On secure system performance over SISO, MISO and MIMO-NOMA wireless networks equipped a multiple antenna based on TAS protocol

Fazio

et al. 2021

IEEE Access

Self Cite

We present the design for an ultra-low latency and low energy Internet of Things (IoT) network inspired by the emerging cooperative Non-Orthogonal Multiple Access (NOMA) wireless communication technique. The IoT network model consists of a source at the center of the network, a near device inside the network, and a far device outside the network. The far device is in the near proximity of the near device, however. We deploy the near device as a relay to assist the far device. The near device is assumed to be a low energy node. As a result, the near device cannot forward signals to the far device through its own power. We therefore design the IoT network to apply the Simultaneous Wireless Information and Power Transfer (SWIPT) technique so that the near device would be able to harvest energy and use it to forward signals. Two cooperative IoT network scenarios are examined: Half-Duplex (HD) and Full-Duplex (FD) relaying, each with and without eavesdroppers. The design also exploits Power Splitting (PS) factors for fairness in Quality of Service (QoS) for the devices. Novel analysis expressions are obtained accuracy and approximation of closed-forms for Outage Probability (OP), secrecy OP, system throughput and Jain's fairness index. The analysis results are proved and verified by Monte Carlo simulation results.

Section: A Background and Related Workmentioning

confidence: 99%

SWIPT Model Adopting a PS Framework to Aid IoT Networks Inspired by the Emerging Cooperative NOMA Technique

Fazio

et al. 2021

IEEE Access

Self Cite

“…

and

are the number of antennas at the BS and coupled relays, respectively. Tran et al [ 23 ] designed a pre-coding channel matrix size of [number of transmitting antennas × number of receiving antennas]. We therefore designed the pre-coding channel matrices from the

transmitting antennas at the BS to the

receiving antennas on the coupled relays

and

, respectively, as follows:

where

and

for

and

are channels from a transmitting antenna

at the BS to a receiving antenna

at the coupled relays

and

.…”

Section: System Modelmentioning

confidence: 99%

“…However, the present study examines a massive MIMO underlay cooperative NOMA network in contrast to the schemes presented in [ 29 , 31 ], where the author studied cooperative Single-Input-Single-Output (SISO)-NOMA schemes. Fortunately, the authors of [ 23 , 24 ] also investigated a MIMO-NOMA network with TAS and obtained Signal-to-Interference-plus-Noise Ratios (SINRs), where the devices detected information by applying SIC. To optimize system performance, our study considers the massive MIMO technique in combination with a TAS protocol, where relay

selects the best received signal

for SIC.…”

Section: System Modelmentioning

confidence: 99%

“…However, under this technique, networked devices equip more antennas, leading to increased costs for hardware and RF. The authors proposed the deployment of a TAS protocol which selects the best channel [ 23 , 24 ]. The authors also designed the pre-coding matrices for optimal system throughput in a multi-cell MIMO-NOMA network.…”

Section: Introductionmentioning

confidence: 99%

“…From [ 23 ] (Equation (71)), we obtain the CDF expression as follows:

where Expression ( A5 ) is with

and

. If

, Expression ( A5 ) refers to one.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Switchable Coupled Relays Aid Massive Non-Orthogonal Multiple Access Networks with Transmit Antenna Selection and Energy Harvesting

Vozňák

2021

Sensors

Self Cite

The article proposes a new switchable coupled relay model for massive MIMO-NOMA networks. The model equips a much greater number of antennas on the coupled relays to dramatically improve capacity and Energy Efficiency (EE). Each relay in a coupled relay is selected and delivered into a single transmission block to serve multiple devices. This paper also plots a new diagram of two transmission blocks which illustrates energy harvesting and signal processing. To optimize the system performance of a massive MIMO-NOMA network, i.e., Outage Probability (OP) and system throughput, this paper deploys a Transmit Antenna Selection (TAS) protocol to select the best received signals from the pre-coding channel matrices. In addition, to achieve better EE, Simultaneously Wireless Information Power Transmit (SWIPT) is implemented. Specifically, this paper derives the novel theoretical analysis in closed-form expressions, i.e., OP, system throughput and EE from a massive MIMO-NOMA network aided by switchable coupled relays. The theoretical results obtained from the closed-form expressions show that a massive MIMO-NOMA network achieves better OP and greater capacity and expends less energy than the MIMO technique. Finally, independent Monte Carlo simulations verified the theoretical results.

Adaptive multiple access assists multiple users over multiple‐input‐multiple‐output non‐orthogonal multiple access wireless networks

Vozňák

2021

Int J Communication

Self Cite

The works in this study examine three scenarios. The scenario (I) as a common scenario with the base station (BS) and users are equipped with multiple antennae over Nakagami-m fading channels. To improve system performance, the transmit antenna selection (TAS) and maximization of successive interference cancellation (max-SIC) framework are deployed. A novel cumulative distribute function (CDF) for the scenario (I) is proposed, and the outage probability (OP) in novel closed form can be obtained. It is challenging due to scenario (I) consists of massive users equipped with multiple antennae over Nakagami-m fading channels. Therefore, this study proposes scenario (II) with a maximum of SIC and minimum of instantaneous bit rate (max-SIC-min-rate) framework for aiding multiple access to reduce the algorithm complexity of the scenario (I). Some adaptive multiple access strategies are proposed as adaptive PA factors, adaptive min-max bit rate threshold, and adaptive Nakagami-m coefficient are proposed. Finally, the scenario (III) is examined by also applying the max-SIC-min-rate framework as the scenario (II), however, comparing to the adaptive min-max bit rate threshold to investigate the OP, system throughput, and energy-efficient (EE) performances. The obtained results as shown in the numerical results section confirm that, on one hand, the system performance of the scenario (II) is approximate or better than the scenario (I) at the same transmit power; on another hand, the scenario (III) reaches the system throughput and EE performances better than the other scenarios at the high transmit power. The analysis results are proved and verified by Monte Carlo simulation results.