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Coverage analysis of cell-edge users in heterogeneous wireless networks using Stienen's model and RFA scheme

机译:使用Stienen模型和RFA方案覆盖异构无线网络中的细胞边缘用户的覆盖分析

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Summary In heterogeneous wireless networks, signal‐to‐interference‐plus‐noise ratio (SINR) suffers degradation due to strong interference received by users from offloaded macro base station (mBS). Similarly, cell‐edge users experience low SINR due to their distant locations. Moreover, small base stations (sBSs) located in the vicinity of mBS experience reduced coverage due to the high transmit power of mBS. To overcome these limitations, we use Stienen's model as a base station deployment strategy to improve network performance gain. More specifically, we use reverse frequency allocation (RFA) as an interference management scheme together with Stienen's model to significantly improve SINR, enhance edge user coverage, and avoid sBS deployment near the mBS. In the proposed set‐up, the available coverage region is divided into two noncontiguous regions, ie, center region and outer region. Furthermore, mBSs are uniformly distributed throughout the coverage region using independent Poisson point processes, while sBSs are deployed only in outer region using Poisson hole process (PHP). Closed‐form expressions for coverage probabilities are characterized for the proposed model. Numerical results show that the proposed scheme yields improved SINR with enhanced edge user coverage and requires fewer number of sBSs.
机译:发明内容在异构无线网络中,由于来自卸载宏基站(MBS)的用户接收的强干扰,信号到干扰加噪声比(SINR)遭受了劣化。类似地,由于其远处位置,细胞边缘用户经历低SINR。此外,由于MBS的高发电功率,位于MB附近的小基站(SBSS)经历了降低的覆盖。为了克服这些限制,我们将Stienen的模型用作基站部署策略,以提高网络性能增益。更具体地,我们使用逆向频率分配(RFA)作为干扰管理方案以及Stienen的模型,以显着提高SINR,增强边缘用户覆盖,避免在MB附近的SBS部署。在所提出的设置中,可用的覆盖区域被分成两个非连续区域,即中心区域和外部区域。此外,使用独立的泊松点过程,MBS在整个覆盖区域中均匀分布,而SBSS仅在使用泊松孔工艺(PHP)中的外部区域部署。覆盖概率的闭合表达式的特点是所提出的模型。数值结果表明,该方案产生了增强的边缘用户覆盖率的改进的SINR,并且需要较少数量的SBSS。

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