Radio resource allocation in heterogeneous cellular networks based on effective capacity maximization: Perspective mobile data offloading

Radio resource allocation in heterogeneous cellular networks based on effective capacity maximization: Perspective mobile data offloading
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基于有效容量最大化的异构蜂窝网络中的无线资源分配:透视移动数据卸载

DOI:
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发表时间:
2017
影响因子:
3.6
通讯作者:
Moslem Forouzesh
Moslem Forouzesh
中科院分区:
计算机科学4区
文献类型:
--
作者:
M. Gholami;P. Azmi;N. Mokari;Moslem Forouzesh

文献摘要

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提出了一种在异构蜂窝网络中通过本地接入点进行移动的数据卸载的无线资源分配方法。我们考虑在具有宏基站(BS)和LAP集合的2层蜂窝网络中基于单载波频分多址的多用户系统中的上行链路路径。我们假设由于使用2个不同的频率集合,在宏BS和LAP之间不存在网络间干扰。我们的目标是分配资源,以确定最佳的策略,提供所需的服务质量与标准的最小延迟有效容量最大化。这些工作的基础是策略选择的优化。换句话说,在单载波频分多址多用户系统中选择用于卸载的最佳站和功率分配,并分别使用具有网格自适应直接算法求解器和对偶分解方法的非线性优化来解决问题。数值结果验证了我们的分析结果。例如,如果宏BS的业务负载减少50%,则系统延迟减少大约10倍。此外,我们提出了一个比较的流量减少和消耗的带宽,由于卸载通过LAPs的蜂窝网络,这证实了所提出的方法的效率的影响。
In this paper, a new radio resource allocation approach for mobile data offloading, by means of a local access point (LAP) in the heterogeneous cellular networks is proposed. We consider the uplink path in a single‐carrier frequency‐division multiple access–based multiuser system in a 2‐tier cellular network with a macro base station (BS) and set of LAPs. We assume that there is no internetwork interference between macro BS and LAPs due to the use of 2 different sets of frequencies. Our aim is to allocate resources to determine the best strategy for providing the required quality of service with the criterion of minimum delay in terms of effective capacity maximization. The basis of this work is optimization for the strategy selection. In other words, the selection of the best station and power allocation for offloading in a single‐carrier frequency‐division multiple access multiuser system and solving the problems using the nonlinear optimization with the mesh adaptive direct algorithm solver and the dual decomposition method, respectively. The numerical results validate our analytical outcomes. For example, system delay decreases approximately 10 times if the traffic load of macro BS is decreased by 50%. In addition, we present a comparison of the impact of traffic reduction and consumed bandwidth due to offloading by means of LAPs on the cellular network, which confirms the efficiency of the proposed approach.