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相关论文: Simple Approximations of the SIR Meta Distribution…

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Heterogeneous cellular networks (HCNs) constitute a necessary step in the evolution of cellular networks. In this paper, we apply the signal-to-interference ratio (SIR) meta distribution framework for a refined SIR performance analysis of…

信息论 · 计算机科学 2018-03-02 Yuanjie Wang , Martin Haenggi , Zhenhui Tan

The calculation of the SIR distribution at the typical receiver (or, equivalently, the success probability of transmissions over the typical link) in Poisson bipolar and cellular networks with Rayleigh fading is relatively straightforward,…

信息论 · 计算机科学 2015-06-05 Martin Haenggi

It has recently been observed that the SIR distributions of a variety of cellular network models and transmission techniques look very similar in shape. As a result, they are well approximated by a simple horizontal shift (or gain) of the…

信息论 · 计算机科学 2015-11-30 Radha K. Ganti , Martin Haenggi

We introduce a simple yet powerful and versatile analytical framework to approximate the SIR distribution in the downlink of cellular systems. It is based on the mean interference-to-signal ratio and yields the horizontal gap (SIR gain)…

信息论 · 计算机科学 2014-06-12 Martin Haenggi

The meta distribution of the signal-to-interference-ratio (SIR) is an important performance indicator for wireless networks because, for ergodic point processes, it describes the fraction of scheduled links that achieve certain reliability,…

信息论 · 计算机科学 2020-08-27 Konstantinos Koufos , Carl P. Dettmann

The performance analysis of heterogeneous cellular networks (HetNets), that relied mostly on the homogeneous Poisson point process (PPP) for the spatial distribution of the users and base stations (BSs), has seen a major transition with the…

信息论 · 计算机科学 2020-07-14 Chiranjib Saha , Mehrnaz Afshang , Harpreet S. Dhillon

The meta distribution of the signal-to-interference ratio (SIR) provides fine-grained information about the performance of individual links in a wireless network. This paper focuses on the analysis of the meta distribution of the SIR for…

信息论 · 计算机科学 2017-12-05 Yuanjie Wang , Martin Haenggi , Zhenhui Tan

This paper proposes a novel approach for computing the meta distribution of the signal-to-interference-plus-noise ratio (SINR) for the downlink transmission in a wireless network with Rayleigh fading. The novel approach relies on an…

信息论 · 计算机科学 2023-02-08 Yujie Qin , Mustafa A. Kishk , Mohamed-Slim Alouini

Meta distribution is a fine-grained unified performance metric that enables us to evaluate the {reliability and latency} of next generation wireless networks, in addition to the conventional coverage probability. In this paper, using…

信号处理 · 电气工程与系统科学 2019-12-10 Hazem Ibrahim , Hina Tabassum , Uyen T. Nguyen

This work studies the signal-to-interference-plus-noise-ratio (SINR) meta distribution for the uplink transmission of a Poisson network with Rayleigh fading by using the dominant interferer-based approximation. The proposed approach relies…

信息论 · 计算机科学 2023-09-12 Yujie Qin , Mustafa A. Kishk , Mohamed-Slim Alouini

In a large-scale wireless ad hoc network in which all transmitters form a homogeneous of Poisson point process, the statistics of the signal-to-interference ratio (SIR) in prior work is only derived in closed-form for the case of Rayleigh…

信息论 · 计算机科学 2015-05-27 Chun-Hung Liu

In cellular network models, the base stations are usually assumed to form a lattice or a Poisson point process (PPP). In reality, however, they are deployed neither fully regularly nor completely randomly. Accordingly, in this paper, we…

信息论 · 计算机科学 2014-04-29 Anjin Guo , Martin Haenggi

In this paper, we analyze the signal-to-interference-plus-noise ratio (SINR) performance at a mobile station (MS) in a random cellular network. The cellular network is formed by base-stations (BSs) placed in a one, two or three dimensional…

信息论 · 计算机科学 2015-03-13 Prasanna Madhusudhanan , Juan G. Restrepo , Youjian Liu , Timothy X Brown , Kenneth R. Baker

A fine-grained analysis of network performance is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference-plus-noise-ratio (SINR) in the mmWave heterogeneous networks where the base stations…

信息论 · 计算机科学 2022-01-20 Le Yang , Fu-Chun Zheng , Shi Jin

In this paper, we present a detailed analysis of the coverage and spectral efficiency of a downlink cellular network. Rather than relying on the first order statistics of received signal-to-interference-ratio (SIR) such as coverage…

网络与互联网体系结构 · 计算机科学 2018-08-20 A. M. Hayajneh , S. A. R. Zaidi , Des. C. McLernon , M. Z. Win , A. Imran , M. Ghogho

This paper provides an analytically tractable framework of investigating the statistical properties of the signal-to-interference power ratio (SIR) with a general distribution in a heterogeneous wireless ad hoc network in which there are K…

信息论 · 计算机科学 2016-08-18 Chun-Hung Liu , Zhu-Kuan Yang , Di-Chun Liang

A fine-grained analysis of the cache-enabled networks is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference ratio (SIR) for the cache-enabled networks where the locations of the base…

信息论 · 计算机科学 2021-02-09 Le Yang , Fu-Chun Zheng , Yi Zhong , Shi Jin

A fine-grained analysis of the cache-enabled networks is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference-plus-noise-ratio (SINR) in the mmWave heterogeneous networks where the base…

信息论 · 计算机科学 2020-09-17 Le Yang , Fu-Chun Zheng , Shi Jin

A wireless communication network is considered where any two nodes are connected if the signal-to-interference ratio (SIR) between them is greater than a threshold. Assuming that the nodes of the wireless network are distributed as a…

信息论 · 计算机科学 2016-11-17 Rahul Vaze

The Poisson bipolar model considers user-base station pairs distributed at random on a flat domain, similar to matchsticks scattered onto a table. Though this is a simple and tractable setting in which to study dense networks, it doesn't…

无序系统与神经网络 · 物理学 2022-03-01 Alexander P. Kartun-Giles , Konstantinos Koufos , Sunwoo Kim
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