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Journal ArticleDOI

LTE-advanced: next-generation wireless broadband technology [Invited Paper]

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TLDR
An overview of the techniques being considered for LTE Release 10 (aka LTEAdvanced) is discussed, which includes bandwidth extension via carrier aggregation to support deployment bandwidths up to 100 MHz, downlink spatial multiplexing including single-cell multi-user multiple-input multiple-output transmission and coordinated multi point transmission, and heterogeneous networks with emphasis on Type 1 and Type 2 relays.
Abstract
LTE Release 8 is one of the primary broadband technologies based on OFDM, which is currently being commercialized. LTE Release 8, which is mainly deployed in a macro/microcell layout, provides improved system capacity and coverage, high peak data rates, low latency, reduced operating costs, multi-antenna support, flexible bandwidth operation and seamless integration with existing systems. LTE-Advanced (also known as LTE Release 10) significantly enhances the existing LTE Release 8 and supports much higher peak rates, higher throughput and coverage, and lower latencies, resulting in a better user experience. Additionally, LTE Release 10 will support heterogeneous deployments where low-power nodes comprising picocells, femtocells, relays, remote radio heads, and so on are placed in a macrocell layout. The LTE-Advanced features enable one to meet or exceed IMT-Advanced requirements. It may also be noted that LTE Release 9 provides some minor enhancement to LTE Release 8 with respect to the air interface, and includes features like dual-layer beamforming and time-difference- of-arrival-based location techniques. In this article an overview of the techniques being considered for LTE Release 10 (aka LTEAdvanced) is discussed. This includes bandwidth extension via carrier aggregation to support deployment bandwidths up to 100 MHz, downlink spatial multiplexing including single-cell multi-user multiple-input multiple-output transmission and coordinated multi point transmission, uplink spatial multiplexing including extension to four-layer MIMO, and heterogeneous networks with emphasis on Type 1 and Type 2 relays. Finally, the performance of LTEAdvanced using IMT-A scenarios is presented and compared against IMT-A targets for full buffer and bursty traffic model.

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Citations
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Design and Evaluation of Antenna Selection Methods for Interference Rejection Combining

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Using Beamforming for Dense Frequency Reuse in 5G

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Energy-Efficient Downlink Resource Scheduling for LTE-A Networks with Carrier Aggregation.

TL;DR: It is shown that the MARS problem is NP-hard and an efficient heuristic is proposed by considering data backlog, channel condition, and energy expense of users that can increase system performance, conserve energy of user equipment, and reduce transmission power emitted from the base station.
Proceedings ArticleDOI

A Novel Power Allocation Method for Non-orthogonal Multiple Access in Cellular Uplink Network

TL;DR: A method based on particle swarm optimization with genetic algorithm, which makes the power allocation by taking the advantage of channel state information (CSI) for each sub-channel; and can obtain a better performance comparing with the conventional method.
Proceedings ArticleDOI

Compressive sensing based intercell interference channel estimation for heterogeneous network

TL;DR: This paper proposes an intercell interference channel estimation scheme for HetNets using compressive sensing (CS) and shows that this scheme obtains accurate estimation of interference channel and is robust to variations in multipath number and signal-to-interference ratio (SIR).
References
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Proceedings ArticleDOI

Overview of UMTS Air-Interface Evolution

TL;DR: A preliminary look at the air interface for Evolved UTRA (E-UTRA) and associated key technologies required to reach its design objectives are provided.
Proceedings ArticleDOI

On UMTS-LTE Physical Uplink Shared and Control Channels

TL;DR: The proposed channel estimation technique is shown to have significant gains in performance compared to other well known channel estimation techniques such as the maximum-likelihood (ML) and the inverse fast Fourier transform (IFFT) channel estimation methods.
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LTE-Advanced (also known as LTE Release 10) significantly enhances the existing LTE Release 8 and supports much higher peak rates, higher throughput and coverage, and lower latencies, resulting in a better user experience.