Energy Harvesting Maximizing for Millimeter-Wave Massive MIMO-NOMA

Li, Shufeng; Wan, Zelin; Jin, Libiao; Du, Jianhe

doi:10.3390/electronics9010032

Cited by 8 publications

(3 citation statements)

References 28 publications

(22 reference statements)

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“…Hence the NOMA is hybridized with multiple input and multiple outputs (MIMO) systems to improve its performance, and also it is proven as a successful technology in wireless communication. This hybridization improves the reuse efficiency, 4 throughput 5 and power efficiency 6,7 . But the problem handles both power and space domains such as resource management, user clustering and interaction of mobile users in the channel, 8,9 that is, user clustering, beam‐forming and power optimization; these problems are derived as a mixed integer linear programming problem.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

Joint resource allocation and power allocation scheme forMIMOassistedNOMAsystem

Rameshchandra

Borugadda

2023

Trans Emerging Tel Tech

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“…One power domain solution is the joint design of an energy interleaver and constellation rotationbased modulator in the symbol block level to constructively superimpose the symbols destined for WIT users thereby guaranteeing the symbol-error-rate (SER) of all users [9]. Energy maximization at minimum rate requirement with two user grouping strategies and a novel power allocation scheme of [10] showed very high spectral efficiency from a large number of BS antenna to radio frequency (RF) chain ratio (256:8) at the expense of placing a lower bound on the signalto-noise ratio (SNR≥5 dB) to which SWIDEH can be realized compared to a better value in [11]. In [12] the joint impact of hardware impaired (HI) and imperfect channel state information (ICSI) on cooperative SWIPT NOMA in mutirelay systems was studied.…”

Section: Introductionmentioning

confidence: 99%

Modified User Grouping and Hybrid Precoding for Information Decoding and Energy Harvesting in Hardware Impaired Point-To-Point MM-Wave Massive MIMO NOMA

Audu

Oyerinde

2023

IEEE Access

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The fifth generation (5G) and beyond 5G race covers both spectral-efficient and energy-efficient mechanisms such as simultaneous wireless information decoding and energy harvesting (SWIDEH). Structured as full or sub-connection of hybrid-precoded mm-wave massive multiple-input multiple-output non-orthogonal multiple access (NOMA) systems. However, the more practical hardwareimpaired (HI) functionality yet to be considered for point-to-point (p-to-p) MIMO is conceived from an existing system. A hardware impairment-based power splitting is proposed for energy harvesting. The energy of the HI signal is harnessed through the joint optimization of power allocation (PA) for information decoding (ID) and the power splitting (PS) factor for energy harvesting (EH) using zero-forcing (ZF) precoding and minimum mean square error (MMSE) downlink (DL) detection. Based on the simulation results, an adaptive cluster head selection (CHS) criterion is proposed for analog precoding to mitigate intracluster interferences at a high signal-to-noise ratio (SINR). A successive interference cancellation (SIC) is carried out to enable dynamic channel overhead estimation and user signal detection. An investigation is done by simulating the system performance at varied numbers of users, the number of radio-frequency (RF) chains, and channel characteristics for modelling the user group threshold coupled with channel size reduction via an antenna selection scheme. Observing the execution time and some graphical plots shows that the spectral and energy efficiency can be improved by a random (R) or maximum norm average (MNA) channel vector formation from each user's channel matrix combined with the best adaptive correlation threshold during CHS and a regularized ZF (RZF) precoder.INDEX TERMS adaptive correlation threshold, hardware-impaired (HI), hybrid-precoding, massive multiple-input multiple-output (mMIMO), mm-wave (mmWave), non-orthogonal multiple access (NOMA), point-to-point (p-to-p) MIMO, simultaneous wireless information decoding and energy harvesting (SWIDEH).

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“…FD with bidirectional wireless sensor network (BWSN) and Multiple Input Multiple Output (MIMO) based SWIPT system [17] is a considered approach for harvesting energy and transmitting power constraints with a joint optimization problem for source and relay beamforming. Optimization for MIMO-NOMA [18] with dynamic power allocation and user grouping provides an effective way for SWIPT. For the secure transmission in mind self jamming, SWIPT [19] may provide security along with energy harvesting.…”

Section: Introductionmentioning

confidence: 99%

Full Duplex Component-Forward Cooperative Communication for a Secure Wireless Communication System

Khan

Jayakody

2020

Electronics

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The technological breakthrough in the form of Internet of Things (IoT), Big data and connected world is increasing the demand of better spectrum utilization. Half-Duplex (HD) transmission is mostly used in the earlier communication systems. The high transmission demand requires the better utilization of the existing spectrum. There are several possible ways to overcome the problem of better spectrum usage. In-Band Full Duplex (IBFD) is one of the techniques that can double the Spectral Efficiency (SE) in a Beyond 5G (B5G) communication system. In this paper, our aim is to use the spectral efficient IBFD scheme to improve the security of the system with minimum interference. The interference can be reduced by the addition of orthogonality between the transmitted and received signal of a relay. A component-forward scheme is proposed in this paper to create such orthogonality. For achieving the desired aim, IBFD is used with Device-to-Device (D2D), Artificial Noise (AN), Modulation based orthogonalization, Radio Frequency Energy Harvesting (RFEH) and proposed Full-Duplex Component Forward (FD-CF) algorithm for multiple relays. We also use non-linear harvested power as one of the sources to reuse the exiting power for evaluating the system performance. The derivation of Secrecy Outage Probability (SOP) and throughput is derived in this paper for the FD-CF cooperative communication and is explored with and without non-linear RFEH. The simulation results show the comparison between the component-forward and decode-and-forward communication with one or more relays.

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Energy Harvesting Maximizing for Millimeter-Wave Massive MIMO-NOMA

Cited by 8 publications

References 28 publications

Joint resource allocation and power allocation scheme forMIMOassistedNOMAsystem

Joint resource allocation and power allocation scheme forMIMOassistedNOMAsystem

Modified User Grouping and Hybrid Precoding for Information Decoding and Energy Harvesting in Hardware Impaired Point-To-Point MM-Wave Massive MIMO NOMA

Full Duplex Component-Forward Cooperative Communication for a Secure Wireless Communication System

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