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首页> 外文期刊>International journal of computer science and network security >Analysis of Downlink Coverage for Multi-Tier Cellular Network under Different Association Criteria Using Stochastic Geometry
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Analysis of Downlink Coverage for Multi-Tier Cellular Network under Different Association Criteria Using Stochastic Geometry

机译:使用随机几何分析不同关联条件下多层蜂窝网络的下行链路覆盖率

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The regularly rising of the information rates due to the huge usage of cellular applications implies that the legacy mobile network models comprising of macro-cell architecture do not fulfill the demand of the users. The only feasible solution to achieve the increasing demand is by adding small-scale BSs (pico cells, femto cells or both) in the legacy cellular network architecture of macro type BSs. The addition of small cells transforms the network into heterogeneous network. In this research, a heterogeneous network comprised of two-tiers of macro and pico BSs is evaluated for the downlink coverage probability of a user attached or associated to its macro or pico base station using stochastic geometry approach under two camping rules i.e., strongest instantaneous power and physically closet BS. Poisson point process (PPP) is utilized to model/represent the placement of BSs and users in the network. The analytical results of the SIR are presented, and the simulation model is developed accordingly to get the simulation results which are nicely matching with the analytical results. The results provide insights about the behavior of coverage (CCDF of SIR) under different assessed association criteria. It is observed on comparing all the coverage results for macro and pico tiers under both the studied associations that the coverage is highest for macro tier than the pico tier because of its high transmit power in the downlink as compared to pico BSs under both associations. Similarly, when compared the results of coverage for the two associations, the coverage under maximum strongest power association is slightly higher than the nearest association.
机译:由于蜂窝应用的大量使用而导致的信息速率的定期上升意味着由宏蜂窝架构构成的传统移动网络模型无法满足用户的需求。满足日益增长的需求的唯一可行的解​​决方案是在宏类型BS的传统蜂窝网络体系结构中添加小规模的BS(微微小区,毫微微小区或两者)。小型小区的添加将网络转变为异构网络。在这项研究中,使用随机几何方法在两个预占规则(即最强瞬时功率)下,对由宏和微微BS的两层组成的异构网络的用户的下行链路覆盖概率进行了评估。和物理壁橱BS。泊松点过程(PPP)用于建模/表示网络中BS和用户的位置。给出了SIR的分析结果,并相应地建立了仿真模型,得到与分析结果吻合良好的仿真结果。结果提供了有关在不同评估的关联标准下的覆盖行为(SIR CCDF)的见解。通过比较两种研究的关联下的宏层和微微层的所有覆盖范围结果,可以发现宏层的覆盖范围比微微层的覆盖范围最高,这是因为与两种关联下的微微BS相比,其在下行链路的发射功率高。类似地,当比较两个关联的覆盖范围结果时,最大最强关联下的覆盖范围略高于最近关联。

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