Energy efficiency maximization for beyond 5G NOMA-enabled heterogeneous networks

Khan, Wali Ullah; Li, Xingwang; Ihsan, Asim; Ali, Zain; ElHalawany, Basem M.; Sidhu, Guftaar Ahmed Sardar

doi:10.1007/s12083-021-01176-5

Cited by 36 publications

(16 citation statements)

References 44 publications

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“…It can be deduced from the previous research work that NOMA contributes to wireless networks in terms of efficient access technology, considering the user association with base stations. In [22], energy efficiency is maximized by a joint solution for efficient device association and a power control mechanism based on Karush-Kuhn-Tucker conditions, and the approach was verified with simulations. In [23], power-controlled interference management for an uplink NOMA-enabled multi-cell heterogeneous environment was performed with Nakagami-m faded links.…”

Section: Prior Workmentioning

confidence: 93%

An Interference-Managed Hybrid Clustering Algorithm to Improve System Throughput

Farhan

Rizvi

2022

Sensors

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In the current smart era of 5G, cellular devices and mobile data have increased exponentially. The conventional network deployment and protocols do not fulfill the ever-increasing demand for mobile data traffic. Therefore, ultra-dense networks have widely been suggested in the recent literature. However, deploying an ultra-dense network (UDN) under macro cells leads to severe interference management challenges. Although various centralized and distributed clustering methods have been used in most research work, the issue of increased interference persists. This paper proposes a joint small cell power control algorithm (SPC) and interference-managed hybrid clustering (IMHC) scheme, to resolve the issue of co-tier and cross-tier interference in the small cell base station cluster tiers. The small cell base stations (SBSs) are categorized based on their respective transmitting power, as high-power SBSs (HSBSs) and low-power SBSs (LSBSs). The simulation results show that by implementing the IMHC algorithm for SBSs in a three-tier heterogeneous network, the system throughput is improved with reduced interference.

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Section: Prior Workmentioning

confidence: 93%

An Interference-Managed Hybrid Clustering Algorithm to Improve System Throughput

Farhan

Rizvi

2022

Sensors

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“…To prove the closed-form solution in (17), we calculate partial derivation of ( 16) with respect to s,m as…”

Section: Appendix B: Proof Of Propositionmentioning

confidence: 99%

Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks

Khan

Javed

Nguyen

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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The integration of Ambient Backscatter Communication (AmBC) with Non-Orthogonal Multiple Access (NOMA) is expected to support connectivity of low-powered Internetof-Vehicle (IoV) in the upcoming Sixth-Generation (6G) transportation system. This paper proposes an energy-efficient resource allocation framework for the AmBC-enabled NOMA IoV network under imperfect Successive Interference Cancellation (SIC) decoding. In particular, multiple Road-Side Units (RSUs) transmit superimposed signals to their associated IoVs utilizing downlink NOMA transmission. Meanwhile, the Backscatter Tags (BackTags) also transmit data symbols towards nearby IoVs by reflecting the superimposed signals of RSUs. Thus, the objective is to maximize the total energy efficiency of the NOMA IoV network subject to the minimum data rate of all IoVs. A joint problem that simultaneously optimizes the total power budget of each RSU, power allocation coefficient of IoVs and reflection power of BackTags under imperfect SIC decoding is formulated. A Dinkelbach approach is first adopted to transform the optimization problem and then the transformed problem is decoupled into two subproblems for optimal transmit power at RSUs and efficient reflection power at BackTags, respectively. To solve the problems efficiently, dual theory and Karush-Kuhn-Tucker conditions are exploited, where the Lagrangian dual variables are iteratively calculated using the subgradient method. To check the performance of the proposed framework, a benchmark optimization without backscattering is also provided. Numerical results demonstrate the superiority of the proposed AmBC-enabled NOMA IoV framework over the benchmark conventional IoV framework.

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“…Power domain (PD) NOMA is the most common type of NOMA, where the multiplexing is performed by assigning different power levels for the multiplexed messages based on the power allocation factor parameter at the transmitter, while the receiver needs to perform successive interference cancellation (SIC) operation to separate the messages [13][14][15]. Authors in [16][17][18] investigated the performance of NOMA assisted underwater optical communication system in terms of coverage probability and system OP. In [15], the authors considered a NOMA-based dual-hop hybrid RF-power line communication system in terms of OP and EC.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Dual-Hop Hybrid RF-UOWC NOMA Systems

Samir

Elsayed

El-Banna

et al. 2022

Sensors

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The hybrid combination between underwater optical wireless communication (UOWC) and radio frequency (RF) is a vital demand for enabling communication through the air–water boundary. On the other hand, non-orthogonal multiple access (NOMA) is a key technology for enhancing system performance in terms of spectral efficiency. In this paper, we propose a downlink NOMA-based dual-hop hybrid RF-UOWC with decode and forward (DF) relaying. The UOWC channels are characterized by exponential-generalized Gamma (EGG) fading, while the RF channel is characterized by Rayleigh fading. Exact closed-form expressions of outage probabilities and approximated closed-form expressions of ergodic capacities are derived, for each NOMA individual user and the overall system as well, under the practical assumption of imperfect successive interference cancellation (SIC). These expressions are then verified via Monte-Carlo simulation for various underwater scenarios. To gain more insight into the system performance, we analyzed the asymptotic outage probabilities and the diversity order. Moreover, we formulated and solved a power allocation optimization problem to obtain an outage-optimal performance. For the sake of comparison and to highlight the achievable gain, the system performance is compared against a benchmark orthogonal multiple access (OMA)-based system.

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Energy efficiency maximization for beyond 5G NOMA-enabled heterogeneous networks

Cited by 36 publications

References 44 publications

An Interference-Managed Hybrid Clustering Algorithm to Improve System Throughput

An Interference-Managed Hybrid Clustering Algorithm to Improve System Throughput

Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks

Performance Analysis of Dual-Hop Hybrid RF-UOWC NOMA Systems

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