DNA-GA: A Tractable Approach for Performance Analysis of Uplink Cellular Networks
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.
M. Ding et al., "DNA-GA: A Tractable Approach for Performance Analysis of Uplink Cellular Networks," IEEE Transactions on Communications, vol. 66, no. 1, pp. 355-369, Institute of Electrical and Electronics Engineers (IEEE), Jan 2018.
The definitive version is available at https://doi.org/10.1109/TCOMM.2017.2751552
2017 IEEE International Conference on Communications, ICC 2017 (2017: May 21-25, Paris, France)
Intelligent Systems Center
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)
Article - Conference proceedings
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01 Jan 2018