English
Related papers

Related papers: On the Asymptotic Behavior of Ultra-Densification …

200 papers

Assuming a network of infinite extent, several researchers have analyzed small-cell networks using a Poisson point process (PPP) location model, leading to simple analytic expressions. The general assumption has been that these results…

Information Theory · Computer Science 2015-12-11 S. Alireza Banani , Andrew W. Eckford , Raviraj S. Adve

Cell-free massive multiple-input multiple-output is a potential candidate for future networks with pervasive connectivity by utilizing coherent joint transmission and distributed antenna arrays. This paper studies the exploitation of…

Signal Processing · Electrical Eng. & Systems 2026-04-14 Trinh Van Chien , Bui Trong Duc , Mohammadali Mohammadi , Hien Quoc Ngo , Michail Matthaiou

In this paper, we propose a unified framework to analyze the performance of dense small cell networks (SCNs) in terms of the coverage probability and the area spectral efficiency (ASE). In our analysis, we consider a practical path loss…

Networking and Internet Architecture · Computer Science 2017-02-17 Bin Yang , Ming Ding , Guoqiang Mao , Xiaohu Ge

In this paper, we present a new and significant theoretical discovery. If the absolute height difference between base station (BS) antenna and user equipment (UE) antenna is larger than zero, then the network performance in terms of both…

Networking and Internet Architecture · Computer Science 2017-09-27 Ming Ding , David Lopez-Perez

Large intelligent surfaces (LISs) have been recently proposed as an effective wireless communication solution that can leverage antenna arrays deployed on the entirety of man-made structures such as walls. An LIS can provide space-intensive…

Information Theory · Computer Science 2019-08-27 Minchae Jung , Walid Saad , Youngrok Jang , Gyuyeol Kong , Sooyong Choi

Path regularization has shown to be a very effective regularization to train neural networks, leading to a better generalization property than common regularizations i.e. weight decay, etc. We propose a first near-complete (as will be made…

Machine Learning · Computer Science 2026-04-09 Hao Yu

Over the past decade, many works on the modeling of wireless networks using stochastic geometry have been proposed. Results about probability of coverage, throughput or mean interference, have been provided for a wide variety of networks…

Networking and Internet Architecture · Computer Science 2016-02-08 Alexandre Mouradian

Intelligent load balancing is essential to fully realize the benefits of dense heterogeneous networks. Current techniques have largely been studied with single slope path loss models, though multi-slope models are known to more closely…

Information Theory · Computer Science 2016-11-17 Nikhil Garg , Sarabjot Singh , Jeffrey Andrews

We consider a dense urban cellular network where the base stations (BSs) are stacked vertically as well as extending infinitely in the horizontal plane, resulting in a greater than two dimensional (2D) deployment. Using a dual-slope path…

Information Theory · Computer Science 2015-07-03 Abhishek K. Gupta , Xinchen Zhang , Jeffrey G. Andrews

Capable of significantly reducing cell size and enhancing spatial reuse, network densification is shown to be one of the most dominant approaches to expand network capacity. Due to the scarcity of available spectrum resources, nevertheless,…

Information Theory · Computer Science 2017-07-04 Junyu Liu , Min Sheng , Kan Wang , Jiandong Li

The spectral efficiency of a representative uplink of a given length, in interference-limited, spatially-distributed wireless networks with hexagonal cells, simple power control, and multiantenna linear Minimum-Mean-Square-Error receivers…

Information Theory · Computer Science 2015-03-18 Siddhartan Govindasamy , Daniel W. Bliss , David H. Staelin

We analyze the asymptotic performance of a generalized multiuser diversity scheme for an interference-limited secondary multiuser network of underlay cognitive radio systems. Assuming a large number of secondary users and that the noise at…

Information Theory · Computer Science 2019-06-13 Yazan H. Al-Badarneh , Costas N. Georghiades , Mohamed-Slim Alouini

We investigate the asymptotic properties of deep Residual networks (ResNets) as the number of layers increases. We first show the existence of scaling regimes for trained weights markedly different from those implicitly assumed in the…

Machine Learning · Computer Science 2023-01-26 Rama Cont , Alain Rossier , Renyuan Xu

Ultra-dense networks (UDNs) provide a promising paradigm to cope with exponentially increasing mobile traffic. However, little work has to date considered unsaturated traffic with quality-of-service (QoS) requirements. This paper presents a…

Information Theory · Computer Science 2018-03-30 Yu Gu , Qimei Cui , Yu Chen , Wei Ni , Xiaofeng Tao , Ping Zhang

In this paper, we consider a system of small cells assuming full duplex (FD) capable base stations (BSs) and half duplex (HD) user equipment (UEs). We investigate a mixed duplexing cellular system composed of FD and HD cells, when BSs are…

Networking and Internet Architecture · Computer Science 2017-08-31 Sanjay Goyal , Alphan Sahin , Robert L. Olesen

In this paper, we study coverage probabilities of the UAV-assisted cellular network modeled by 2-dimension (2D) Poisson point process. The cellular user is assumed to connect to the nearest aerial base station. We derive the explicit…

Information Theory · Computer Science 2018-05-14 Lai Zhou , Zhi Yang , Shidong Zhou , Wei Zhang

We consider shallow (single hidden layer) neural networks and characterize their performance when trained with stochastic gradient descent as the number of hidden units $N$ and gradient descent steps grow to infinity. In particular, we…

Machine Learning · Statistics 2022-06-02 Jiahui Yu , Konstantinos Spiliopoulos

In this paper, we focus on the coverage probability of a double-intelligent reflecting surface (IRS) assisted wireless network and study the impact of multiplicative beamforming gain and correlated Rayleigh fading. In particular, we obtain…

Information Theory · Computer Science 2021-10-19 Anastasios Papazafeiropoulos , Pandelis Kourtessis , Symeon Chatzinotas , John M. Senior

This paper considers three aspects of Massive MIMO (multiple-input multiple-output) communication networks that have received little attention in previous works, but are important to understand when designing and implementing this promising…

Information Theory · Computer Science 2015-09-23 Emil Björnson , Erik G. Larsson

This paper investigates asymptotic behavior of a stochastic SIR epidemic model, which is a system with degenerate diffusion. It gives sufficient conditions that are very close to the necessary conditions for the permanence. In addition,…

Probability · Mathematics 2015-12-24 N. T. Dieu , D. H. Nguyen , N. H. Du , G. Yin