Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion
Yuhao Zhang, Zhiyan Cui, Qimei Cui, Xinlei Yu, Yinjun Liu, Weiliang, Xie, and Yong Zhao

TL;DR
This paper introduces a flexible extra cell range expansion framework for heterogeneous cellular networks, analyzing its impact on energy efficiency through stochastic geometry and providing practical design insights.
Contribution
It proposes a novel extra cell range expansion method with an additional bias factor, enabling better energy efficiency analysis in two-tier HCNs.
Findings
Extra CRE improves energy efficiency in HCNs.
Deploying more small cells enhances EE coverage up to a threshold.
Theoretical analysis aligns with numerical simulations.
Abstract
The split control and user plane is key to the future heterogeneous cellular network (HCN), where the small cells are dedicated for the most data transmission while the macrocells are mainly responsible for the control signaling. Adapting to this technology, we propose a general and tractable framework of extra cell range expansion (CRE) by introducing an additional bias factor to enlarge the range of small cells flexibly for the extra offloaded macrousers in a two-tier HCN, where the macrocell and small cell users have different required data rates. Using stochastic geometry, we analyze the energy efficiency (EE) of the extra CRE with joint low power transmission and resource partitioning, where the coverages of EE and data rate are formulated theoretically. Numerical simulations verify that the proposed extra CRE can improve the EE performance of HCN, and also show that deploying more…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
