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Cell-free (CF) massive multiple-input multiple-output (mMIMO) has been considered as a potential technology for Beyond 5G communication systems. However, the performance of CF mMIMO systems has not been well studied. Most existing…

信息论 · 计算机科学 2023-10-06 Baolin Chong , Fengqian Guo , Hancheng Lu , Langtian Qin

We develop a general downlink model for multi-antenna heterogeneous cellular networks (HetNets), where base stations (BSs) across tiers may differ in terms of transmit power, target signal-to-interference-ratio (SIR), deployment density,…

信息论 · 计算机科学 2016-11-15 Harpreet S. Dhillon , Marios Kountouris , Jeffrey G. Andrews

This paper considers maximizing the network-wide minimum supported rate in the downlink of a two-cell system, where each base station (BS) is endowed with multiple antennas. This is done for different levels of cell cooperation. At one…

信息论 · 计算机科学 2011-06-14 Randa Zakhour , Stephen V. Hanly

The SINR (signal to interference plus noise ratio) is a key factor for wireless networks analysis. Indeed, the SINR distribution allows the derivation of performance and quality of service (QoS) evaluation. Moreover, it also enables the…

网络与互联网体系结构 · 计算机科学 2014-11-20 Jean-Marc Kelif , Stephane Senecal , Marceau Coupechoux , Constant Bridon

Signal-to-noise-plus-interference ratio (SINR) outage probability is among one of the key performance metrics of a wireless cellular network. In this paper, we propose a semi-analytical method based on saddle point approximation (SPA)…

信息论 · 计算机科学 2017-05-03 Sudarshan Guruacharya , Hina Tabassum , Ekram Hossain

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

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

This paper derives tight performance upper and lower bounds on the downlink outage efficiency of K-tier heterogeneous cellular networks (HCNs) for general signal propagation models with Poisson distributed base stations in each tier. In…

信息论 · 计算机科学 2016-02-08 Serkan Ak , Hazer Inaltekin , H. Vincent Poor

Based on a stationary Poisson point process, a wireless network model with random propagation effects (shadowing and/or fading) is considered in order to examine the process formed by the signal-to-interference-plus-noise ratio (SINR)…

网络与互联网体系结构 · 计算机科学 2015-03-12 Bartlomiej Blaszczyszyn , Holger Paul Keeler

Understanding the performance of multi-user multiple-input multiple-output (MU-MIMO) systems under imperfect channel state information at the transmitter (CSIT) remains a critical challenge in next-generation wireless networks. In this…

信号处理 · 电气工程与系统科学 2026-02-06 Maria Cecilia Fernández Montefiore , Gustavo González , F. Javier López-Martínez , Fernando Gregorio

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

Stochastic geometry models of wireless networks based on Poisson point processes are increasingly being developed with a focus on studying various signal-to-interference-plus-noise ratio (SINR) values. We show that the SINR values…

概率论 · 数学 2014-08-05 Holger Paul Keeler , Bartlomiej Blaszczyszyn

The uplink of a wireless network with base stations distributed according to a Poisson Point Process (PPP) is analyzed. The base stations are assumed to have a large number of antennas and use linear minimum-mean-square-error (MMSE) spatial…

信息论 · 计算机科学 2013-11-20 Siddhartan Govindasamy

A technique is presented to evaluate the performance of a wireless link with a multi-antenna linear Minimum-Mean-Square Error (MMSE) receiver in the presence of interferers distributed according to non-homogeneous Poisson processes or…

信息论 · 计算机科学 2014-04-08 Junjie Zhu , Siddhartan Govindasamy

An almost ubiquitous assumption made in the stochastic-analytic study of the quality of service in cellular networks is Poisson distribution of base stations. It is usually justified by various irregularities in the real placement of base…

There have been a bulk of analytic results about the performance of cellular networks where base stations are regularly located on a hexagonal or square lattice. This regular model cannot reflect the reality, and tends to overestimate the…

网络与互联网体系结构 · 计算机科学 2015-03-19 Seung Min Yu , Seong-Lyun Kim

This paper provides the signal-to-interference-plus-noise ratio (SINR) complimentary cumulative distribution function (CCDF) and average data rate of the normalized SNR-based scheduling in an uplink cellular network using stochastic…

信息论 · 计算机科学 2018-02-08 Shotaro Kamiya , Koji Yamamoto , Seong-Lyun Kim , Takayuki Nishio , Masahiro Morikura

Spatial Poisson Point Process (PPP) network, whose Base Stations (BS)s are distributed according to a Poisson distribution, is currently used as a accurate model to analyse the performance of a cellular network. Most current work on…

信息论 · 计算机科学 2016-07-13 Sinh Cong Lam , Kumbesan Sandrasegaran

Cellular systems are becoming more heterogeneous with the introduction of low power nodes including femtocells, relays, and distributed antennas. Unfortunately, the resulting interference environment is also becoming more complicated,…

信息论 · 计算机科学 2013-04-29 Robert W. Heath , Marios Kountouris , Tianyang Bai

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