A Quasi-Perfect Resource Allocation Scheme for Optimizing the Performance of Cell-Edge Users in FFR-Aided LTE-A Multicell Networks

Zheng, Chuangming; Zhang, Hailin

doi:10.1109/lcomm.2019.2908372

Cited by 8 publications

(7 citation statements)

References 10 publications

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“…Especially, as mMTC is expected, a single macrocell may need to support 10,000 or more low-rate devices [15], weak received signals at the CEUs will result in the increased number of retransmissions and reduced battery lifetime. Therefore, to improve the performance of CEUs and the fairness among all the users in a macrocell, a number of schemes have been proposed from the perspective of soft frequency reuse (SFR) [16], resource allocation [17] coordinated multiple points (CoMP) transmission [18] and data attachment [19].…”

Section: And Mmtcmentioning

confidence: 99%

“…Proposition 1: For the block diagonal matrixH eff given in (17), the perturbation vector l ZF optimized according to (20) could be decomposed into U low dimensional optimization problems:…”

Section: E Low Complexity Baseband Sfvp Precodermentioning

confidence: 99%

“…Lemma 4: For the dual channel of the equivalent broadcast channel given in (17), i.e.,H H eff , with LLL lattice reduction, H =H H eff T, then the orthogonality deficiency od(H) ≤ , ∀ H, and ∈ (0, 1).…”

Section: Performance Analysis a Diversity Performancementioning

confidence: 99%

“…Proof: For the M × M dual channel matrixH H eff infered from the equivalent broadcast channel given in (17)…”

Section: Performance Analysis a Diversity Performancementioning

confidence: 99%

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OAM-Based Concentric Spatial Division Multiplexing for Cellular IoT Terminals

et al. 2020

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Internet of Things (IoT) is an emerging network that aims to connect massive devices for exchanging information with each other. There have been various IoT access techniques, such as RFID, Blue Tooth, WiFi, LoRa and cellular IoT, in which cellular IoT has advantages in wide coverage and the economical reuse of exsiting cellular infrastructure. However, cellular base station (BS) consumes most of the energy in wireless communication networks. Therefore, improving the energy efficiency (EE) of the BS is of great importance to make cellular IoT green. In this paper, we propose a novel orbital angular momentum (OAM)-based concentric spatial division multiplexing (CSDM) downlink transmission scheme for cellular IoT terminals. Specifically, the hybrid radio frequency (RF) and baseband CSDM scheme exploits analog OAM beamforming to generate concentric annular beams for covering cell-center, cell-mediate and cell-edge groups of users, and digital space-frequency vector perturbation (SFVP) precoding and orthogonal frequency division multiple access (OFDMA) to mitigate inter-and intra-group interferences. Mathematical analysis and numerical simulations validate that the IoT BS with the proposed CSDM-SFVP scheme has better bit error rate (BER) and EE performance than traditional massive multiple-input multiple-output (MIMO) BS with full-baseband zero-forcing (FBZF) precoding in a IoT cell. INDEX TERMS Internet of things (IoT), orbital angular momentum (OAM), uniform circular array (UCA), massive machine-type communications (mMTC), concentric spatial division multiplexing (CSDM).

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Section: And Mmtcmentioning

confidence: 99%

“…Proposition 1: For the block diagonal matrixH eff given in (17), the perturbation vector l ZF optimized according to (20) could be decomposed into U low dimensional optimization problems:…”

Section: E Low Complexity Baseband Sfvp Precodermentioning

confidence: 99%

Section: Performance Analysis a Diversity Performancementioning

confidence: 99%

“…Proof: For the M × M dual channel matrixH H eff infered from the equivalent broadcast channel given in (17)…”

Section: Performance Analysis a Diversity Performancementioning

confidence: 99%

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OAM-Based Concentric Spatial Division Multiplexing for Cellular IoT Terminals

et al. 2020

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“…In multi-cell networks, cell-edge users have worse channel conditions and suffer stronger interference from adjacent cells, compared with cell-centre users. The low bitrate of cell-edge users is an issue in performance engineering [1][2][3]. A conventional approach to address the issue is allocating more resource to cell-edge users.…”

Section: Introductionmentioning

confidence: 99%

Delivering more to cell edge via joint multi‐cell non‐orthogonal multiple access and traffic offloading

Zhao

Yuan

You³

2021

IET Networks

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We consider leveraging the joint potential of non-orthogonal multiple access (NOMA) and traffic offloading to benefit cell-edge users in multi-cell scenarios. We formulate the edge-driven throughput maximisation problem where both the offloading decision and resource allocation are to be optimised, accounting for the impact of the inter-cell interference on the decoding order in NOMA. The inter-cell interference is not given constants as it is influenced by resource allocation. Therefore the non-orthogonal multiple access (NOMA) decoding order is not known a priori. We explore the problem by decomposing it into two subproblems. By analysis of structural properties, we derive algorithm modules which interact iteratively for reciprocity, forming the overall algorithm. Numerical results show that the proposed scheme considerably improves the celledge throughput, compared with the conventional scheme of orthogonal multiple access without traffic offloading.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Improved resource allocation scheme for optimizing the performance of cell-edge users in LTE-A system

Gatti

Shankar

2020

J Ambient Intell Human Comput

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A Quasi-Perfect Resource Allocation Scheme for Optimizing the Performance of Cell-Edge Users in FFR-Aided LTE-A Multicell Networks

Cited by 8 publications

References 10 publications

OAM-Based Concentric Spatial Division Multiplexing for Cellular IoT Terminals

OAM-Based Concentric Spatial Division Multiplexing for Cellular IoT Terminals

Delivering more to cell edge via joint multi‐cell non‐orthogonal multiple access and traffic offloading

Improved resource allocation scheme for optimizing the performance of cell-edge users in LTE-A system

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