3G Evolution : HSPA and LTE for Mobile Broadband

Book•

3G Evolution : HSPA and LTE for Mobile Broadband

Erik Dahlman, Stefan Parkvall, Johan Sköld, Per Beming

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.

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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

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Dissertation•

Interference mitigation in cognitive femtocell networks

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Harold Orduen Kpojime

10 Sep 2015

3 citations

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

...In this section, the effectiveness of the scheduling algorithm for interference mitigation in a two-tier CF network is evaluated and compared with best Channel Quality Indicator (CQI) [146] and Proportional Fair (PF) schedulers [147]....
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...July, 2015. vii Acronyms 3GPP 3rd Generation Partnership Project AMR-WB Adaptive Multi-Rate Wideband ATM Asynchronous Transfer Mode BLER Block Error Ratio BS Base Station CAPEX Capital Expenditure CF Cognitive Femtocell CFBS Cognitive Femtocell Base Station CM-RM Cognitive Manager for Resource Management CM-SM Cognitive Manager for Spectrum Management CP Cyclic Prefix CR Cognitive Radio CRC Cyclic Redundancy Check CSG Close Subscriber Group CQI Channel Quality Indicator DAS Distributed Antenna Systems DL Downlink DMUE Desired MUE DOA Direction of Arrival DSA Dynamic Spectrum Access viii DSL Digital Subscriber Line ETSI European Telecommunications Standards Institute FAPs Femtocell Access Points FCC Federal Communications Commission FDD Fractional Frequency Donation FTP File Transfer Protocol FUE Femtocell User Equipment FPC Fractional Power Control GRACE Game-based Resource Allocation in Cognitive Environments HARQ Hybrid Automatic Repeat Request HeNB Home eNodeB HNB Home NodeB HO Handover HSDPA High-Speed Downlink Packet Access HSUPA High-Speed Uplink Packet Access HTTP Hypertext Transfer protocol IEEE Institute of Electrical and Electronics Engineers IP Internet Protocol ISM Industrial, Scientific and Medical LCR-TDD Low Chip Rate Time Division Duplex LE Logit Equilibrium LTE Long term Evolution MBS Macrocell Base Station MIESM Mutual Information based Exponential SNR Mapping MIMO Multi-Input and Multi-Output MMS Multimedia Messaging Service MS Mobile Station ix MUE Macrocell User Equipment OPEX Operational Expenditure OFDM Orthogonal Frequency Division Multiplexing OFDMA Orthogonal Frequency Division Multiplexing Access PC Physical Cluster PHY Physical Layer PKI Performance Key Indicator PF Proportional Fair PU Primary User QAM Quadrature Amplitude Modulation QoS Quality of Service QPSK Quadrature Phase Shift Keying RAU Remote Antenna Units RBs Resource Blocks RF Radio Frequency RSS Received Signal Strength RSSI Received Signal Strength Indication SAE System Architecture Evolution SINR Signal to Interference plus Noise Ratio SC-FDMA Single Carrier Frequency Division Multiple Access SCFN Smart Cognitive-Femto Network SFA Selfish Frequency Access SRS Sounding Reference Signal SU Secondary User TTI Transmission Time Interval TVWS Television White Space UEs User equipments x UMUE Undesired MUE UL Uplink VC Virtual Cluster VOIP Voice over Internet Protocol WiFi Wireless Fidelity WIMAX Worldwide Interoperability for Microwave Access xi List of figures Figure 1.1: Femtocell deployment 4 Figure1....
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Investigation of Automated Terminal Interoperability Test

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Niklas Brammer

01 Jan 2008

TL;DR: In order to develop and secure the functionality of its cellular communications systems, Ericsson deals with numerous R&D and I&V activities, one important aspect is interoperability with other Ericsson systems.

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Abstract: In order to develop and secure the functionality of its cellular communications systems, Ericsson deals with numerous R&D and I&V activities. One important aspect is interoperability with m ...

