Interference Management in Femtocells by the Adaptive Network Sensing Power Control Technique

Tehseen Ul Hassan, Fei Gao, Babur Jalal and Sheeraz Arif
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Tehseen Ul Hassan: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Fei Gao: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Babur Jalal: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Sheeraz Arif: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

Future Internet, 2018, vol. 10, issue 3, 1-9

Abstract: The overlay integration of low-power femtocells over macrocells in a heterogeneous network (HetNet) plays an important role in dealing with the increasing demand of spectral efficiency, coverage and higher data rates, at a nominal cost to network operators. However, the downlink (DL) transmission power of an inadequately deployed femtocell causes inter-cell interference (ICI), which leads to severe degradation and sometimes link failure for nearby macrocell users. In this paper, we propose an adaptive network sensing (ANS) technique for downlink power control to obviate the ICI. The simulation results have shown that the ANS power control technique successfully decreases the cell-edge macro user’s interference and enhances the throughput performance of macro users, while also optimizing the coverage and capacity of the femtocell. When compared with the Femto User Equipment (FUE)-assisted and Macro User Equipment (MUE)-assisted power control technique, the proposed technique offers a good tradeoff in reducing interference to macro users, while maintaining the quality of service (QoS) requirement of the femtocell users.

Keywords: adaptive network sensing; femto user assisted; macro user assisted; power control inter-cell interference; path loss (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2018
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