Book•
3G Evolution : HSPA and LTE for Mobile Broadband
31 Jul 2007-
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
More filters
Dissertation•
08 May 2013
TL;DR: In this paper, the authors present a table of contents and abbreviations of terms and abbreviations for a set of abstracts of the relationship between the two concepts, and discuss the relationships between them.
Abstract: ....................................................................................................................................... i PREFACE ........................................................................................................................................... ii TABLE OF CONTENTS ................................................................................................................... iii TERMS AND ABBREVIATIONS .................................................................................................... v
5 citations
Posted Content•
TL;DR: In this article, neural networks are developed to separately learn specific components of a factor graph describing the distribution of the time sequence, rather than the complete inference task, by exploiting stationary properties of this distribution, the resulting approach can be applied to sequences of varying temporal duration.
Abstract: The design of methods for inference from time sequences has traditionally relied on statistical models that describe the relation between a latent desired sequence and the observed one. A broad family of model-based algorithms have been derived to carry out inference at controllable complexity using recursive computations over the factor graph representing the underlying distribution. An alternative model-agnostic approach utilizes machine learning (ML) methods. Here we propose a framework that combines model-based algorithms and data-driven ML tools for stationary time sequences. In the proposed approach, neural networks are developed to separately learn specific components of a factor graph describing the distribution of the time sequence, rather than the complete inference task. By exploiting stationary properties of this distribution, the resulting approach can be applied to sequences of varying temporal duration. Learned factor graph can be realized using compact neural networks that are trainable using small training sets, or alternatively, be used to improve upon existing deep inference systems. We present an inference algorithm based on learned stationary factor graphs, which learns to implement the sum-product scheme from labeled data, and can be applied to sequences of different lengths. Our experimental results demonstrate the ability of the proposed learned factor graphs to learn to carry out accurate inference from small training sets for sleep stage detection using the Sleep-EDF dataset, as well as for symbol detection in digital communications with unknown channels.
5 citations
Dissertation•
28 Aug 2017
TL;DR: This thesis addresses theoretical and practical challenges of spectrally efficient frequency division multiplexing (SEFDM) systems in both wireless and optical domains and presents solutions for these issues.
Abstract: This thesis addresses theoretical and practical challenges of spectrally efficient frequency division multiplexing (SEFDM) systems in both wireless and optical domains. SEFDM improves spectral efficiency relative to the well-known orthogonal frequency division multiplexing (OFDM) by non-orthogonally multiplexing overlapped sub-carriers. However, the deliberate violation of orthogonality results in inter carrier interference (ICI) and associated detection complexity, thus posing many challenges to practical implementations. This thesis will present solutions for these issues. The thesis commences with the fundamentals by presenting the existing challenges of SEFDM, which are subsequently solved by proposed transceivers. An iterative detection (ID) detector iteratively removes self-created ICI. Following that, a hybrid ID together with fixed sphere decoding (FSD) shows an optimised performance/complexity trade-off. A complexity reduced Block-SEFDM can subdivide the signal detection into several blocks. Finally, a coded Turbo-SEFDM is proved to be an efficient technique that is compatible with the existing mobile standards. The thesis also reports the design and development of wireless and optical practical systems. In the optical domain, given the same spectral efficiency, a low-order modulation scheme is proved to have a better bit error rate (BER) performance when replacing a higher order one. In the wireless domain, an experimental testbed utilizing the LTE-Advanced carrier aggregation (CA) with SEFDM is operated in a realistic radio frequency (RF) environment. Experimental results show that 40% higher data rate can be achieved without extra spectrum occupation. Additionally, a new waveform, termed Nyquist-SEFDM, which compresses bandwidth and suppresses out-of-band power leakage is investigated. A 4th generation (4G) and 5th generation (5G) coexistence experiment is followed to verify its feasibility. Furthermore, a 60 GHz SEFDM testbed is designed and built in a point-to-point indoor fiber wireless experiment showing 67% data rate improvement compared to OFDM. Finally, to meet the requirements of future networks, two simplified SEFDM transceivers are designed together with application scenarios and experimental verifications.
5 citations
Cites methods from "3G Evolution : HSPA and LTE for Mob..."
...In LTE, the sub-carrier spacing is 15 kHz since it may simplify the implementation of WCDMA/HSPA/LTE multimode terminals [175]....
[...]
01 Jan 2017
TL;DR: In this paper, a single-precision floating-point FFT Twiddle Factor (TF) implementation is proposed, based on Adaptive Angle Recoding CORDIC (AARC) algorithm, built and verified on Altera Stratix IV FPGA chip and 65nm SOTB synthesis.
Abstract: In this paper, a single-precision floating-point FFT Twiddle Factor (TF) implementation is proposed. The architecture is based on Adaptive Angle Recoding CORDIC (AARC) algorithm. The TF design is built and verified on Altera Stratix IV FPGA chip and 65nm SOTB synthesis. The FPGA implementation has 103.9 MHz maximum frequency, throughput result of 16.966 Mega-Sample per second (MSps), and resources utilization of 7, 747 ALUTs and 625 registers. On the other hand, the SOTB synthesis has 16, 858 standard cells on an area of 86, 718um2, 166 MHz maximum frequency, and the speed of 27.107 MSps. The accuracy results are 1.133E − 10 Mean-Square-Error (MSE) and about 26 part-per-million (ppm) maximum error-ratio.
5 citations
Cites background from "3G Evolution : HSPA and LTE for Mob..."
...FFT and its inverse transform (IFFT) are the most important kernel in modern communication systems, especially in wireless and multimedia applications such as WiMAX [2], 3GPP-LTE [3], MIMO [4], and CDMA [5]....
[...]
20 Jul 2009
TL;DR: This paper presents a set of models that have been developed to form part of a tool intended for iteratively tuning the mapping of dataflow graphs onto manycores, and reports promising results on the accuracy of performance predictions produced by the tool.
Abstract: The programming complexity of increasingly parallel processors calls for new tools to assist programmers in utilising the parallel hardware resources. In this paper we present a set of models that we have developed to form part of a tool which is intended for iteratively tuning the mapping of dataflow graphs onto manycores. One of the models is used for capturing the essentials of manycores that are identified as suitable for signal processing and which we use as target architectures. Another model is the intermediate representation in the form of a timed configuration graph, describing the mapping of a dataflow graph onto a machine model. Moreover, this IR can be used for performance evaluation using abstract interpretation. We demonstrate how the models can be configured and applied in order to map applications on the Raw processor. Furthermore, we report promising results on the accuracy of performance predictions produced by our tool. It is also demonstrated that the tool can be used to rank different mappings with respect to optimisation on throughput and end-to-end latency.
5 citations
Cites background from "3G Evolution : HSPA and LTE for Mob..."
...One concrete example is the signal processing required in radio base stations (RBS), which is naturally highly parallel and described by computations on streams of data [1]....
[...]