Device-to-Device Load Balancing for Cellular Networks
Lei Deng, Yinghui He, Ying Zhang, Minghua Chen, Zongpeng Li, Jack Y., B. Lee, Ying Jun Zhang, and Lingyang Song

TL;DR
This paper proposes device-to-device load balancing in small-cell cellular networks to mitigate traffic fluctuations, improve spectrum efficiency, and reduce spectrum requirements by 25% with minimal D2D overhead.
Contribution
It introduces a novel D2D load balancing mechanism, providing theoretical analysis and empirical validation for spectrum efficiency improvements in small-cell networks.
Findings
D2D load balancing reduces spectrum requirements by 25%.
The D2D traffic overhead is only 0.7%.
The approach effectively mitigates traffic fluctuation issues.
Abstract
Small-cell architecture is widely adopted by cellular network operators to increase network capacity. By reducing the size of cells, operators can pack more (low-power) base stations in an area to better serve the growing demands, without causing extra interference. However, this approach suffers from low spectrum temporal efficiency. When a cell becomes smaller and covers fewer users, its total traffic fluctuates significantly due to insufficient traffic aggregation and exhibiting a large "peak-to-mean" ratio. As operators customarily provision spectrum for peak traffic, large traffic temporal fluctuation inevitably leads to low spectrum temporal efficiency. In this paper, we advocate device-to-device (D2D) load-balancing as a useful mechanism to address the fundamental drawback of small-cell architecture. The idea is to shift traffic from a congested cell to its adjacent…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
