Joint Load Balancing of Downlink and Uplink for eICIC in Heterogeneous Network

The 3GPP has proposed enhanced intercell interference coordination (eICIC) by making the macrocell silent in the almost blank subframes (ABSs) to mitigate interference for low-power base stations (BSs) in the downlink direction. However, two important challenges are introduced: 1) the underutilizati...

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Vydáno v:IEEE transactions on vehicular technology Ročník 66; číslo 7; s. 6388 - 6398
Hlavní autoři: Zheng, Jie, Li, Jiandong, Wang, Nannan, Yang, Xiaoniu
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.07.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Base stations
Decoupling
Downlink
Downlink (DL)/uplink (UL) decoupling (DUDe)
enhanced intercell interference coordination (eICIC)
Heterogeneous networks
heterogeneous networks (HetNets)
Integer programming
Interference
joint UL and DL
Load balancing
Load management
Macrocell networks
Mathematical models
Rounding
State of the art
Subframes
Uplink
ISSN:0018-9545, 1939-9359
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Shrnutí:The 3GPP has proposed enhanced intercell interference coordination (eICIC) by making the macrocell silent in the almost blank subframes (ABSs) to mitigate interference for low-power base stations (BSs) in the downlink direction. However, two important challenges are introduced: 1) the underutilization for macrocell in ABS and 2) the optimal downlink association may not be optimal for uplink transmission, i.e., downlink/uplink decoupling (DUDe). In this paper, we first propose a novel method based on configuring uplink transmission in the macrocell in ABSs (UM-ABS) for eICIC to improve the efficiency of the ABS. Then, the UM-ABS and DUDe are formulated as an optimization problem of investigating the joint load balancing of downlink and uplink for eICIC in heterogeneous networks (HetNets) while considering different service classes. The problem is actually a mixed binary integer programming problem, which is difficult to solve. We provide a relaxed-rounding solution to the model. Numerical results illustrate that the proposed algorithm achieves superior performance in comparison to state-of-the-art methods in terms of system throughput and the rate gain for users.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2016.2633480