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.read more
Citations
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Journal ArticleDOI
Centralized and Distributed Solutions for Fast Muting Adaptation in LTE-Advanced HetNets
Beatriz Soret,Klaus I. Pedersen +1 more
TL;DR: Performance results with bursty traffic show that the fast-dynamic eICIC solutions for centralized and distributed radio resource management (RRM) architectures provides significant gains, both in fifth-percentiles and 50th-percentile user throughputs, and improvements in user fairness.
Journal ArticleDOI
Eliminating NB-IoT Interference to LTE System: A Sparse Machine Learning-Based Approach
TL;DR: A novel sparse machine learning-based framework and a sparse combinatorial optimization problem is formulated for accurate NBI recovery, which can be efficiently solved using the proposed iterative sparse learning algorithm called sparse cross-entropy minimization (SCEM).
Journal ArticleDOI
Exact MIMO Zero-Forcing Detection Analysis for Transmit-Correlated Rician Fading
Constantin Siriteanu,Steven D. Blostein,Akimichi Takemura,Hyundong Shin,Shahram Yousefi,Satoshi Kuriki +5 more
TL;DR: In this article, the performance of MIMO systems employing spatial multiplexing and zero-forcing detection (ZF) is analyzed for Rician-Rayleigh fading and Rayleigh-Rician fading.
Proceedings ArticleDOI
Joint user association and resource allocation in small cell networks with backhaul constraints
Zhe Cui,Raviraj S. Adve +1 more
TL;DR: This work considers maximization of the weighted sum rate in small cell networks with carrier aggregation while enforcing a backhaul constraint on each SC AP, and proposes an efficient, waterfilling-like, algorithm which converges to a locally optimal solution of the non-convex optimization problem.
Journal ArticleDOI
Traffic Engineering for Multicast Connections in Multiservice Cellular Networks
TL;DR: A new analytical model of a cellular network that supports multicast connections in a distributed environment and high accuracy of the model and the correctness of all theoretical assumptions adopted in the study are verified.
References
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Proceedings ArticleDOI
Overview of UMTS Air-Interface Evolution
Brian K. Classon,Kevin L. Baum,Vijay Nangia,R. Love,Yakun Sun,R. Nory,K. Stewart,Arunabha Ghosh,Rapeepat Ratasuk,Weimin Xiao,Jun Tan +10 more
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.