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3G Evolution : HSPA and LTE for Mobile Broadband

TL;DR: In this paper, the authors present a very up-to-date and practical book, written by engineers working closely in 3GPP, gives insight into the newest technologies and standards adopted by threeGPP with detailed explanations of the specific solutions chosen and their implementation in HSPA and LTE.
Abstract: This very up-to-date and practical book, written by engineers working closely in 3GPP, gives insight into the newest technologies and standards adopted by 3GPP, with detailed explanations of the specific solutions chosen and their implementation in HSPA and LTE. The key technologies presented include multi-carrier transmission, advanced single-carrier transmission, advanced receivers, OFDM, MIMO and adaptive antenna solutions, advanced radio resource management and protocols, and different radio network architectures. Their role and use in the context of mobile broadband access in general is explained. Both a high-level overview and more detailed step-by-step explanations of HSPA and LTE implementation are given. An overview of other related systems such as TD SCDMA, CDMA2000, and WIMAX is also provided.This is a 'must-have' resource for engineers and other professionals working with cellular or wireless broadband technologies who need to know how to utilize the new technology to stay ahead of the competition.The authors of the book all work at Ericsson Research and are deeply involved in 3G development and standardisation since the early days of 3G research. They are leading experts in the field and are today still actively contributing to the standardisation of both HSPA and LTE within 3GPP. * Gives the first explanation of the radio access technologies and key international standards for moving to the next stage of 3G evolution: fully operational mobile broadband* Describes the new technologies selected by the 3GPP to realise High Speed Packet Access (HSPA) and Long Term Evolution (LTE) for mobile broadband * Gives both higher-level overviews and detailed explanations of HSPA and LTE as specified by 3GPP
Citations
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Report SeriesDOI
24 Jul 2018
TL;DR: This paper aims to simplify the detection network model, and the simplification runs through the entire data processing, and indicates that the proposed structure has better performance than the existing detection network.
Abstract: Deeping learning can achieve high parallelism and robustness, which is especially suitable for massive multiple-input multiple-output (MIMO) detection. There are already some well-developed deep learning models applied to MIMO detection, in which detection network is a typical representative model with excellent performance, but its complexity is high. This paper aims to simplify the detection network model, and the simplification runs through the entire data processing. This simplification includes three improvements. First, the number of inputs is reduced to simplify inputs; Second, the network connection structure is simplified by changing network from full connectivity to sparsely connectivity and reducing the number of network layers by half. Third, the loss function optimizes to avoid irreversible problems with the matrix. Base on the above improvements, the complexity of the network is reduced from $\mathcal{O}(64n^{2})$ to $\mathcal{O}(3n)$ . The simulation results indicates that the proposed structure has better performance than the existing detection network.

19 citations


Cites background from "3G Evolution : HSPA and LTE for Mob..."

  • ...Multiple-input multiple-output (MIMO) technology can improve spectrum efficiency and has been applied in many wireless communication standards, such as WiMax and LTE [1] [2]....

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  • ...I. INTRODUCTION Multiple-input multiple-output (MIMO) technology can improve spectrum efficiency and has been applied in many wireless communication standards, such as WiMax and LTE [1] [2]....

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Proceedings ArticleDOI
01 Dec 2014
TL;DR: A novel framework and scheduling algorithm is proposed that uses heterogeneous network architecture (macro eNodeB and mini base stations) to reduce the collision rate and access delay of dense IoT devices by randomizing their access without affecting the Quality of Service (QoS) offered to UEs.
Abstract: Long Term Evolution-Advanced (LTE-A) is increasingly seen as a promising technology for serving Internet of Things (IoT) needs along with mobile user equipments (UEs), due to high data rate, low latency, priority services, etc. The major challenges of incorporating IoT devices into LTE-A are, a large number of IoT devices attempting to access the network in short time, their effect on existing UEs communication, and the need for extra bandwidth to accommodate them. In this paper, we propose a novel framework and scheduling algorithm that uses heterogeneous network architecture (macro eNodeB and mini base stations) to reduce the collision rate and access delay of dense IoT devices by randomizing their access without affecting the Quality of Service (QoS) offered to UEs. Furthermore, the proposed idea avoids the use of extra spectrum or barring mechanisms for IoT devices. Simulation results for a heterogeneous network within a single macro cell with 1 macro eNodeB and 4 mini base stations (mini cells) indicate that the proposed framework and scheduling reduces the collision rate for IoT devices by 80% and access delay by more than 50% during the LTE Random Access Channel (RACH) procedure, as well as improves the QoS to UEs as compared to the Access Barring scheme.

19 citations

Journal ArticleDOI
TL;DR: It is shown that the per-stream ordered SNR converges asymptotically to the inverse, marginal cumulative distribution function (CDF) of post-processing SNR, and an approximation of the marginal CDF for ordered eigenvalues in Wishart random matrices is derived.

19 citations


Cites background or methods from "3G Evolution : HSPA and LTE for Mob..."

  • ...11n, however, allow for non-uniform constellation mappings per spatial stream since it increases the achievable data rate in channels that display spatial stream channel quality disparity [6, 7]....

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  • ...MIMO-OFDM System Model Following the convention of several commercial wireless systems we consider frame-based MIMO-OFDM transmission where source binary data streams are fragmented into frames [6, 22, 7]....

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Proceedings ArticleDOI
25 Jul 2009
TL;DR: The simulation results show that using the combination of Huffman and CF methods is more effective than using each method separately.
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) technique has some drawbacks. One of them is high peak-to-average power ratio (PAPR). This paper proposes a technique to reduce the PAPR using Huffman coding combined with clipping and filtering (CF). The simulation results show that using the combination of Huffman and CF methods is more effective than using each method separately. By using 52 subcarriers and QPSK modulation, about 7 dB PAPR reduction is achieved.

19 citations

Proceedings ArticleDOI
Yngve Selén1, Jonas Kronander1
01 Oct 2012
TL;DR: A computationally feasible approximation of the initial optimization problem is formulated in which the distribution of the aggregated interference is modeled using the Fenton-Wilkinson approximation and the resulting sum-capacity values are higher than what can typically be obtained by using fixed margins for coping with the aggregate interference.
Abstract: This paper presents a solution to the problem of setting power limits for white space devices sharing a spectrum band. It is desired to utilize the available white space efficiently while also protecting the primary system from harmful interference. Power limits are set individually for each white space device by maximizing a joint utility measure, e.g., sum capacity. The aggregated interference caused by the white space devices to the primary system is controlled by constraining the probability of harmful aggregated interference to be below a defined threshold.

19 citations


Cites background from "3G Evolution : HSPA and LTE for Mob..."

  • ...The required solutions on the radio side will likely be a combination of increasing the spectral efficiency by deploying technologies such as LTE and later generations of HSPA [2], using denser deployments, and introducing additional spectrum bands....

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  • ...The required solutions on the radio side will likely be a combination of increasing the spectral efficiency by deploying technologies such as LTE and later generations of HSPA [2], using denser deployments, and introducing additional spectrum bands....

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