On performance of full-duplex UAV system with multiple NOMA users and millimeter-wave communications

Nguyen, Ba Cao; Hoang, Tran Manh; Dung, Le The; Kim, Taejoon; Vinh, Nguyen Van

doi:10.1016/j.phycom.2022.101895

Cited by 6 publications

(3 citation statements)

References 42 publications

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“…Replacing ( 27) into (23), we obtain (20). By applying similar ways, we can derive (18) and (19). The detailed proofs are provided in the Appendix.…”

Section: Performance Analysis a Ergodic Capacity Analysismentioning

confidence: 98%

“…Unlike traditional orthogonal multiple access technologies, NOMA offers an innovative approach that enables multiple users to simultaneously access the same resources in a non-orthogonal manner, thereby significantly improving spectral efficiency and accommodating a larger number of users within a given communication channel [19]. As a result, when IRS is combined with NOMA, the performance and coverage as well as the number of users of wireless systems are dramatically enhanced [16], [18], [19], [23], [24]. However, a combination of AIRS and NOMA was not studied.…”

Section: Introductionmentioning

confidence: 99%

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Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces

Phu,

Nguyen,

Voznak

et al. 2023

IEEE Access

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In this paper, we propose to utilize multiple aerial intelligent reflecting surfaces (AIRSs) for significantly enhancing the ergodic capacity of a non-orthogonal multiple access (NOMA) network. Unlike previous works where only one AIRS was often utilized to support only two NOMA users, Q AIRSs and L users are applied in the proposed NOMA-AIRS network. We mathematically derive the ergodic capacity (EC) expressions at the multiple users of the proposed NOMA-AIRS network over Nakagami-m channels recommended for use in the fifth and beyond generations (5G & B5G) of mobile communications. Numerical results show that the proposed NOMA-AIRS network can deeply exploit the advantages of AIRSs. In particular, by using Q = 4 AIRSs where each AIRS has 20 reflecting elements (REs), the ECs of the proposed NOMA-AIRS network are significantly higher than the ECs of the conventional NOMA network (without AIRSs). Moreover, the ECs of the proposed NOMA-AIRS network can be two times higher than those of the conventional NOMA network in the low transmit power regime. However, if the transmit power is high enough, the benefits of AIRSs are reduced due to the NOMA features. Besides confirming the advantages of AIRSs, the effects of key parameters such as the number of REs and total of REs in the AIRSs, bandwidth, altitudes of AIRSs, and carrier frequency are thoroughly determined. Based on the achieved observations, we give some recommendations to enhance the EC performance of the proposed NOMA-AIRS network in practice scenarios.INDEX TERMS Non-orthogonal multiple access, aerial intelligent reflecting surface, multiuser systems, moment functions, ergodic capacity.

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“…Replacing ( 27) into (23), we obtain (20). By applying similar ways, we can derive (18) and (19). The detailed proofs are provided in the Appendix.…”

Section: Performance Analysis a Ergodic Capacity Analysismentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces

Phu,

Nguyen,

Voznak

et al. 2023

IEEE Access

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“…However, neither Bhowmick et al 41 nor Do and Le 42 considered the adaptive approach of underlay/overlay mode of operation in full duplex transmission. The authors of previous works [43][44][45] have investigated the outage performance of a wireless network that utilises full-duplex UAV assistance and operates based on NOMA without considering the CR network approach. In this regard, extensive literature survey has further motivated for the present work that takes into account the role of CR network comprising of joint underlay/ overlay transmission mode assisted by full duplex UAV relay in EH environment.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Outage and throughput performance analysis of smart UAV‐assisted full‐duplex NOMA‐based energy harvesting cognitive radio networks

Kumar Bag,

Samanta,

Kumar De

et al. 2023

Int J Communication

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SummaryIn this paper, the throughput and outage performance for an unmanned aerial vehicle (UAV)‐assisted non‐orthogonal multiple access (NOMA)‐based hybrid cognitive radio (CR) network are examined under m‐Nakagami fading channel. To be more specific, a secondary source transmitter () broadcasts a NOMA‐enabled mixed signal to secondary destinations via UAV relay, which operates in full‐duplex (FD) mode and employs decode‐and‐forward protocol. In our approach, an energy harvesting (EH) circuit is employed at both and UAV to harvest energy from the PU radio frequency (RF) signals. These secondary transmitters are also incorporated with energy detector (ED) circuit as well, which detects the activity of the primary user (PU). The status of PU to be busy or idle is confirmed on the basis of the energy detector's results. In turn, this drives and UAV to switch between underlay and overlay protocols in an adaptive manner to increase spectrum efficiency (SE). The closed form mathematical expressions of the secondary outage probability for NOMA‐based UAV equipped CR networks under imperfect successive interference cancellation (i‐SIC) conditions have been evaluated. The administration of the power allocation policy at the and UAV is assessed while maintaining the PU quality of service (QoS). Finally, MATLAB simulation testbed has been used to verify all the analytical closed form expressions.

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Joint User Scheduling, Trajectory, Beamforming and Power Allocation for Millimeter-Wave Full-Duplex UAV Relay

Shi,

Du,

Chen

2024

Wireless Pers Commun

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On performance of full-duplex UAV system with multiple NOMA users and millimeter-wave communications

Cited by 6 publications

References 42 publications

Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces

Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces

Outage and throughput performance analysis of smart UAV‐assisted full‐duplex NOMA‐based energy harvesting cognitive radio networks

Joint User Scheduling, Trajectory, Beamforming and Power Allocation for Millimeter-Wave Full-Duplex UAV Relay

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