Hierarchical Power Control With Interference Allowance for Uplink Transmission in Two-Tier Heterogeneous Networks

In this paper, we propose a hierarchical power control (PC) algorithm with interference allowance (IA) in two-tier heterogeneous networks. Specifically, we consider a scenario where densely deployed femtocells exhibit on-off activity and a target macrocell base station (BS) is able to dynamically me...

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Bibliographic Details
Published inIEEE transactions on wireless communications Vol. 14; no. 2; pp. 616 - 627
Main Authors Kim, Dong In, Shin, Eun-Hee, Jin, Mi Seong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Femtocells
Interference
Macrocell networks
Power control
Product introduction
Shadow mapping
Uplink
Wireless communication
heterogeneous networks
iterative centralized sensing
hierarchical power control
interference allowance (IA)
Aggregate interference (AGGI)
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Summary:In this paper, we propose a hierarchical power control (PC) algorithm with interference allowance (IA) in two-tier heterogeneous networks. Specifically, we consider a scenario where densely deployed femtocells exhibit on-off activity and a target macrocell base station (BS) is able to dynamically measure/estimate the sum interference from femtocell users in uplink transmission. In such a scenario, to mitigate the aggregate interference (AGGI) from active femtocells, the macrocell BS first decides macrocell user power based on the average uplink power budget, and then the IA per femtocell under hierarchical structure. Femtocell users then allocate their transmit power within the IA to suppress the cross-tier interference in heterogeneous networks. The PC algorithm should reflect the number of active femtocells to effectively control the AGGI, for which we propose a centralized sensing algorithm to estimate the number of active femtocells. Further, to track both the on-off activity and the random variations due to shadowing, we implement an iterative sensing algorithm which does not require cross-tier channel gains, suitable for wireless backhaul with higher latency and lower capacity. The iterative algorithm is shown to outperform the utility-based distributed power adaptation that requires the cross-tier channel gains, in terms of total cell throughput subject to the same outage rate.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2014.2355820