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Coverage and Effective Capacity in Downlink MIMO Multicell Networks With Power Control: Stochastic Geometry Modelling

机译:下行链路MIMO MultiCell网络中的覆盖和有效能力,电源控制:随机几何模拟

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摘要

In this paper, coverage probability and effective capacity in downlink multiple-antenna cellular system are considered. Two scenarios are investigated; in the first scenario, it is assumed that the system employs distance-based fractional power control with no multicell coordination. For the second scenario, we assume the system implements multicell coordinated beamforming so as to cancel inter-cell interference. For both scenarios, the BSs are assumed to randomly uniformly distributed in the area according to Poisson point process. Using tools from stochastic geometry, tractable, analytical expressions for coverage probability and effective capacity are derived for both scenarios. Numerical results reveal that for a system with stringent delay quality of service (QoS) constraints, i.e. (traffic delay is intolerable), best performance can be achieved by suitably adopting fractional power strategy when transmitting to the users, while constant power allocation performs better than all other power allocation strategies when the delay QoS constraints get loose (tolerable delay). For coverage probability, a fractional power control is better than constant power and channel inversion power strategies for low signal-to-interference plus noise ratio (SINR) thresholds, while the constant power strategy performs better than others in high SINR thresholds.
机译:在本文中,考虑了下行链路多天线蜂窝系统中的覆盖概率和有效能力。调查了两种情况;在第一场景中,假设该系统采用基于距离的分数功率控制,没有多电池协调。对于第二种方案,我们假设系统实现多电池协调波束成形以取消小区间干扰。对于这两种情况,假设BSS根据泊松点过程随机均匀地分布在该区域中。使用工具来自随机几何形状的工具,对于两种情况来说,导出了用于覆盖概率和有效容量的覆盖概率和有效容量的工具。数值结果表明,对于具有严格延迟服务的系统(QoS)约束(QoS)约束的系统,即(交通延迟是无法忍受的),可以通过适当地采用在向用户发送分数功率策略的情况下实现最佳性能,而恒定功率分配比所有其他电源分配策略当延迟QoS约束时松动(可容忍延迟)。对于覆盖概率,分数功率控制优于恒定功率和信道反转功率策略,用于低信噪比加噪声比(SINR)阈值,而恒定功率策略比在高SINR阈值中更好地执行比其他功率更好。

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