QoS-Aware User Association and Resource Allocation in LAA-LTE/WiFi Coexistence Systems

The licensed-assisted access-based long term evolution (LAA-LTE) is a promising solution to provide enhanced LTE services by sharing unlicensed bands with WiFi systems. However, the intense contention with the incumbent WiFi system makes it challenging for the LAA-LTE system to support guaranteed qu...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2019-04, Vol.18 (4), p.2415-2430
Main Authors: Tan, Junjie, Xiao, Sa, Han, Shiying, Liang, Ying-Chang, Leung, Victor C. M.
Format: Article
Language:English
Subjects:
Algorithms
coexistence system
Computer simulation
Licensed-assisted access (LAA)
Long Term Evolution
long term evolution (LTE)
Measurement
Optimization
Power management
Protocols
Quality of service
quality-of-service (QoS)
Resource allocation
Resource management
Subcarriers
Throughput
unlicensed band
Wireless fidelity
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Summary:The licensed-assisted access-based long term evolution (LAA-LTE) is a promising solution to provide enhanced LTE services by sharing unlicensed bands with WiFi systems. However, the intense contention with the incumbent WiFi system makes it challenging for the LAA-LTE system to support guaranteed quality-of-service (QoS) for the users. This paper is interested in the QoS-aware LAA-LTE/WiFi coexistence system. We first propose a flexible coexistence framework using the listen-before-talk mechanism, based on which the QoS metrics of LAA-LTE and WiFi systems are quantified. Then, a joint user association and resource allocation problem is formulated, which aims to maximize the number of QoS-preferred users supported by LAA-LTE, while protecting the WiFi users. The considered optimization problem is equivalently decomposed into two subproblems, the sum-power minimization problem and the user association problem. For the first subproblem, the deep-cut ellipsoid method is adopted to optimize the LAA-LTE transmission time, subcarrier assignment, and power allocation. For the latter one, an efficient algorithm called successive user removal is proposed. The simulation results have demonstrated the effectiveness of the proposed scheme, based on which the tradeoff among different QoS metrics in the coexistence system is observed.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2019.2904257