Non-convex Optimization for Resource Allocation in Wireless Device-to-Device Communications
Doctoral thesis
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https://hdl.handle.net/11250/2681626Utgivelsesdato
2020Metadata
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Elnourani, M. (2020). Non-convex Optimization for Resource Allocation in Wireless Device-to-Device Communications (Doctoral thesis). University of Agder, Kristiansand.Sammendrag
Device-to-device (D2D) communication is considered one of the key frameworks to provide suitable solutions for the exponentially increasing data tra c in mobile telecommunications. In this PhD Thesis, we focus on the resource allocation for underlay D2D communications which often results in a non-convex optimization problem that is computationally demanding.
We have also reviewed many of the works on D2D underlay communications and identi ed some of the limitations that were not handled previously, which has motivated our works in this Thesis.
Our rst works focus on the joint power allocation and channel assignment problem in the D2D underlay communication scenario for a unicast single-input and single-output (SISO) cellular network in either uplink or downlink spectrums. These works also consider several degrees of uncertainty in the channel state information (CSI), and propose suitable measures to guarantee the quality of service (QoS) and reliability under those conditions. Moreover, we also present a few algorithms that can be used to jointly assign uplink and downlink spectrum to D2D pairs. We also provide methods to decentralize those algorithms with convergence guarantees and analyze their computational complexity. We also consider both cases with no interference among D2D pairs and cases with interference among D2D pairs. Additionally, we propose the formulation of an optimization objective function that combines the network rate with a penalty function that penalizes unfair channel allocations where most of the channels are assigned to only a few D2D pairs.
The next contributions of this Thesis focus on extending the previous works to cellular networks with multiple-input and multiple-output (MIMO) capabilities and networks with D2D multicast groups. We also present several methods to accommodate various degrees of uncertainty in the CSI and also guarantee di erent measures of QoS and reliability.
All our algorithms are evaluated extensively through extensive numerical experiments using the Matlab simulation environment. All of these results show favorable performance, as compared to the existing state-of-the-art alternatives.
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Paper I: Elnourani, M., Hamid, M., Romero, D. & Beferull-Lozano, B. (2018). Underlay Device-to-Device Communications on Multiple Channels. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (p. 3684-3688). IEEE. https://doi.org/10.1109/ICASSP.2018.8462424. Author´s accepted manuscript. Full-text is available in AURA as a separate file: http://hdl.handle.net/11250/2594804.Paper II: Elnourani, M., Beferull-Lozano, B., Romero, D. & Deshmukh, S. (2019). Reliable Underlay Device-to-Device Communications on Multiple Channels. In 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications. IEEE. https://doi.org/10.1109/SPAWC.2019.8815544. Author´s accepted manuscript. Full-text is available in AURA as a separate file: https://hdl.handle.net/11250/2649253.
Paper III: Elnourani, M., Deshmukh, S., Beferull-Lozano, B. & Romero, D. (Forthcoming). Robust Underlay Device-to-Device Communications on Multiple Channels. IEEE Transactions on Wireless Communications. Author´s submitted manuscript. Full-text is not available in AURA as a separate file.
Paper IV: Elnourani, M., Deshmukh, S. & Beferull-Lozano, B. (Forthcoming). Resource Allocation for Multiple Underlay Interfering Device-to-Device Communications. IEEE Transactions on Communications. Author´s submitted manuscript. Full-text is not available in AURA as a separate file.
Paper V: Elnourani, M., Deshmukh, S., Beferull-Lozano, B. & Romero, D. (2020). Robust Transmit Beamforming for Underlay D2D Communications on Multiple Channels. In 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications. IEEE. https://doi.org/10.1109/SPAWC48557.2020.9154329. Author´s accepted manuscript. Full-text is available in AURA as a separate file: https://hdl.handle.net/11250/2681633.
Paper VI: Elnourani, M., Deshmukh, S. & Beferull-Lozano, B. (2020). Reliable Underlay D2D Communications over Multiple Transmit Antenna Framework. In IEEE International Conference on Communications. IEEE. https://doi.org/10.1109/ICC40277.2020.9149079. Author´s accepted manuscript. Full-text is not available in AURA as a separate file.
Paper VII: Elnourani, M., Deshmukh, S. & Beferull-Lozano, B. (Forthcoming). Reliable Multicast D2D Communication over Multiple Channels in Underlay Cellular Networks. IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications. Author´s submitted manuscript. Full-text is not available in AURA as a separate file.
Paper VIII: Elnourani, M., Deshmukh, S. & Beferull-Lozano, B. (Forthcoming). Distributed Resource Allocation in Underlay Multicast D2D Communications. IEEE Transactions on Communications. Author´s submitted manuscript. Full-text is not available in AURA as a separate file.