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首页> 外文期刊>Wireless Communications, IEEE Transactions on >Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks
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Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks

机译:异构无线蜂窝网络的联合资源分配和用户关联

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摘要

We propose a unified static framework to study the interplay of user association and resource allocation in heterogeneous cellular networks. This framework allows us to compare the performance of three channel allocation strategies: Orthogonal deployment, Co-channel deployment, and Partially Shared deployment. We have formulated joint optimization problems that are non-convex integer programs, are NP-hard, and hence it is difficult to efficiently obtain exact solutions. We have, therefore, developed techniques to obtain upper bounds on the system's performance. We show that these upper bounds are tight by comparing them to feasible solutions. We have used these upper bounds as benchmarks to quantify how well different user association rules and resource allocation schemes perform. Our numerical results indicate that significant gains in throughput are achievable for heterogeneous networks if the right combination of user association and resource allocation is used. Noting the significant impact of the association rule on the performance, we propose a simple association rule that performs much better than all existing user association rules.
机译:我们提出了一个统一的静态框架来研究异构蜂窝网络中用户关联和资源分配之间的相互作用。该框架使我们能够比较三种渠道分配策略的性能:正交部署,同渠道部署和部分共享部署。我们已经制定了联合优化问题,这些问题是非凸整数程序,是NP难解的,因此很难有效地获得精确的解。因此,我们开发了一些技术来获得系统性能的上限。通过将它们与可行的解决方案进行比较,我们证明了这些上限是紧密的。我们已将这些上限用作基准,以量化不同用户关联规则和资源分配方案的执行情况。我们的数值结果表明,如果使用用户关联和资源分配的正确组合,则对于异构网络而言,吞吐量可以显着提高。注意关联规则对性能的重大影响,我们提出了一种简单的关联规则,其性能要比所有现有的用户关联规则都要好得多。

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