5G green cellular networks considering power allocation schemes
Xiaohu Ge, Jiaqi Chen, Cheng-xiang Wang, John Thompson, Jing Zhang

TL;DR
This paper evaluates how different power allocation schemes, specifically average and water-filling, impact the energy efficiency of 5G MIMO cellular networks, highlighting the benefits of water-filling when CSI is available.
Contribution
It introduces an energy efficiency model for MIMO random cellular networks considering power allocation schemes and compares their effects under various conditions.
Findings
Water-filling improves energy efficiency over average power allocation.
Maximum energy efficiency limits exist regardless of mobile station to base station ratios.
Channel state information availability enhances the benefits of water-filling scheme.
Abstract
It is important to assess the effect of transmit power allocation schemes on the energy consumption on random cellular networks. The energy efficiency of 5G green cellular networks with average and water-filling power allocation schemes is studied in this paper. Based on the proposed interference and achievable rate model, an energy efficiency model is proposed for MIMO random cellular networks. Furthermore, the energy efficiency with average and water-filling power allocation schemes are presented, respectively. Numerical results indicate that the maximum limits of energy efficiency are always there for MIMO random cellular networks with different intensity ratios of mobile stations (MSs) to base stations (BSs) and channel conditions. Compared with the average power allocation scheme, the water-filling scheme is shown to improve the energy efficiency of MIMO random cellular networks…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
