2018IEEE Communications LettersRequires access

Dense Cellular Network Analysis With LoS/NLoS Propagation and Bounded Path Loss Model

Zekun Zhang, Rose Qingyang Hu

Open publisher page 16 citations

Abstract

In this letter, we analyze the coverage probability in the dense wireless networks. This letter is based on channel models that incorporate line-of-sight (LoS)/non-line-of-sight (NLoS) propagation and use the bounded path loss model (BPM). Further by using the dominant base station (BS)-based approach, the conditional distributions of inter-cell interference in the dense network is derived. Compared with the existing works where the interference is normally characterized by its Laplace transform, the dominant BS-based approximation together with the BPM and LoS/NLoS channel models is more convenient and also more accurate to evaluate new 5G wireless technologies, such as radio frequency energy harvesting and simultaneous information and energy transfer. The numerical results show that the developed analytical model achieves a high accuracy for studying the performance of dense cellular networks.

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What this paper is about

In this letter, we analyze the coverage probability in the dense wireless networks. This letter is based on channel models that incorporate line-of-sight (LoS)/non-line-of-sight (NLoS) propagation and use the bounded path loss model (BPM). Further by using the dominant base station (BS)-based approach, the conditional distributions of inter-cell interference in the dense network is derived. Compared with the existing works where the interference is normally characterized by its Laplace transform, the dominant BS-based approximation together with the BPM and LoS/NLoS channel models is more convenient and also more accurate to evaluate new 5G wireless technologies, such as radio frequency energy harvesting and simultaneous information and energy transfer. The numerical results show that the developed analytical model achieves a high accuracy for studying the performance of dense cellular networks.

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Available abstract

In this letter, we analyze the coverage probability in the dense wireless networks. This letter is based on channel models that incorporate line-of-sight (LoS)/non-line-of-sight (NLoS) propagation and use the bounded path loss model (BPM). Further by using the dominant base station (BS)-based approach, the conditional distributions of inter-cell interference in the dense network is derived. Compared with the existing works where the interference is normally characterized by its Laplace transform, the dominant BS-based approximation together with the BPM and LoS/NLoS channel models is more convenient and also more accurate to evaluate new 5G wireless technologies, such as radio frequency energy harvesting and simultaneous information and energy transfer. The numerical results show that the developed analytical model achieves a high accuracy for studying the performance of dense cellular networks.

Key concepts: Non-line-of-sight propagation, Path loss, Computer science, Log-distance path loss model, Interference (communication), Base station, Cellular network, Channel (broadcasting)

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