scholarly journals Neural Network Based AMP Method for Multi-User Detection in Massive Machine-Type Communication

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1286
Author(s):  
Mengjiang Sun ◽  
Peng Chen
Keyword(s):  
Message Passing ◽  
False Alarm Probability ◽  
Base Station ◽  
Active Devices ◽  
Approximate Message Passing ◽  
Machine Type ◽  
Multiple Measurement Vector ◽  
Machine Type Communications ◽  
Machine Type Communication ◽  
Measurement Vector

In massive machine-type communications (mMTC) scenarios, grant-free non-orthogonal multiple access becomes crucial due to the small transmission latency, limited signaling overhead and the ability to support massive connectivity. In a multi-user detection (MUD) problem, the base station (BS) is unaware of the active users and needs to detect active devices. With sporadic devices transmitting signals at any moment, the MUD problem can be formulated as a multiple measurement vector (MMV) sparse recovery problem. Through the Khatri–Rao product, we prove that the MMV problem is transformed into a single measurement vector (SMV) problem. Based on the basis pursuit de-noising approximate message passing (BPDN-AMP) algorithm, a novel learning AMP network (LAMPnet) algorithm is proposed, which is designed to reduce the false alarm probability when the required detection probability is high. Simulation results show that when the required detection probablity is high, the AMP algorithm based on LAMPnet noticeably outperforms the traditional algorithms with acceptable computational complexity.

scholarly journals Distributed Algorithm for Base Station Assignment in 4G/5G Machine-Type Communication Scenarios with Backhaul Limited Conditions

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6553
Author(s):  
Edgar A. Esquivel-Mendiola ◽  
Hiram Galeana-Zapién ◽  
David H. Covarrubias ◽  
Edwin Aldana-Bobadilla
Keyword(s):  
Assignment Problem ◽  
Path Loss ◽  
Base Station ◽  
System Throughput ◽  
Dual Decomposition ◽  
Minimum Path ◽  
Machine Type ◽  
Assignment Algorithm ◽  
Communication Devices ◽  
Machine Type Communication

A progressive paradigm shift from centralized to distributed network architectures has been consolidated since the 4G communication standard, calling for novel decision-making mechanisms with distributed control to operate at the network edge. This situation implies that each base station (BS) must manage resources independently to meet the quality of service (QoS) of existing human-type communication devices (HTC), as well as the emerging machine type communication (MTC) devices from the internet of things (IoT). In this paper, we address the BS assignment problem, whose aim is to determine the most appropriate serving BS to each mobile device. This problem is formulated as an optimization problem for maximizing the system throughput and imposing constraints on the air interface and backhaul resources. The assignment problem is challenging to solve, so we present a simple yet valid reformulation of the original problem while using dual decomposition theory. Subsequently, we propose a distributed price-based BS assignment algorithm that performs at each BS the assignment process, where a novel pricing update scheme is presented. The simulation results show that our proposed solution outperforms traditional maximum signal to interference plus noise ratio (Max-SINR) and minimum path-loss (Min-PL) approaches in terms of system throughput.

scholarly journals User Association and Power Control for Energy Efficiency Maximization in M2M-Enabled Uplink Heterogeneous Networks with NOMA

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5307 ◽  
Author(s):  
Shuang Zhang ◽  
Guixia Kang
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Heterogeneous Networks ◽  
Base Station ◽  
Sequential Optimization ◽  
User Association ◽  
Decode And Forward ◽  
Vast Number ◽  
Machine Type ◽  
Machine Type Communication

To support a vast number of devices with less energy consumption, we propose a new user association and power control scheme for machine to machine enabled heterogeneous networks with non-orthogonal multiple access (NOMA), where a mobile user (MU) acting as a machine-type communication gateway can decode and forward both the information of machine-type communication devices and its own data to the base station (BS) directly. MU association and power control are jointly considered in the formulated as optimization problem for energy efficiency (EE) maximization under the constraints of minimum data rate requirements of MUs. A many-to-one MU association matching algorithm is firstly proposed based on the theory of matching game. By taking swap matching operations among MUs, BSs, and sub-channels, the original problem can be solved by dealing with the EE maximization for each sub-channel. Then, two power control algorithms are proposed, where the tools of sequential optimization, fractional programming, and exhaustive search have been employed. Simulation results are provided to demonstrate the optimality properties of our algorithms under different parameter settings.

scholarly journals Performance Analysis of Wireless Information Surveillance in Machine-Type Communication at Finite Blocklength Regime

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3031
Author(s):  
Dong ◽  
Li ◽  
Yan
Keyword(s):  
Channel Coding ◽  
High Signal ◽  
Machine Type ◽  
Pervasive Sensing ◽  
Security Challenges ◽  
Machine Type Communications ◽  
Communication Devices ◽  
Machine Type Communication ◽  
And Control ◽  
The Internet Of Things

