Throughput and Energy Efficiency Analysis of Small Cell Networks with Multi-antenna Base Stations
C. Li, J. Zhang, K. B. Letaief

TL;DR
This paper presents an analytical framework for evaluating the throughput and energy efficiency of small cell networks with multi-antenna base stations, considering random deployments and providing insights into optimal network configurations.
Contribution
It introduces a tractable analytical model for small cell network performance, incorporating multi-antenna transmissions and deriving optimal deployment strategies.
Findings
Increasing BS density or antennas boosts throughput.
Energy efficiency peaks at certain BS densities and antenna counts.
Optimal configurations depend on power consumption components.
Abstract
Small cell networks have recently been proposed as an important evolution path for the next-generation cellular networks. However, with more and more irregularly deployed base stations (BSs), it is becoming increasingly difficult to quantify the achievable network throughput or energy efficiency. In this paper, we develop an analytical framework for downlink performance evaluation of small cell networks, based on a random spatial network model, where BSs and users are modeled as two independent spatial Poisson point processes. A new simple expression of the outage probability is derived, which is analytically tractable and is especially useful with multi-antenna transmissions. This new result is then applied to evaluate the network throughput and energy efficiency. It is analytically shown that deploying more BSs or more BS antennas can always increase the network throughput, but the…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
