Efficient LTE/Wi-Fi Coexistence in Unlicensed Spectrum Using Virtual Network Entity: Optimization and Performance Analysis

Long-term evolution (LTE) operation in the unlicensed spectrum is a promising solution to address the scarcity of licensed spectrum for cellular networks. Although this approach brings higher capacity for LTE networks, the Wi-Fi performance operating in this band can be significantly degraded. To ad...

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Bibliographic Details
Published in:IEEE transactions on communications 2018-06, Vol.66 (6), p.2617-2629
Main Authors: Dalili Shoaei, Atoosa, Derakhshani, Mahsa, Le-Ngoc, Tho
Format: Article
Language:English
Subjects:
adaptive resource allocation
Admission control
Cellular communication
coexistence
complementary geometric programming
Computer simulation
Delays
Iterative algorithms
Iterative methods
Long Term Evolution
LTE-U
Mathematical programming
Mobile communication systems
Multiaccess communication
Multiple access
Optimization
Spectrum allocation
Throughput
Uplink
Upper bounds
virtualization
Wi-Fi
Wireless communications
Wireless fidelity
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Summary:Long-term evolution (LTE) operation in the unlicensed spectrum is a promising solution to address the scarcity of licensed spectrum for cellular networks. Although this approach brings higher capacity for LTE networks, the Wi-Fi performance operating in this band can be significantly degraded. To address this issue, we consider a coordinated structure, in which both networks are controlled by a higher level network entity. In such a model, LTE users can transmit in the assigned time-slots, while Wi-Fi users can compete with each other by using p-persistent carrier sense multiple access (CSMA) in their exclusive timeshare. In an unsaturated network, at each duty cycle, the timedivision multiple access (TDMA) scheduling for LTE users and p values for Wi-Fi users should be efficiently updated by the central controller. The corresponding optimization problem is formulated and an iterative algorithm is developed to find the optimal solution using complementary geometric programming and monomial approximations. Aiming to address the qualityof-service assurance for LTE users, an upper bound for average delay of these users is obtained. This analysis could be a basis for the admission control of LTE users in unlicensed bands. The simulation results reveal the performance gains of the proposed algorithm in preserving the Wi-Fi throughput requirement.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2018.2801789