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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.


Papers
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Proceedings ArticleDOI
03 May 2011
TL;DR: A Spectrum Accountability framework to be integrated into LTE+ architectures is presented, defining specific element functionality, protocol interfaces, and signaling flow diagrams required to enforce the rights and responsibilities of primary and secondary users.
Abstract: As early as 2014, wireless network operators' spectral capacity will be overwhelmed by the demand brought on by new devices and applications. To augment capacity and meet this demand, operators may choose to deploy a Dynamic Spectrum Access (DSA) overlay. The signaling and functionality required by such an overlay have not yet been fully considered in the architecture of the planned Long Term Evolution Advanced (LTE+) networks. This paper presents a Spectrum Accountability framework to be integrated into LTE+ architectures, defining specific element functionality, protocol interfaces, and signaling flow diagrams required to enforce the rights and responsibilities of primary and secondary users. We also quantify, through simulation, the benefits of using DSA channels to augment capacity. The framework proposed here may serve as a guide in the development of future LTE+ network standards that account for DSA.

21 citations

Journal ArticleDOI
TL;DR: The proposed MUD approach performs iterative likelihood testing and a signal-to-interference plus noise ratio based processing to improve the decoding performance and shows that the proposed combination of methods works well in dense mobile communication environments.
Abstract: The increasing number of mobile devices and the demand for large throughput requiring applications has hampered access to the limited frequency spectrum. The goal of this work is to introduce a new degree of freedom to the reuse of occupied resources by intentionally creating co-existence between different types of signals. First, the co-existence of orthogonal frequency division multiple access and single carrier-frequency division multiple access signals is introduced and analyzed for a conventional successive interference cancellation (c-SIC) processing. Then, the average bit-error-rate is derived for the proposed co-existence approach as a baseline. The results of the analysis lead to the design of an improved adaptive multi-user detection (MUD) approach, which outperforms the c-SIC receiver. The proposed MUD approach performs iterative likelihood testing and a signal-to-interference plus noise ratio based processing to improve the decoding performance. Additionally, three different power control schemes are proposed for heterogeneous networks to improve the gain further and observe the performance in the system-level. Our results show that the proposed combination of methods works well in dense mobile communication environments.

21 citations

Journal ArticleDOI
TL;DR: A downlink scheduler based on a cake-cutting algorithm that can further improve the performance of the optimization algorithms compared with conventional schedulers and show that FeICIC can bring other significant gains in terms of cell-edge throughput, spectral efficiency, and fairness among user throughputs.
Abstract: To obtain good network performance in Long Term Evolution-Advanced (LTE-A) heterogeneous networks (HetNets), enhanced inter-cell interference coordination (eICIC) and further eICIC (FeICIC) have been proposed by LTE standardization bodies to address the entangled inter-cell interference and the user association problems. We propose the distributed algorithms based on the exact potential game framework for both eICIC and FeICIC optimizations. We demonstrate via simulations a 64% gain on energy efficiency (EE) achieved by eICIC and another 17% gain on EE achieved by FeICIC. We also show that FeICIC can bring other significant gains in terms of cell-edge throughput, spectral efficiency, and fairness among user throughputs. Moreover, we propose a downlink scheduler based on a cake-cutting algorithm that can further improve the performance of the optimization algorithms compared with conventional schedulers.

21 citations

Proceedings Article
18 Apr 2012
TL;DR: In this paper, the impact of small cells on the capacity and energy consumption of an LTE-Advanced network in a heterogeneous setting where macro cells coexist with outdoor pico and femtocells is analyzed.
Abstract: We study in this paper the impact of small cells on the capacity and energy consumption of an LTE-Advanced network in a heterogeneous setting where macro cells coexist with outdoor pico and femtocells. We analyze the Erlang-like capacity in such an environment and show the gains obtained from offloading traffic from macro cells to small ones. Energy efficiency is used throughout this study, bringing together network performance and its overall power consumption. Our results show that small cells are a good alternative to network densification as they achieve higher network capacities with good energy efficiency. In order to further improve the efficiency of the resulting heterogeneous network, we propose a sleep mode that switches off some picocells when the traffic is low and quantify the resulting increase in efficiency.

21 citations

Journal ArticleDOI
TL;DR: This paper advocates that large-scale coordination can be obtained through a layered solution: a cluster of few cells is coordinated at the first level, and clusters of coordinated cells are then coordinated at a larger scale (e.g., tens of cells).
Abstract: In LTE-Advanced, the same spectrum can be re-used in neighboring cells, hence coordinated scheduling is employed to improve the overall network performance (cell throughput, fairness, and energy efficiency) by reducing inter-cell interference. In this paper, we advocate that large-scale coordination can be obtained through a layered solution: a cluster of few (i.e., three) cells is coordinated at the first level, and clusters of coordinated cells are then coordinated at a larger scale (e.g., tens of cells). We model both small-scale coordination and large-scale coordination as optimization problems, show that solving them at optimality is prohibitive, and propose two efficient heuristics that achieve good results, and yet are simple enough to be run at every transmission time interval. Detailed packet-level simulations show that our layered approach outperforms the existing ones, both static and dynamic.

21 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202316
202242
202156
202082
2019135
2018192