Spectrum and Energy Efficiency Optimization for Hybrid Precoding-Based SWIPT-Enabled mmWave mMIMO-NOMA Systems

Uwaechia, Anthony Ngozichukwuka; Mahyuddin, Nor Muzlifah

doi:10.1109/access.2020.3013305

Cited by 23 publications

(18 citation statements)

References 42 publications

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“…With no loss of generality, let us assume that 𝑀 = 𝑁 𝑁 𝑅𝐹 is an integer, and each RF chain is linked with 𝑀 antennas in the sub-hybrid precoding architecture. 𝒂 ̅ 𝒏 (𝒔𝒖𝒃) ∈ ℂ 𝑀×1 ∀ 𝑛 = 1, 2, … , 𝑁 𝑅𝐹 is the steering vector with the same amplitude of 𝟏 √𝑀 [7], [8].…”

Section: System Modelmentioning

confidence: 99%

“…Let us consider the mmWave MIMO channel model [6]- [8], where the 𝑁 × 1 channel vector 𝒉 𝑔,𝑚 of the 𝑚th user in the 𝒈th beam is given by…”

Section: System Modelmentioning

confidence: 99%

“…Overall, mmWave with higher frequencies is better suited for antenna arrays with a massive MIMO system due to small physical size of huge antenna array. In addition, a large antenna array can use precoding to avoid free space path loss of mmWave signals, thereby achieving significant array gain for connections with quality Signal-to-noise ratio (SNR) [8].…”

Section: Introductionmentioning

confidence: 99%

“…4. In contrast to [8], [10], we propose decoupling the joint power allocation and transmit power. Before attempting to optimize the PS ratio assignment with fixed power allocation, we address the subproblem of optimizing the PS ratio assignment with varying power allocation.…”

Section: Introductionmentioning

confidence: 99%

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Decoupling Energy Efficient Approach for Hybrid Precoding-Based mmWave Massive MIMO-NOMA With SWIPT

2022

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In this paper, we address the problem of energy consumption associated with mixed signal components such as analog-to-digital components in millimeter-wave (mmWave) massive MIMO systems. We employ non-orthogonal multiple access (NOMA) in millimeter-wave (mmWave) massive MIMO systems to further enhance the spectrum efficiency. The simultaneous wireless information and power transmission technology (SWIPT) will be used in mmWave massive Multiple-Input multiple-Output MIMO systems. The utilization of SWIPT contributes to prolonging the battery life of mobile users (MUs) and enhances the system energy efficiency (EE), especially in the NOMA scenario where the inter-user interference can be reused for energy harvesting (EH). However, we initially designed a user grouping algorithm based on the affinity propagation clustering algorithm, which preferentially groups the user equipment (UE) based on their channel correlation and distance. Then, we design the analog RF precoder based on the selected user grouping for all beams, followed by a low-dimensional digital baseband precoder design to further mitigate inter-beam interference and maximize the achievable sum-rate for the considered system. Subsequently, we transform the original optimization problem into a joint power allocation and power-splitting maximization problem. The considered non-convex optimization problem is arduous to tackle, resulting from the presence of coupled variables and inter-user interference. To cope with this problem, a decoupled approach is adopted, in which the power allocation and power splitting are separated, and the corresponding sub-problems are solved using the Lagrangian duality method. Simulation results confirm the effectiveness of the proposed method and demonstrate that the proposed method is near-optimal and enjoys higher spectrum and energy efficiency compared with state-of-the-art designs and the conventional SWIPT-enabled mmWave MIMO-NOMA system.

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Section: System Modelmentioning

confidence: 99%

“…Let us consider the mmWave MIMO channel model [6]- [8], where the 𝑁 × 1 channel vector 𝒉 𝑔,𝑚 of the 𝑚th user in the 𝒈th beam is given by…”

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Decoupling Energy Efficient Approach for Hybrid Precoding-Based mmWave Massive MIMO-NOMA With SWIPT

2022

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“…, where the equivalent channel vector is expressed asH CU E(Γ,k) = H CU E(Γ,k) A. Without loss of generality, fully-digital ZF beamforming is adopted to eliminate the inter-beam interference as a low-dimensional baseband digital precoder based on the strongest equivalent channel [51]. However, the digital precoding matrix of size N RF × Q is generated bȳ…”

