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首页> 外文期刊>Communications, IET >User association with jointly maximising downlink sum rate and minimising uplink sum power for heterogeneous cellular networks
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User association with jointly maximising downlink sum rate and minimising uplink sum power for heterogeneous cellular networks

机译：与用户关联，共同为异构蜂窝网络最大化下行链路总和速率并最小化上行链路总和功率

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In heterogeneous cellular networks (HCNs), the user association is a challenging topic since some different base stations coexist. Moreover, because of the asymmetric uplink and downlink in HCNs, a joint uplink and the downlink association algorithm should be designed to improve the system performance. For the practical implementation, the authors need to ensure that the algorithm is highly effective. Thus, they try to design an association strategy that jointly maximises downlink sum rate and minimises uplink sum power, and formulate it as a sum-utility maximisation problem. To solve this problem, they design a centralised association algorithm via a gradient descent method, and develop a distributed association algorithm via dual decomposition. Simulation results show that, compared with the signal strength-based association, range expansion association and the method proposed by Ye, their scheme has some significant advantages in the mass.
机译：在异构蜂窝网络（HCN）中，用户关联是一个具有挑战性的主题，因为一些不同的基站共存。此外，由于HCN中的上行链路和下行链路不对称，因此应设计联合的上行链路和下行链路关联算法以提高系统性能。对于实际实现，作者需要确保该算法高效。因此，他们试图设计一种联合策略，该策略共同使下行链路总和速率最大化，并使上行链路总功率最小化，并将其表述为总和效用最大化问题。为了解决这个问题，他们通过梯度下降法设计了集中式关联算法，并通过对偶分解开发了分布式关联算法。仿真结果表明，与基于信号强度的关联，范围扩展关联和Ye提出的方法相比，它们的方案在质量上具有明显的优势。

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