Energy optimization for full-duplex self-backhauled HetNet with non-orthogonal multiple access

Lei, Lei; Lagunas, Eva; Maleki, Sina; He, Qinming; Chatzinotas, Symeon; Ottersten, Björn

doi:10.1109/spawc.2017.8227665

Cited by 6 publications

(6 citation statements)

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“…This also means that NOMA yields better capability in supporting UEs' increasing demand. In practice, the total power consumption also grows successively with increase of number of UEs and BSs, and the level of residual self-interference [3], [5]. In contrast, power increases exponentially with the UEs' demand, and thus it is considered as a dominant factor in the simulation.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Downlink data transmission, i.e., MBS-to-SBSs and SBS-to-UEs, is considered. The basic notations are shown in Table I [5], [7], where…”

Section: System Modelmentioning

confidence: 99%

“…Extensive studies have been devoted to resource allocation [3] and performance analysis of outage probability [4] in FD single-cell NOMA. Lei et al [5] have studied an FD-NOMA-based relaying systems with one MBS and one SBS. In [6], an FD-based massive MIMO system for both downlink and uplink has been investigated.…”

Section: Introductionmentioning

confidence: 99%

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NOMA Aided Interference Management for Full-Duplex Self-Backhauling HetNets

et al. 2018

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The presence of mutual-coupled interference in full-duplex self-backhauling heterogeneous networks raises challenges and difficulties in practical scenarios. In this letter, we address this issue by developing a two-tier non-orthogonal multiple access (NOMA) scheme together with efficient power control to enable aggressive frequency reuse and alleviate co-channel interference. For the considered multi-tier and multicell NOMA scenario, we formulate a power minimization problem, and develop an efficient algorithm with guaranteed convergence to enable optimal power control, such that users' data demand is satisfied and backhauling bottleneck is avoided. Numerical results show the fast convergence of the proposed algorithm, and demonstrate that NOMA is in particular favorable for the high-demand cases in power savings.

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Section: Numerical Resultsmentioning

confidence: 99%

“…Downlink data transmission, i.e., MBS-to-SBSs and SBS-to-UEs, is considered. The basic notations are shown in Table I [5], [7], where…”

Section: System Modelmentioning

confidence: 99%

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NOMA Aided Interference Management for Full-Duplex Self-Backhauling HetNets

et al. 2018

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“…In [24], the authors considered perfect and imperfect channel state information (CSI) to maximize EE by using a heuristic algorithm in 5G NOMA HetNets subject to QoS and maximum transmit power constraints. In [25], authors presented a spectrumefficient, energy-efficient, and delay-constrained heuristic algorithm to reduce energy consumption subject to the constraints of delay and QoS for full-duplex self-backhauled (FS) HetNets. In [26], the authors proposed a fair power allocation (FPA) approach to maximize the EE subject to the constraint of transmit powers for UEs in a two-tier downlink ultra-dense HetNet with NOMA.…”

