Impact of user mobility on transmit power control in ultra dense networks

Ultra dense network (UDN) is considered as a promising solution to support high throughput applications with lower operational cost. However, user mobility is even tricky for UDNs, especially in high-speed cases. While handover issues have been widely studied, the impact of high mobility on resource allocation needs to be further studied. In this paper, we investigate the impact of user mobility on transmit power control (TPC) and propose two kinds of mobility-aware TPC schemes which are adaptive to user's speed intelligently: mobility-aware constant TPC (MC-TPC), mobility-aware sub-slotted TPC (MS-TPC). Investigating the distance distribution between the moving user and its access base station (BS), we derive the analytical expressions of system outage probability (OP) and energy efficiency (EE) in the mobile environment to characterize the performance of the proposed and referenced TPC schemes. Numerical results show that the proposed mobility-aware TPCs significantly improve system reliability in terms of OP and data rate, especially with the proper sub-slots division. Meanwhile, in exchange for high reliability, EE degrades within a reasonable range with the increase of moving speed.

[1]  Prasant Mohapatra,et al.  Probability Density of the Received Power in Mobile Networks , 2011, IEEE Transactions on Wireless Communications.

[2]  Stefan Parkvall,et al.  Ultra-dense networks in millimeter-wave frequencies , 2015, IEEE Communications Magazine.

[3]  Yan Shi,et al.  Energy-Efficient Transmission in Heterogeneous Wireless Networks: A Delay-Aware Approach , 2016, IEEE Transactions on Vehicular Technology.

[4]  Jorge Martínez-Bauset,et al.  Performance Analysis of Two-Tier Wireless Networks With Dynamic Traffic, Backhaul Constraints, and Terminal Mobility , 2016, IEEE Transactions on Vehicular Technology.

[5]  Xiaohu Ge,et al.  User Mobility Evaluation for 5G Small Cell Networks Based on Individual Mobility Model , 2015, IEEE Journal on Selected Areas in Communications.

[6]  Mårten Ericson Total Network Base Station Energy Cost vs. Deployment , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[7]  Man Hon Cheung,et al.  Power-Delay Tradeoff With Predictive Scheduling in Integrated Cellular and Wi-Fi Networks , 2015, IEEE Journal on Selected Areas in Communications.

[8]  Constantine Mukasa,et al.  Effect of Mobility on the Outage and BER Performances of Digital Transmissions over Nakagami- $m$ Fading Channels , 2016, IEEE Transactions on Vehicular Technology.

[9]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[10]  Ben Liang,et al.  Stochastic Geometric Analysis of User Mobility in Heterogeneous Wireless Networks , 2015, IEEE Journal on Selected Areas in Communications.

[11]  Taoka Hidekazu,et al.  Scenarios for 5G mobile and wireless communications: the vision of the METIS project , 2014, IEEE Communications Magazine.

[12]  Abu B. Sesay,et al.  Mobility-Aware Performance Evaluation of Heterogeneous Wireless Networks With Traffic Offloading , 2016, IEEE Transactions on Vehicular Technology.

[13]  Lila Boukhatem,et al.  Mobility-aware dynamic inter-cell interference coordination in HetNets with cell range expansion , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).