LTE Advanced

About: LTE Advanced is a research topic. Over the lifetime, 4055 publications have been published within this topic receiving 74262 citations. The topic is also known as: Long-Term Evolution Advanced & LTE-A.

Closed loop transmission with precoding selection in LTE/LTE-Advanced system

Abstract: Closed-loop transmission combined with MIMO (multiple-input multiple-output) and OFDM (orthogonal frequency division multiplexing) technologies have drawn most attentions during development of the 4G systems (fourth generation of mobile communication systems). In LTE (Long Term Evolution) and LTE-Advanced systems, which are proposed by 3GPP (Third Generation Partnership Project) to be the most competitive candidate for the 4G systems, the codebook based precoding scheme is deployed for realizing the closed-loop transmission concept. This scheme introduces the precoding matrix selection at the receiver and precoding operation at the transmitter and achieves a good tradeoff between the system complexity and the performance gain given by the closed-loop transmission. In this manuscript, the authors give a brief overview of the LTE/LTE-Advanced system downlink transmission. Furthermore, different precoding matrix selection criteria are discussed at the aim of optimal receiver design. Following the analytical and numerical results, the authors conclude that the minimum post mean squared error based criterion is the optimal candidate for precoding matrix selection at the receiver in LTE compliant systems.

LTE location technologies and delivery solutions

Abstract: With the rapid growth of mobile communication systems, user location is proving to be an important asset for end users, operators, application service providers, enterprises, public safety and law enforcement officials, and others. There are a vast number of applications and use cases that exploit location capabilities, each with a diverse set of needs and requirements in terms of accuracy, latency, and scalability. Long Term Evolution (LTE) technology offers multiple methods for determining and delivering location information. The method chosen must meet and be tailored to the needs of the application and use case for which it is being designed. In this paper, we will discuss location determination and delivery methods in LTE, realizable and simple network architectures necessary to support them, and offer a comparative analysis and recommendations. We will also address representative use cases, their requirements, and solutions.

A Survey of Random Access Control Techniques for Machine-to-Machine Communications in LTE/LTE-A Networks

Abstract: Machine-to-machine (M2M) communications refer to the autonomous interaction between connected devices without the human intervention. Recently, the Third-Generation Partnership Project (3GPP) introduced the Long-Term Evolution (LTE) and Long-Term Evolution-Advanced (LTE-A) as the improved version of the fourth-generation (4G) cellular networks. LTE/LTE-A networks have been considered an appropriate infrastructure for implementing M2M communications. However, the LTE/LTE-A networks were originally introduced for human-to-human (H2H) communications which have different characteristics from M2M communications. Thus, the LTE/LTE-A networks must be adapted to support the special characteristics of M2M communications. This work provides a comprehensive review of M2M communications over LTE networks, including M2M architectures, LTE structure, deployment challenges, and access control requirements. Moreover, this work introduces a novel classification for the current Random Access (RA) techniques that have been proposed for M2M communications in LTE networks. According to the main targeted objective, the current RA techniques are classified into three categories: massive access control techniques, energy efficiency techniques, and performance improvement techniques. Each category is further divided into two subcategories, and the relevant RA techniques are presented for each category. Furthermore, an analytical comparison has been provided among the different techniques according to the parameters for each approach. This work can be considered a good starting point for those who are interested in RA techniques for M2M communications over LTE/LTE-A networks.

M2M access performance in LTE-A system

Abstract: Machine-type communication emerges recently as a solution to cater for ubiquitous connections between a diversity of devices and the public wireless data networks. Long Term Evolution Advanced system introduces machinetomachine M2M communication as an important part of realising the blueprint of smart cities. To bring M2M communication into reality, the access procedure is a key problem. Massive access requests on the air interface in M2M communication make the communication scenarios significantly different from the traditional communications, which challenges the cellular access mechanism greatly. In this paper, the challenges of applying M2M through Long Term Evolution Advanced system are discussed. We model the access on the air interface as a queuing system. The queuing theory indicates that the system is not stable when the occupation rate is high. The access performance of M2M is evaluated by system level simulation, which shows that the congestion on the air interface is very serious in some application cases. To ease the congestion on the air interface, this paper proposes a bundling transmission scheme. Copyright © 2013 John Wiley & Sons, Ltd.

Method and apparatus for supporting handoff from gprs/geran to lte eutran

Abstract: A method and apparatus for supporting a handoff (HO) from a general packet radio service (GPRS), global system for mobile communication radio access network (GERAN), and long term evolution (LTE) evolved universal terrestrial radio access network (EUTRAN) includes receiving an LTE measurement report. An HO is initiated to the LTE network and a relocation request signal is transmitted. A relocation command signal that includes an evolved Node-B (eNB) identifier (ID) is received.