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Heterogeneous statistical QoS provisioning for downlink transmissions over mobile wireless cellular networks

机译：通过移动无线蜂窝网络进行下行链路传输的异构统计QoS设置

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To guarantee the real-time transmission for time-sensitive traffic, we need to take delay-bound quality-of-service (QoS) into account when designing the wireless cellular networks. The traditional powerful QoS guarantee technique, called the homogeneous statistical QoS provisioning, assumes that the QoS provisioning of each link can be individually processed. In order to further significantly increase the global system throughput, the available resources of all links need to be jointly controlled, which is typically suitable for downlink transmissions over wireless cellular networks. Under this setup, we need to consider the diverse delay-bound QoS provisionings for different links at the same time, which represents the new heterogeneous statistical QoS provisioning framework and imposes many new challenges not encountered before in wireless networks. To overcome these problems, in this paper we propose the heterogeneous statistical QoS provisioning framework for high-speed downlink transmissions in wireless cellular networks. In particular, we formulate the optimization problem to maximize the downlink throughput subject to heterogeneous statistical delay-bound QoS requirements. For solving this optimization problem, we develop the heterogeneous-QoS-driven power allocation scheme to derive the closed-form solutions which can maximize the global system throughput while guaranteeing the heterogeneous delay-bound QoS for the entire wireless cellular networks. We show that the heterogeneous-QoS-driven power allocation provides more generic framework for downlink transmissions. The extensive simulation results obtained show that our proposed heterogeneous-QoS-driven power allocation scheme can achieve the global optimization of wireless resource efficiency, thus significantly increasing the global system throughput as compared with the homogeneous statistical delay-bound QoS provisioning schemes.
机译：为了保证对时间敏感的流量的实时传输，在设计无线蜂窝网络时，我们需要考虑延迟限制的服务质量（QoS）。传统的功能强大的QoS保证技术称为同类统计QoS设置，它假定可以单独处理每个链路的QoS设置。为了进一步显着提高全局系统吞吐量，需要对所有链路的可用资源进行联合控制，这通常适用于无线蜂窝网络上的下行链路传输。在这种设置下，我们需要同时考虑针对不同链路的各种延迟绑定QoS设置，这代表了新的异构统计QoS设置框架，并带来了无线网络中以前没有遇到的许多新挑战。为了克服这些问题，本文提出了一种用于无线蜂窝网络中高速下行链路传输的异构统计QoS设置框架。特别是，我们制定了优化问题，以在异构统计延迟绑定QoS要求的约束下最大化下行链路吞吐量。为了解决此优化问题，我们开发了异构QoS驱动的功率分配方案，以导出封闭形式的解决方案，该解决方案可以在保证整个无线蜂窝网络的异构延迟绑定QoS的同时最大化全局系统吞吐量。我们表明，异构QoS驱动的功率分配为下行链路传输提供了更通用的框架。大量的仿真结果表明，我们提出的异构QoS驱动的功率分配方案可以实现无线资源效率的全局优化，从而与同类统计延迟约束QoS设置方案相比，显着提高了全局系统吞吐量。

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