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.

Influence of future M2M communication on the LTE system

Abstract: Machine-to-Machine (M2M) communications is one of the latest research areas. This technology aims to enable machines to communicate with each other, mainly, without human intervention. M2M traffic is envisaged to play a big role within the coming years; lots of research projects and standardization bodies around the world have already started paying attention to the rising M2M communication. Current cellular mobile networks, such as LTE, are designed and optimized for traffic characteristics of human-based communication, but M2M traffic is different: Packet sizes are small, but transmitted periodically by numerous endpoints. In this paper, we focus on how LTE cellular networks will handle the massive deployment of M2M devices. In order to do so, the authors specified an M2M traffic model that represent a possible logistical scenario in the future. Besides M2M traffic, also regular LTE traffic is present in the network and the influence of the increasing M2M traffic is investigated. The results of the simulations show that M2M traffic will influence regular, human-based traffic. In particular the file upload time for regular LTE traffic experiences a considerable increase.

Utility Maximization in LTE-Advanced Systems with Carrier Aggregation

Abstract: Long Term Evolution (LTE)-Advanced is expected to aggregate multiple Component Carrier (CC)s to fulfil the high data rate requirement. It may serve users with different capabilities in accessing these CCs, e.g., some can access all CCs, whereas some may operate on only one CC. This gives challenges to the packet scheduler to maximize the system performance over all CCs. In this paper we provide a mathematical model of the log-measure utility in an LTE-Advanced system, and give proof that our previously developed cross-CC Proportional Fair (PF) packet scheduler maximizes this utility. System level simulations are performed, which confirm that cross-CC PF scheduling offers much higher utility than independent PF and channel blind schedulers. This scheduler is then generalized to adjust the resource sharing among users. It can trade off between average cell throughput and cell edge user throughput. However, any adjustment in the resource sharing leads to a loss in utility.

Evolution concept and candidate technologies for future steps of LTE-A

Abstract: This paper presents our views on the evolution concept and candidate technologies for future steps of 3GPP LTE-Advanced (LTE-A), which was the first major step in the continuous evolution of LTE. In the future steps of LTE-A, we will need to ensure the sustainability of 3GPP radio access technologies in order to respond to the anticipated challenging requirements in the future. Taking into account the ever-increasing importance of local area (small cells) and the need for further spectrum extension in particular, we present a common evolution concept for the future steps of LTE-A (referred to as LTE-B, C, and so on). This concept emphasizes integration of local area and wide area and focuses on frequency-separated deployment between local area and wide area as an important scenario for the efficient utilization of higher frequency bands. Furthermore, we identify key potential technologies for further spectrum efficiency enhancements, e.g., 3D/massive MIMO/beamforming, receiver interference cancellation, and dynamic TDD, and for integrating local area with wide area assuming the frequency-separated scenario using the proposed macro-assisted small cell that we refer to as a Phantom cell.

ABS-based Method for Inter Cell Interference Coordination in LTE-Advanced Networks

Abstract: The Long Term Evolution Advanced (LTE-A) network, is a heterogeneous network, where macro and pico base stations (BSs) coexist to improve spectral efficiency per unit area. Systems and methods described herein attempt to provide a solution to the interference coordination problem between macro BSs and pico user equipments (UEs). Specifically, the systems and methods conduct interference coordination based on the concept of almost blank subframe (ABS), which is supported by the LTE-A standard. The macro BSs choose their ABS configurations in a cooperative way such that the overall system throughput is optimized.

Beamforming for small cell deployment in LTE-advanced and beyond

Abstract: Integrating the standard coverage of traditional macrocells with cells of reduced dimensions (i.e., small cells) is considered one of the main enhancements for Long Term Evolution systems. Small cells will be overlapped with macrocells and possibly also with each other in areas where wider coverage capability and higher throughput are needed. Such heterogeneous network deployment presents many potential benefits but also some challenges that need to be resolved. In particular, multi-antenna techniques and processing in the spatial domain will be key enabling factors to mitigate these issues. This article presents different small cell deployment approaches: sharing the same frequency bands with the macrocell, or using separated higher frequency bands. For each approach, the benefits of beamforming are discussed.