Uplink NOMA Using Power Allocation for UAV-Aided CSMA/CA Networks

Kwon, Yohan; Baek, Hoki; Lim, Jaesung

doi:10.1109/jsyst.2020.3028884

Cited by 13 publications

(8 citation statements)

References 10 publications

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“…DF [18] Multi-beam UAV cooperative interference cancellation Mitigating co-channel interference Computational load QF [19] Spatial multiplexing and beamforming [20] Uses cloud radio access networks, spatial multiplexing and beamforming NOMA [21] [22] Based on nonorthogonal medium access TEAM framework [23] Intelligent trajectories of multi-UAVs using deep reinforcement learning…”

Section: Technique Main Advantage Main Limitationmentioning

confidence: 99%

“…The received power (𝑃 𝑅𝑥 ) = ℎ𝐶 −1 r −2 (1 − 𝑒 (−𝛽𝑟) ) −1 and the average cumulative interference can be approximated by 𝐸[𝐼 𝑟 ] = 2𝜋𝜆µ 𝐶𝛽 (2𝑅 − 𝑟) −1 , assuming the network is widely expanded 𝑅 𝑛 ⟶ ∞ and the term (𝑅 𝑛 − 𝑟) −1 ⟶ 0 in (21). The PDF [51] of the distance r between the user and the nearest EVTOL is:…”

Section: Cbsmentioning

confidence: 99%

“…Authors in [20] proposed a scheme using the cloud radio access networks, spatial multiplexing and beamforming to mitigate interference. In [21], the cooperative NOMA was proposed to avoid uplink interference. The NOMA algorithm to reduce co-channel interference for cellular-connected UAV was presented in [22].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Urban Air Mobility Communication Performance Considering Cochannel Interference

Safwat,

Sabatini,

Gardi

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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Urban Air Mobility (UAM) aims to establish a low-altitude transportation system that operates safely and efficiently to mitigate the increasing ground traffic congestion in densely populated areas. Various aircraft types, including Passenger Aerial Vehicles (PAV) and Unmanned Aerial Vehicles (UAV), will be used to provide UAM services. In this context, a large number of aircraft are expected to operate in close proximity to each other, leading to challenges in terms of communication throughput and interference. To address these challenges, this paper examines UAM communication requirements and the potential applications of cellular networks in the relevant flight environments. UAM wireless connectivity performance is analyzed focusing on co-channel interference and mathematical expressions for the Probability of Coverage (PoC) are derived using stochastic geometry. Based on these premises, the improvements in PoC attainable 0000-0000 © 2022 IEEE using interference mitigation techniques such as Frequency Reuse (FR) and Separation Distance (SD) are investigated.Then, a PoC enhancement algorithm is presented using a combined FR-SD method. Numerical verification case studies are performed in representative conditions, showing that the proposed method is able to mitigate co-channel interference, significantly reducing computational time and increasing spectrum efficiency.

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Section: Technique Main Advantage Main Limitationmentioning

confidence: 99%

Section: Cbsmentioning

confidence: 99%

See 1 more Smart Citation

Urban Air Mobility Communication Performance Considering Cochannel Interference

Safwat,

Sabatini,

Gardi

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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“…The fifth generation (5G) and beyond communication systems support numerous wireless devices and a variety of services. To meet the massive demand for data throughput, non-orthogonal multiple access (NOMA) has been proposed as a promising technology to improve the spectral efficiency of communication systems [ 1 , 2 , 3 , 4 ]. The existing NOMA schemes can be mainly divided into two categories: power domain multiplexing [ 5 , 6 ] and code domain multiplexing [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Outage Performance Analysis of Improper Gaussian Signaling for Two-User Downlink NOMA Systems with Imperfect Successive Interference Cancellation

Liu

Gao

Cheng

et al. 2023

Entropy

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The improper Gaussian signaling (IGS) technique can improve the achievable rate of an interference-limited network by fully exploiting the second-order statistics of complex signaling. This paper addresses the outage performance analysis of a two-user downlink non-orthogonal multiple access (NOMA) system using the IGS technique in the presence of imperfect successive interference cancellation (SIC). The strong channel user (SU) adopts the IGS, while the weak channel user (WU) adopts the traditional proper Gaussian signaling (PGS). Considering a practical scenario where the transmitter has obtained the statistics of the channel coefficients instead of the instantaneous channel state information (CSI), the expressions of the achievable rates of both users under residual interference due to imperfect SIC are derived, together with their outage probabilities, subject to predetermined target rates and channel statistics. Given a fixed transmit power of the WU, both the transmit power and the degree of impropriety of the SU are optimized to minimize the outage probability subject to the outage constraint of the WU. Numerical results are provided to assess the benefits of the proposed IGS-based downlink NOMA system, which are consistent with the analysis.

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“…Duan et al 5 study resource allocation for unmanned aerial vehicle (UAV) base stations (BSs) to aggregate data from internet of things (IoT) nodes from uplink NOMA and compare with OMA. Kwon et al 6 deal with power allocation in UAV‐aided uplink NOMA with carrier sense multiple access with collision avoidance (CSMA/CA) networks. Chen et al 7 derive channel capacity for NOMA with spatial modulation in the vehicular system over the Rician channel.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of NOMA uplink transmission over generalized‐K fading channels

Aslan

Gucluoglu

2021

Int J Communication

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Summary Non‐orthogonal multiple access (NOMA) can serve multiple users in the same time slot and frequency band and thus eliminate the need for guard bands and guard intervals to provide significant capacity improvements. Therefore, the research on its performance has been increasing since it is a desirable candidate for next‐generation wireless networks. Compared with orthogonal multiple access (OMA) techniques, the reliability of NOMA is lower since multiple access interference increases as the number of users is increased. Most of the previous studies on NOMA systems only consider the impact of fading in the transmission medium; however, more realistic channel models include both fading and shadowing. In this paper, outage probability (OP), average channel capacity, and symbol error rate (SER) for uplink NOMA over generalized‐K fading are derived analytically for the arbitrary number of users and then verified by Monte Carlo simulations.

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Uplink NOMA Using Power Allocation for UAV-Aided CSMA/CA Networks

Cited by 13 publications

References 10 publications

Urban Air Mobility Communication Performance Considering Cochannel Interference

Urban Air Mobility Communication Performance Considering Cochannel Interference

Outage Performance Analysis of Improper Gaussian Signaling for Two-User Downlink NOMA Systems with Imperfect Successive Interference Cancellation

Performance analysis of NOMA uplink transmission over generalized‐K fading channels

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