scholarly journals Energy Efficient Resource Allocation for M2M Devices in LTE/LTE-A

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5337 ◽  
Author(s):  
Hajer Ben Rekhissa ◽  
Cecile Belleudy ◽  
Philippe Bessaguet
Keyword(s):  
Energy Consumption ◽  
Long Term Evolution ◽  
M2m Communication ◽  
Maximum Expansion ◽  
High Data ◽  
Channel Quality ◽  
M2m Communications ◽  
Term Evolution ◽  
Energy Efficient Resource Allocation

Machine-to-machine (M2M) communication consists of the communication between intelligent devices without human intervention. Long term evolution (LTE) and Long-term evolution-advanced (LTE-A) cellular networks technologies are excellent candidates to support M2M communication as they offer high data rates, low latencies, high capacities and more flexibility. However, M2M communication over LTE/LTE-A networks faces some challenges. One of these challenges is the management of resource radios especially on the uplink. LTE schedulers should be able to meet the needs of M2M devices, such as power management and the support of large number of devices, in addition to handling both human-to-human (H2H) and M2M communications. Motivated by the fundamental requirement of extending the battery lives of M2M devices and managing an LTE network system, including both M2M devices and H2H users, in this paper, two channel-aware scheduling algorithms on the uplink are proposed. Both of them consider the coexistence of H2H and M2M communications and aim to reduce energy consumption in M2M devices. The first algorithm, called FDPS-carrier-by-carrier modified (CBC-M), takes into account channel quality and power consumption while allocating radio resources. Our second algorithm, recursive maximum expansion modified (RME-M), offers a balance between delay requirement and energy consumption. Depending on the system requirements, RME-M considers both channel quality and system deadlines in an adjustable manner according to M2M devices needs. Simulation results show that the proposed schedulers outperform the round-robin scheduler in terms of energy efficiency and have better cell spectral efficiency.

Long-Term Evolution (LTE)

Data Mining ◽  
2013 ◽  
pp. 336-365
Author(s):  
Bing He ◽  
Bin Xie ◽  
Sanjuli Agrawal ◽  
David Zhao ◽  
Ranga Reddy
Keyword(s):  
Cellular Networks ◽  
Orthogonal Frequency Division Multiplexing ◽  
New Technologies ◽  
Network Capacity ◽  
Long Term Evolution ◽  
High Data ◽  
Term Evolution ◽  
Input Multiple Output ◽  
Speed Up

With the ever growing demand on high throughput for mobile users, 3G cellular networks are limited in their network capacity for offering high data services to a large number of users. Consequently, many Internet services such as on-demand video and mobile TV are hard to be satisfactorily supported by the current 3G cellular networks. 3GPP Long Term Evolution (LTE) is a recently proposed 4G standard, representing a significant advance of 3G cellular technology. Attractively, LTE would offer an uplink data speed up to 50 Mbps and a downlink speed up to 100 Mbps for various services such as traditional voice, high-speed data, multimedia unicast, and multimedia broadcasting. In such a short time, it has been broadly accepted by major wireless vendors such as Verizon-Vodafone, AT&T, NTT-Docomo, KDDI, T-Mobile, and China Mobile. In order for high data link speed, LTE adapts new technologies that are new to 3G network such as Orthogonal Frequency Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO). MIMO allows the use of more than one antenna at the transmitter and receiver for higher data transmission. The LTE bandwidth can be scalable from 1.25 to 20 MHz, satisfying the need of different network operators that may have different bandwidth allocations for services, based on its managed spectrum. In this chapter, we discuss the major advance of the LTE and its recent research efforts in improving its performance. Our illustration of LTE is comprehensive, spanning from the LTE physical layer to link layer. In addition, the LTE security is also discussed.

Channel Quality Indication Reporting Schemes for UTRAN Long Term Evolution Downlink

2008 ◽  
Author(s):  
Niko Kolehmainen ◽  
Jani Puttonen ◽  
Petteri Kela ◽  
Tapani Ristaniemi ◽  
Tero Henttonen ◽  
...  
Keyword(s):  
Long Term Evolution ◽  
Channel Quality ◽  
Term Evolution

PERFORMANCE ANALYSIS OF THE ENERGY CONSUMPTION OF THE SCHEDULING ALGORITHMS IN LONG TERM EVOLUTION LTE (LONG TERM EVOLUTION) NETWORKS

2016 ◽  
Vol 78 (10-4) ◽  
Author(s):  
Nurulanis Mohd Yusoff ◽  
Darmawaty Mohd Ali ◽  
Ku Siti Syahidah Ku Mohd Noh
Keyword(s):  
Global Warming ◽  
Energy Consumption ◽  
Communication Systems ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
Proportional Fair ◽  
Downlink Transmission ◽  
Term Evolution ◽  
The Impact

