和小区选择的整数性质，所产生的优化问题导致了NP-hard的非凸整数编程。为了处理非凸性，我们将问题重新表述为非凸功率分配博弈，并使用宽松的均衡概念，即准纳什均衡。本文还讨论了一种收敛于准纳什均衡的基于感测的功率分配优化算法。仿真结果表明，相对于确定性方法，该方法可显着提高性能。

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