MISO in Ultra-Dense Networks: Balancing the Tradeoff between User and System Performance
Junyu Liu, Min Sheng, Jiandong Li

TL;DR
This paper investigates the limitations of multi-antenna beamforming in ultra-dense small cell networks, revealing a fundamental tradeoff between user coverage and network throughput, and proposing a critical density concept to optimize system performance.
Contribution
It introduces the concept of critical density to balance user coverage and throughput, and quantifies how system parameters affect this tradeoff in ultra-dense networks.
Findings
Both coverage probability and spatial throughput diminish with increasing base station density.
Single-user beamforming increases the critical density, allowing denser networks without degrading performance.
Critical density is inversely proportional to the square of the antenna height difference.
Abstract
With over-deployed network infrastructures, network densification is shown to hinder the improvement of user experience and system performance. In this paper, we adopt multi-antenna techniques to overcome the bottleneck and investigate the performance of single-user beamforming, an effective method to enhance desired signal power, in small cell networks from the perspective of user coverage probability (CP) and network spatial throughput (ST). Pessimistically, it is proved that, even when multi-antenna techniques are applied, both CP and ST would be degraded and even asymptotically diminish to zero with the increasing base station (BS) density. Moreover, the results also reveal that the increase of ST is at the expense of the degradation of CP. Therefore, to balance the tradeoff between user and system performance, we further study the critical density, under which ST could be maximized…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Technologies · Advanced Wireless Network Optimization
