TY - JOUR
T1 - Resource Allocation in NOMA-Based Self-Organizing Networks Using Stochastic Multi-Armed Bandits
AU - Youssef, Marie Josepha
AU - Veeravalli, Venugopal V.
AU - Farah, Joumana
AU - Nour, Charbel Abdel
AU - Douillard, Catherine
N1 - Funding Information:
Manuscript received July 24, 2020; revised January 16, 2021 and April 19, 2021; accepted June 16, 2021. Date of publication June 28, 2021; date of current version September 16, 2021. This work has been funded with support from the UBL, the GdR ISIS, the Lebanese University, and the US National Science Foundation SpecEES program under grant number 1730882, throughout the University of Illinois at Urbana-Champaign (UIUC). The associate editor coordinating the review of this article and approving it for publication was G. Iosifidis. (Corresponding author: Marie-Josepha Youssef.) Marie-Josepha Youssef, Charbel Abdel Nour, and Catherine Douil-lard are with the LabSTICC, IMT Atlantique, UBL, F-29238 Brest, France (e-mail: [email protected]; charbel.abdelnour@ imt-atlantique.fr; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2021/9
Y1 - 2021/9
N2 - To achieve better connectivity in future communication networks, the deployment of different types of access points (APs) is underway. APs are expected to be equipped with self-organizing capabilities to reduce costs. Moreover, due to the spectrum crunch, frequency reuse among the deployed APs is inevitable, exacerbating the problem of inter-cell interference (ICI). Therefore, ICI mitigation in self-organizing networks (SONs) is commonly identified as a key radio resource management mechanism to enhance performance. To this end, this paper proposes a novel solution for the uncoordinated channel and power allocation problems. Based on the multi-armed bandits (MAB) framework, the proposed technique does not require any communication between the APs. The case of varying channel rewards across APs is considered. In contrast to previous work on channel allocation using the MAB framework, APs are permitted to choose multiple channels for transmission. Moreover, non-orthogonal multiple access is used, allowing multiple APs to access each channel simultaneously. This results in an MAB model with varying channel rewards, multiple plays and non-zero reward on collision. The proposed algorithm has an expected regret in the order of O(\log ^2T) , with extensive numerical results revealing it significantly outperforms a well-known baseline algorithm in terms of energy efficiency.
AB - To achieve better connectivity in future communication networks, the deployment of different types of access points (APs) is underway. APs are expected to be equipped with self-organizing capabilities to reduce costs. Moreover, due to the spectrum crunch, frequency reuse among the deployed APs is inevitable, exacerbating the problem of inter-cell interference (ICI). Therefore, ICI mitigation in self-organizing networks (SONs) is commonly identified as a key radio resource management mechanism to enhance performance. To this end, this paper proposes a novel solution for the uncoordinated channel and power allocation problems. Based on the multi-armed bandits (MAB) framework, the proposed technique does not require any communication between the APs. The case of varying channel rewards across APs is considered. In contrast to previous work on channel allocation using the MAB framework, APs are permitted to choose multiple channels for transmission. Moreover, non-orthogonal multiple access is used, allowing multiple APs to access each channel simultaneously. This results in an MAB model with varying channel rewards, multiple plays and non-zero reward on collision. The proposed algorithm has an expected regret in the order of O(\log ^2T) , with extensive numerical results revealing it significantly outperforms a well-known baseline algorithm in terms of energy efficiency.
KW - MAB with multiple plays and non-zero reward on collision
KW - NOMA
KW - Uncoordinated channel and power allocation
KW - self-organizing networks
KW - varying reward distribution
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U2 - 10.1109/TCOMM.2021.3092767
DO - 10.1109/TCOMM.2021.3092767
M3 - Article
AN - SCOPUS:85112238178
SN - 0090-6778
VL - 69
SP - 6003
EP - 6017
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 9
ER -