Dense Small Cell Networks: From Noise-Limited to Dense Interference-Limited

Abstract

Abstract-Considering both non-line-of-sight (NLoS) and lineof-sight (LoS) transmissions, the transitional behaviors from noise-limited regime to dense interference-limited regime have been investigated for the fifth generation (5G) small cell networks (SCNs). Besides, we identify four performance regimes based on base station (BS) density, i.e., (i) the noise-limited regime, (ii) the signal-dominated regime, (iii) the interference-dominated regime, and (iv) the interference-limited regime. To characterize the performance regime, we propose a unified framework analyzing the future 5G wireless networks over generalized shadowing/fading channels, in which the user association schemes based on the strongest instantaneous received power (SIRP) and the strongest average received power (SARP) can be studied, while NLoS/LoS transmissions and multi-slop path loss model are considered. Simulation results indicate that different factors, i.e., noise, desired signal, and interference, successively and separately dominate the network performance with the increase of BS density. Hence, our results shed new light on the design and management of SCNs in urban and rural areas with different BS deployment densities.

Toward a Unified Framework for Analysis of Multi-RAT Heterogeneous Wireless Networks

“…According to [17], the SINR coverage decreases after a certain threshold, due to increased interference with smaller path loss exponents, which is in contrast to widely used results as reported in [4]. A detailed investigation has been presented in [18] by exploring four different performance regimes while transitioning from sparse to dense networks. Results similar to [17] are reported, where, after a certain threshold, the SIR coverage no longer remains constant; however, the area spectral efficiency increases linearly.…”

“…Some recent studies have investigated the fundamental limits on densification of cellular network by assuming different path loss models and fading distributions [17][18][19][20]. According to [17], the SINR coverage decreases after a certain threshold, due to increased interference with smaller path loss exponents, which is in contrast to widely used results as reported in [4].…”

“…Dense multi-RAT HetNets would be a key aspect of future wireless networks [2]. According to some studies [17,18], the degradation in coverage, provided by dense small cell networks, after a certain limit is expected. Therefore, in order to meet the demands in coming future, the focus must be shifted from single-RAT to multi-RAT HetNets.…”

Coverage and Rate Analysis for Unmanned Aerial Vehicle Base Stations with LoS/NLoS Propagation

“…Since the UAV-BS that provides the strongest average SINR also provides the strongest average received power [17], the probability that the typical user is associated with a LoS UAV-BS is then given by…”

Performance Analysis of Cellular Radio Access Networks Relying on Control- and User-Plane Separation

“…The channel models used in aforementioned literatures only considered the NLoS path loss mode. However, the shorter transmission distance in the UP results in predominantly line-of-sight (LoS) transmissions [8]. In [9], the authors studied CUPS based RAN slicing, and the validity of CUPS was proved by a testbed facilitated by software defined radio and LTE Release 8.…”