Title

DNA-GA: A Tractable Approach for Performance Analysis of Uplink Cellular Networks

Abstract

In this paper, we propose a tractable semi-analytical approach for the network performance analysis of uplink (UL) cellular networks, which is based on a deterministic network analysis using a Gaussian approximation (DNA-GA). The key contribution of this paper is to investigate the UL signal-to-interference ratio (SIR) performance using the DNA-GA analysis. In particular, the SIR is modeled as a ratio of two random variables (RVs), representing the signal power and the aggregate interference power, respectively. The signal power is further characterized by a product of two RVs, i.e., a lognormal RV and an RV with an arbitrary distribution. The former RV comes from a common assumption of lognormal shadow fading, and the latter one takes the rest of random factors into account, such as random user positions, arbitrary types of multi-path fading, and so on. The aggregate interference power is approximated by an RV with a power lognormal distribution. The proposed DNA-GA analysis has several desirable features: 1) it naturally considers lognormal shadow fading; 2) it can treat arbitrary shape and/or size of cell coverage areas; 3) it can handle non-uniform user distributions; 4) it can cope with any type of multi-path fading; and 5) it can be applied to multi-antenna base stations. These features make the DNA-GA analysis very useful for the network performance analysis of the 5th generation systems with general cell deployment and user distribution.

Meeting Name

2017 IEEE International Conference on Communications, ICC 2017 (2017: May 21-25, Paris, France)

Department(s)

Computer Science

Keywords and Phrases

Aggregates; Codes (symbols); DNA; Fading channels; Microscopic examination; Mobile telecommunication systems; Network performance; Wave interference; Wireless networks; 3GPP; approximation; Gaussians; Log-normal; Macro cells; Signal-to-interference ratio (SIR); Small cell Networks(SCNs); Uplink; Multipath fading; Lognormal; Performance analysis; Power lognormal

International Standard Serial Number (ISSN)

0090-6778; 558-0857

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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