Energy efficiency has become an important feature in communication systems due to the problem of global warming and lack of energy resources. The impact on global warming caused by wireless communication industries has been gradually increasing, so it is obvious that developing the green communication is significant. In particular, energy consumption in the base stations and downlink transmission are the major areas where significant conservation can be achieved. Thus, the objective of this study is to investigate the performance of the packet scheduling algorithms in the downlink transmission and the energy consumption for video and Voice over IP (VoIP) applications in Long Term Evolution (LTE) systems. In this work, four different scheduling algorithms were analysed namely the Channel and Quality of Service Aware Proportional Fair (CQA_PF), CQA Frequency Fading (CQA_Ff), Priority Set Scheduler Proportional Fair (PSS_PF), and PSS Carrier Over Interference to Average (PSS_CoItA) based on the performance metrics of throughput, delay, energy consumption ratio (ECR) and fairness. The results showed that the CQA algorithm for both methods (CQA_PF and CQA_Ff) outperformed the other algorithms since it has the highest throughput with an increase of up to 25%. Meanwhile, for delay and ECR, the CQA scheduler was the lowest of up to 20% as compared to the PSS scheduler. Thus, it can be concluded that CQA is the most energy efficient algorithm to schedule the video and VoIP applications.

scholarly journals Modelling and Development of a Radio Resource Control and Scheduling Algorithm for Long-Term Evolution (LTE) Uplink

2021 ◽  
Vol 8 (2) ◽  
pp. 23-34
Author(s):  
Olawale Oluwasegun Ogunrinola ◽  
Isaiah Opeyemi Olaniyi ◽  
Segun A. Afolabi ◽  
Gbemiga Abraham Olaniyi ◽  
Olushola Emmanuel Ajeigbe
Keyword(s):  
Optimization Problems ◽  
Long Term Evolution ◽  
Base Station ◽  
Proportional Fairness ◽  
Radio Resource ◽  
Radio System ◽  
Maximum Expansion ◽  
Term Evolution ◽  
Lte Uplink

Modern radio communication services transmit signals from an earth station to a high-altitude station, space station or a space radio system via a feeder link while in Global Systems for Mobile Communication (GSM) and computer networks, the radio uplink transmit from cell phones to base station linking the network core to the communication interphase via an upstream facility. Hitherto, the Single-Carrier Frequency Division Multiple Access (SC-FDMA) has been adopted for uplink access in the Long-Term Evolution (LTE) scheme by the 3GPP. In this journal, the LTE uplink radio resource allocation is addressed as an optimization problem, where the desired solution is the mapping of the schedulable UE to schedulable Resource Blocks (RBs) that maximizes the proportional fairness metric. The particle swarm optimization (PSO) has been employed for this research. PSO is an algorithm that is very easy to implement to solve real time optimization problems and has fewer parameters to adjust when compared to other evolutionary algorithms. The proposed scheme was found to outperform the First Maximum Expansion (FME) and Recursive Maximum Expansion (RME) in terms of simulation time and fairness while maintaining the throughput.

Long-Term Evolution (LTE)

2011 ◽  
pp. 332-362
Author(s):  
Bing He ◽  
Bin Xie ◽  
Sanjuli Agrawal ◽  
David Zhao ◽  
Ranga Reddy
Keyword(s):  
Cellular Networks ◽  
Orthogonal Frequency Division Multiplexing ◽  
New Technologies ◽  
Network Capacity ◽  
Long Term Evolution ◽  
High Data ◽  
Term Evolution ◽  
Input Multiple Output ◽  
Speed Up

With the ever growing demand on high throughput for mobile users, 3G cellular networks are limited in their network capacity for offering high data services to a large number of users. Consequently, many Internet services such as on-demand video and mobile TV are hard to be satisfactorily supported by the current 3G cellular networks. 3GPP Long Term Evolution (LTE) is a recently proposed 4G standard, representing a significant advance of 3G cellular technology. Attractively, LTE would offer an uplink data speed up to 50 Mbps and a downlink speed up to 100 Mbps for various services such as traditional voice, high-speed data, multimedia unicast, and multimedia broadcasting. In such a short time, it has been broadly accepted by major wireless vendors such as Verizon-Vodafone, AT&T, NTT-Docomo, KDDI, T-Mobile, and China Mobile. In order for high data link speed, LTE adapts new technologies that are new to 3G network such as Orthogonal Frequency Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO). MIMO allows the use of more than one antenna at the transmitter and receiver for higher data transmission. The LTE bandwidth can be scalable from 1.25 to 20 MHz, satisfying the need of different network operators that may have different bandwidth allocations for services, based on its managed spectrum. In this chapter, we discuss the major advance of the LTE and its recent research efforts in improving its performance. Our illustration of LTE is comprehensive, spanning from the LTE physical layer to link layer. In addition, the LTE security is also discussed.

scholarly journals An Adaptive Threshold Feedback Compression Scheme Based on Channel Quality Indicator (CQI) in Long Term Evolution (LTE) System

2015 ◽  
Vol 82 (4) ◽  
pp. 2323-2349 ◽  
Author(s):  
Muntadher Qasim Abdulhasan ◽  
Mustafa Ismael Salman ◽  
Chee Kyun Ng ◽  
Nor Kamariah Noordin ◽  
Shaiful Jahari Hashim ◽  
...  
Keyword(s):  
Quality Indicator ◽  
Long Term Evolution ◽  
Adaptive Threshold ◽  
Channel Quality Indicator ◽  
Compression Scheme ◽  
Channel Quality ◽  
Term Evolution
Sign in / Sign up

Export Citation Format

Share Document