Section: B Digital Precodingmentioning

confidence: 99%

User Clustering and Optimized Power Allocation for D2D Communications at mmWave Underlaying MIMO-NOMA Cellular Networks

2021

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Fifth-generation (5G) cellular networks are being developed to meet the ever-growing data traffic across mobile devices and their applications. The core of 5G cellular networks is leveraging wider and higher frequencies available at millimeter wave frequency (mmWave) bands, thus providing very high data rates for mobile devices. Multi-input multi-output (MIMO) is an essential technology for overcoming the high propagation loss at mmWave communications. In non-orthogonal multiple access (NOMA), multiple cellular user equipments (CUEs) communicate over the same time-frequency resources using a multiplexed power domain. In device-to-device (D2D) communications, two D2D user equipments (DUEs) communicate without passing through the base station. In the underlaying scenario, DUEs reuse the frequency resources allocated to CUEs for spectrum utilization but DUEs cause interferences for cellular and D2D communications. Integrating D2D communications with other 5G technologies has great potential for spectral efficiency improvement. Unfortunately, interference management and resource allocation are becoming increasingly challenging due to aggressive frequency reuse. In this paper, D2D communications at mmWave underlaying MIMO-NOMA cellular network system model is developed. Consequently, a novel resource allocation for D2D communications underlaying MIMO-NOMA cellular network is proposed. A resource allocation optimization problem is formulated for spectral efficiency maximization. To solve this NP-hard problem, the problem is decomposed into three subproblems: interference-aware graph-based user clustering, MIMO-NOMA beamforming design, and optimized power allocation based on particle swarm optimization. Simulation results demonstrate that the proposed algorithm for D2D communications at mmWave underlaying MIMO-NOMA cellular network delivers a greater spectral efficiency compared to the conventional D2D communications that operate underlay MIMO-orthogonal multiple access cellular networks.

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Joint resource allocation and power allocation scheme forMIMOassistedNOMAsystem

Rameshchandra

Borugadda

2023

Trans Emerging Tel Tech

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Multiple input multiple output (MIMO) plays an integral role in improving energy efficiency for enhancing all users' quality of service (QoS). For 5G wireless communication (WC), the NOMA strategy is used with the MIMO system to improve the system's sum rate and computational complexity. In this, terahertz (THz) band communication is introduced for future demand to carry more users and obtains high multiplexing gain. Multiple antenna arrays are used in the MIMO‐NOMA system to achieve high signal transmission. However, the use of antenna arrays increases as the number of users increases. A beam‐forming‐based signal transmission is introduced in this work to overcome this issue. For performing digital and Analog beam‐forming, a hybrid minimum mean square error (MMSE) with zero‐forcing (ZF) pre‐coder is proposed to eliminate the inter‐cluster interference. Initially, user clustering is undertaken using a fuzzy k‐means clustering (FKM) algorithm, and beam‐forming is performed among the user clustering. The joint power allocation (PA) and resource allocation (RA) is done using a hybrid artificial gorilla troop with leader optimization (HGTLO) technique to achieve a maximum sum rate of the RF channel. The performance of a proposed method is analyzed using the MATLAB tool. In the experimental scenario, the performance of energy efficiency (EE), spectral efficiency (SE), achievable sum rate, throughput, bit error rate (BER), and mean square error (MSE) attains the value of 35.82 bits/Hz/Joules, 198.11 bps/Hz, 116.78 Mbps, 93.06%, .003 and .011 respectively. The performance measures prove the efficacy of a proposed method.

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Spectrum and Energy Efficiency Optimization for Hybrid Precoding-Based SWIPT-Enabled mmWave mMIMO-NOMA Systems

Cited by 23 publications

References 42 publications

Decoupling Energy Efficient Approach for Hybrid Precoding-Based mmWave Massive MIMO-NOMA With SWIPT

Decoupling Energy Efficient Approach for Hybrid Precoding-Based mmWave Massive MIMO-NOMA With SWIPT

User Clustering and Optimized Power Allocation for D2D Communications at mmWave Underlaying MIMO-NOMA Cellular Networks

Joint resource allocation and power allocation scheme forMIMOassistedNOMAsystem

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