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2 publications found

Outage capacity of opportunistic beamforming with random user locations

Tharaka Samarasinghe, Hazer Inaltekin, Jamie S. Evans

Conference GLOBECOM Global Communications Conference (GLOBECOM), 2013 IEEE · 2014 · Cited by 21

Wireless CommunicationsCommunication Theory and Coding

Abstract

This paper studies the outage capacity of a network consisting of a multitude of heterogeneous mobile users and operating according to the classical opportunistic beamforming framework. The base station is located at the center of the cell, which is modeled as a disk of finite radius. The random user locations are modeled using a homogeneous spatial Poisson point process. The received signals are impaired by both fading and location dependent path loss. For this system, we first derive an expression for the beam outage probability. This expression holds for all path loss models that satisfy some mild conditions. Then, we focus on two specific path loss models ( i.e. , an unbounded model and a more realistic bounded one) to illustrate the applications of our results. In the large system limit, where the cell radius tends to infinity, the beam outage capacity and its scaling behavior are derived for the selected specific …

Multi-cell opportunistic beamforming in interference-limited networks

Meng Wang, Tharaka Samarasinghe, Jamie S. Evans

Conference AusCTW 2014 Australian Communications Theory Workshop (AusCTW) , pp. 126-131 · 2014 · Cited by 2

Wireless CommunicationsCommunication Theory and Coding

Abstract

In this paper, we consider a cellular network operating according to the classical opportunistic beamforming and scheduling scheme. In a multi-cell network, interference is the main bottleneck on the communication rate, compared to noise. In this paper, we focus on deriving the ergodic downlink sum-rate scaling law for the system of interest considering an interference-limited regime (i.e., the high SNR region). More specifically, through deriving the moment generating function of the sum-rate, we show that the ergodic downlink sum-rate scales logarithmically as the number of users grows large. This result is different from the well-known double logarithmic sum-rate growth with increasing number of users due to the interference-limited assumption. Finally, numerical results are also presented to validate our analysis and provide further insights.