2 research outputs found
Stochastic Geometry-Based Performance Bounds for Non-Fading and Rayleigh Fading Ad Hoc Networks
In this paper, we study the performance of non-fading and Rayleigh fading ad
hoc networks. We first characterize the distribution of the
signal-to-interference-plus-noise ratio (SINR) through the Laplace transform of
the inverted SINR for non-fading channels. Since most communication systems are
interference-limited, we also consider the case of negligible noise power, and
derive the upper and lower bounds for the signal-to-interference ratio (SIR)
distribution under both non-fading and fading cases. These bounds are of closed
forms and thus more convenient for theoretical analysis. Based on these
derivations, we obtain closed-form bounds for both the average Shannon and
outage rates. We also leverage the above results to study partial fading ad-hoc
systems. These results are useful for investigating and comparing
fifth-generation communication systems, for example massive multi-antenna and
small-cell networks as in our illustrative example.Comment: 11 pages, 9 figures. Submitted to IEEE Transactions on Wireless
Communication
Massive MIMO versus Small-Cell Systems: Spectral and Energy Efficiency Comparison
In this paper, we study the downlink performance of two important 5G network
architectures, i.e. massive multiple-input multiple-output (M-MIMO) and
small-cell densification. We propose a comparative modeling for the two
systems, where the user and antenna/base station (BS) locations are distributed
according to Poisson point processes (PPPs). We then leverage both the
stochastic geometry results and large-system analytical tool to study the SIR
distribution and the average Shannon and outage rates of each network. By
comparing these results, we observe that for user-average spectral efficiency,
small-cell densification is favorable in crowded areas with moderate to high
user density and massive MIMO with low user density. However, small-cell
systems outperform M-MIMO in all cases when the performance metric is the
energy efficiency. The results of this paper are useful for the optimal design
of practical 5G networks.Comment: 11 pages, 9 figures. Submitted to IEEE Transactions on Wireless
Communication