Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162971
Title: EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets
Authors: Zheng, Jie
Gao, Ling
Zhang, Haijun
Niyato, Dusit
Ren, Jie
Wang, Hai
Guo, Hongbo
Wang, Zheng
Keywords: Engineering::Computer science and engineering
Issue Date: 2021
Source: Zheng, J., Gao, L., Zhang, H., Niyato, D., Ren, J., Wang, H., Guo, H. & Wang, Z. (2021). EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets. IEEE Transactions On Wireless Communications, 20(12), 8274-8287. https://dx.doi.org/10.1109/TWC.2021.3091639
Journal: IEEE Transactions on Wireless Communications
Abstract: Interference management and power transfer can provide a significant improvement over the 5th generation mobile networks (5G) dense Internet of Things (IoT) heterogeneous networks (HetNets). In this paper, we present a novel approach to simultaneously manage inferences at the downlink (DL) and uplink (UL), and to identify opportunities for power transfer and additional UL transmissions integrated with existing protocols and infrastructures for enhanced inter-cell interference coordination (eICIC) protocol in dense IoT HetNets, while considering practical non-linear energy harvesting (EH) model. The design is formulated as the joint optimization of interference aware UL/DL decoupling, airtime resource allocation and energy transfer. The key insight of our algorithm is to translate the original, intractable joint-optimization problem into a problem space where a good approximate solution can be quickly found. We evaluate our scheme through theoretical analysis and simulation. The evaluation shows that our approach improves the system utility by over 20% compared to start-of-the-art in dense IoT HetNets. Compared to alternative schemes, our approach maintains the best user fairness and rate experience and can solve the problem in a fast and scalable way.
URI: https://hdl.handle.net/10356/162971
ISSN: 1536-1276
DOI: 10.1109/TWC.2021.3091639
Rights: © 2021 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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