The Internet of Things (IoT) will feature pervasive sensing and control capabilities via the massive deployment of machine-type communication devices in order to greatly improve daily life. However, machine-type communications can be illegally used (e.g., by criminals or terrorists) which is difficult to monitor, and thus presents new security challenges. The information exchanged in machine-type communications is usually transmitted in short packets. Thus, this paper investigates a legitimate surveillance system via proactive eavesdropping at finite blocklength regime. Under the finite blocklength regime, we analyze the channel coding rate of the eavesdropping link and the suspicious link. We find that the legitimate monitor can still eavesdrop the information sent by the suspicious transmitter as the blocklength decreases, even when the eavesdropping is failed under the Shannon capacity regime. Moreover, we define a metric called the effective eavesdropping rate and study the monotonicity. From the analysis of monotonicity, the existence of a maximum effective eavesdropping rate for a moderate or even high signal-to-noise (SNR) is verified. Finally, numerical results are provided and discussed. In the simulation, we also find that the maximum effective eavesdropping rate slowly increases with the blocklength.

UL-DMRS Based NB-IoT Uplink System and its Performance Analysis Toward 5G Machine Type Communications

2021 ◽  
Vol 9 (1) ◽  
pp. 6-14
Keyword(s):  
Performance Analysis ◽  
Internet Of Things ◽  
Low Power ◽  
Maintenance Cost ◽  
Security Threats ◽  
Interference Rejection ◽  
Machine Type ◽  
Core Technology ◽  
Machine Type Communications ◽  
Machine Type Communication

As we know, world is moving into the era of modern digital technology and looking forward tomassive machine type communications (mMTC), whichis an integral part of Internet of Things (IoT). The current technologysupporting mMTC market are not standardized; therefore, there are many short comings from physical layer which includes complexity in deployment, poor reliability, lesser flexibility, security threats and high maintenance cost. To address all these challenges in 5G machine type communication (MTC), the 3rdGeneration Partnership Project (3GPP) in release 13has standardizedNarrowband Internet of Things (NB-IoT) as a better choice in deployment of 5G MTC. NB-IoT has been recommended by ITU as a 5G standard and this recognition of NB-IoT as a core technology in massive machine type communication will impact the telecommunication industry. NB-IoT mainly works on low power wide area networks (LPWAN), which isconsidered as a major technology driver in 5G wireless technologies. Initially,we have compared a spectrum power of NB-IoT with W-Fi ac considering their own bandwidthand specificationsas per 3GPP and IEEE 802.11,respectively.As per analysis, we found many advantages of deploying NB-IoT in 5thgeneration wireless technology including ubiquitous coverage, low power consumption, less transmission power and better interference rejection. Considering thisfact of NB-IoT, we proposedand design a NB-IoT uplink systemusing NPUSCH, UL-SCH and UL-DMRS as per 3GPP 5G specificationsand performance analysis has been carried out

scholarly journals Joint time and power allocation for uplink cooperative non-orthogonal multiple access based massive machine-type communication Network

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877821 ◽  
Author(s):  
Shujun Han ◽  
Xiaodong Xu ◽  
Litong Zhao ◽  
Xiaofeng Tao
Keyword(s):  
Communication Network ◽  
Power Allocation ◽  
Multiple Access ◽  
Base Station ◽  
Cooperative Transmission ◽  
Allocation Algorithm ◽  
Machine Type ◽  
Communication Devices ◽  
Machine Type Communication ◽  
Transmission Phase

Non-orthogonal multiple access is an essential promising solution to support large-scale connectivity required by massive machine-type communication scenario defined in the fifth generation (5G) mobile communication system. In this article, we study the problem of energy minimization in non-orthogonal multiple access–based massive machine-type communication network. Focusing on the massive machine-type communication scenario and assisted by grouping method, we propose an uplink cooperative non-orthogonal multiple access scheme with two phases, transmission phase and cooperation phase, for one uplink cooperative transmission period. Based on uplink cooperative non-orthogonal multiple access, the machine-type communication device with better channel condition and more residual energy will be selected as a group head, which acts as a relay assisting other machine-type communication devices to communicate. In the transmission phase, machine-type communication devices transmit data to the group head. Then, the group head transmits the received data with its own data to base station in the cooperation phase. Because the massive machine-type communication devices are low-cost dominant with limited battery, based on uplink cooperative non-orthogonal multiple access, we propose a joint time and power allocation algorithm to minimize the system energy consumption. Furthermore, the proposed joint time and power allocation algorithm includes dynamic group head selection and fractional transmit time allocation algorithms. Simulation results show that the proposed solution for uplink cooperative non-orthogonal multiple access–based massive machine-type communication network outperforms other schemes.

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