Section: A Literature Reviewmentioning

confidence: 99%

Energy Efficient Resource Allocation for H-NOMA Assisted B5G HetNets

et al. 2022

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The resource allocation solution offered based on Non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA) schemes are sub-optimal to address the challenging quality of service (QoS) and higher data rate viz-a-viz energy efficiency (EE) requirements in 5th generation (5G) cellular networks. In this work, we maximize the EE using user equipment (UE) clustering (UE-C) with downlink hybrid NOMA (H-NOMA) assisted beyond 5G (B5G) HetNets. We formulate an optimization problem incorporating UE admission in a cluster, UE association with a base station (BS), and power allocation assisted by H-NOMA, i.e., OMA and NOMA schemes in the macro base station (MBS) only and heterogeneous networks (HetNets) environments. The problem formulated is a type of non-linear concave fractional programming (CFP) problem. The Charnes-Cooper transformation (CCT) is applied to the formulated non-linear CFP problem to convert it into a concave optimization, i.e., mixed-integer nonlinear programming (MINLP) problem. A two-phase ϵ-optimal outer approximation algorithm (OAA) is used to solve the MINLP problem. The simulation results show that H-NOMA with HetNets outperforms H-NOMA with MBS only in terms of UE admission, UE association, throughput, and EE. INDEX TERMS UE-clustering, H-NOMA, fractional programming, MINLP, energy efficiency I. INTRODUCTIONT HE rapid growth in the number of mobile user equipment (UE), and heavy data-driven applications, i.e., live video gaming, video streaming, social networking, etc are imposing challenging requirements like minimum delay, higher data rates, spectrum efficiency (SE), and energy efficiency (EE) on the beyond 5th Generation (B5G) cellular networks. This exponential growth in mobile UEs viz-aviz mobile data traffic is adding to a significant increase in the energy consumption in cellular networks. Information communication technology (ICT) is consuming almost 2% of the world's total energy. Energy consumption emits carbon which causes the greenhouse effect. Thus, ICT offering higher data rates, low carbon emission, and EE are the prime considerations in B5G cellular networks. Thus, academia and industry in the wireless communication field must divert their research towards future energy-efficient green cellular networks in B5G networks [1]-[3]. The abbreviations used in this work are defined in Table A1 of Appendix A.Energy-efficient radio resource management techniques are required to satisfy the needs for quality of service (QoS) and higher data rates with minimum energy consumption. EE is the ratio of data rate to the total energy consumed [4], [5].EE can be improved using heterogeneous networks (Het-Nets), which include a macro base station (MBS) and small base stations (SBSs) [6]- [8]. HetNets cover more geographical areas and offer higher data rates and are energy efficient than the conventional MBS-only networks. In HetNets, MBS is large with high transmit power, and SBSs (i.e., femtocell, picocell, etc.) are of small size with low transmit power [9]. A low transmit-powered SBS...

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“…Reference [13] maximized energy efficiency for full-duplex cooperative NOMA with power allocation. In [14], an energy-efficient scheduling scheme for FD-NOMA-based in-band self-backhauling heterogeneous networks was proposed. In addition, both [15] and [16] considered FD cooperative NOMA scheme and HD cooperative NOMA scheme from different aspects, and proposed a novel scheme, which can dynamically switch between two schemes.…”

Section: Introductionmentioning

confidence: 99%

Transceiver Design for Downlink SWIPT NOMA Systems With Cooperative Full-Duplex Relaying

et al. 2019

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This paper studies the application of simultaneous wireless information and power transfer (SWIPT) to downlink non-orthogonal multiple access (NOMA) system. A novel cooperative NOMA protocol for high communication reliability and user fairness is proposed, where a near NOMA user acts as a full-duplex (FD) energy-harvesting relay to help transmission from the source node S to the far NOMA user. The power splitting (PS) architecture is adopted at the relay to perform the SWIPT. The aim is to maximize the data rate of the near NOMA user while satisfying the QoS requirement of the far NOMA user and the energy causality condition of the near NOMA user. The formulated problem is a non-convex fractional programming. By jointly optimizing the power allocation factor, the PS ratio, the receiver filter, and the transmit beamforming, we propose alternative optimization (AO)-based algorithm to obtain an optimal solution. In addition, a low-complexity suboptimal scheme is proposed and the semi-closed form solution is derived to characterize the performance of our proposed design. The simulation results verify the correctness of theoretical analysis and show performance gain of our proposed protocol over the existing transmission protocols. INDEX TERMS Non-orthogonal multiple access (NOMA), simultaneous wireless information and power transfer (SWIPT), power splitting, full-duplex relaying, alternative optimization (AO), suboptimal scheme.

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Energy optimization for full-duplex self-backhauled HetNet with non-orthogonal multiple access

Cited by 6 publications

References 11 publications

NOMA Aided Interference Management for Full-Duplex Self-Backhauling HetNets

NOMA Aided Interference Management for Full-Duplex Self-Backhauling HetNets

Energy Efficient Resource Allocation for H-NOMA Assisted B5G HetNets

Transceiver Design for Downlink SWIPT NOMA Systems With Cooperative Full-Duplex Relaying

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