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3 citations

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

...If multiple antennas are used both at transmitter and receiver, multiple parallel communication channels can be set up over the radio interface [9]....
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...With lte this approach will change [9]....
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...ofdm has high spectral efficiency2 [9]....
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...The approach to lte, however, has not focused on backward compatibility [9]....
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...The structure of the new core network is a major evolution from the cn of gsm and has therefore been renamed to epc [9]....
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Proceedings Article•DOI•

Performance of LTE linear MIMO detectors: Achievable data rates and complexity

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Dragan Samardzija¹, Milos Pilipovic¹, Dusica Marijan¹, Jaroslav Farkas¹, Miodrag Temerinac¹ - Show less +1 more•Institutions (1)

University of Novi Sad¹

07 Jun 2010

TL;DR: It is shown that a corresponding single-input multiple-output (SIMO) solution outperforms MIMO for moderate and high mobile terminal speeds and the SIMO transmission is shown to be more efficient.

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Abstract: In this study we analyze performance of linear single user multiple-input multiple-output (SU-MIMO) detector applied in 3GPP LTE wireless systems. We consider minimum mean square error (MMSE) linear detectors based on (i) explicit matrix inversion, and (ii) adaptive gradient algorithm. We present the average achievable data rates as a function of different mobile terminal speeds, using the Jakes model, with symbol-by-symbol temporal variations. Mean and cell-edge rates are determined using two-dimensional multi-cell model. The LTE-specific reference signal (i.e., pilot) arrangements are considered. In addition, the implementation complexity is analyzed. At the expense of higher implementation complexity, for higher mobile terminal speeds and signal-to-interference-and-noise ratio (SLNR) the detector based on explicit matrix inversion outperforms the one based on the adaptive gradient algorithm. Furthermore, we show that a corresponding single-input multiple-output (SIMO) solution outperforms MIMO for moderate and high mobile terminal speeds. In addition, complexity-wise the SIMO transmission is shown to be more efficient. The results indicate that the MIMO transmission with linear detection should be applied only in a very limited number of channel conditions: (i) high SINR, and (ii) low mobility. This study may be used as a basis for establishing a trade-off between the data rates, complexity and multiple antenna arrangements.

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3 citations

Detection algorithms and FPGA implementations for SC-FDMA uplink receivers

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Tuomo Hänninen

01 Jan 2018

TL;DR: An efficient combination of IAI and ISI equalisation for SC-FDMA receivers is proposed, and the proposed receiver architecture is shown to be a considerable improvement over the conventional linear minimum mean-square error (LMMSE) receiver.

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Abstract: The demand in mobile broadband communications is increasing dramatically. It is expected that 1000 times more mobile-network capacity will be needed within 10 years. Multiple-input, multiple-output (MIMO) antenna configuration and spatial multiplexing are among the essential techniques for reaching the targets. This creates motivation for study of advanced receivers for combating inter-antenna interference (IAI) and inter-symbol interference (ISI). While various receiver structures have been extensively considered for MIMO receivers, the emphasis has been on those operating in downlink orthogonal frequency-division multiple access (OFDM) systems, wherein ISI is not a problem. In this thesis, advanced receiver structures for single-carrier frequency-division multiple access (SC-FDMA) uplink systems were studied and analysed. Various receivers were compared via MATLAB simulations, with the objective being to gain solid understanding of how they perform in different channel environments. An efficient combination of IAI and ISI equalisation for SC-FDMA receivers is proposed. The proposed receiver architecture is shown to be a considerable improvement over the conventional linear minimum mean-square error (LMMSE) receiver. Several MIMO detector algorithms and their performance–complexity characteristics are presented. The K-best algorithm with a list size of 8 is shown to be the best option for practical MIMO detector implementation of this receiver in the 4 × 4 MIMO 64-level quadrature amplitude modulation (QAM) scenario. The second objective involved examining the implementation aspects of the 8-best receiver to achieve good understanding of the complexity of various implementation architectures. It emerged that avoiding the sorting operation in the 8-best list sphere detector (LSD) tree-search algorithm implementation is not recommendable in the 4 × 4 MIMO 64-QAM scenario. Several field-programmable gate array (FPGA) implementations were carried out, with a range of highlevel synthesis (HLS) tools. It is shown that HLS tools have improved significantly and are especially favourable for prototyping of large designs. Additionally, the importance of FPGA technology selection is addressed. Smaller silicon technology should be exploited if base-station baseband processing power consumption is to be minimised. The potential performance or complexity-related gain with the latest FPGAs should be taken into account in comparison of the performance–complexity characteristics of the algorithms. Differences of a few tens of per cent in estimated complexity or performance between two algorithms are often below the threshold of what can be gained or lost in the practical implementation process.

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3 citations

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

...This later evolved into High Speed Packet Access (HSPA) and Evolved High Speed Packet Access (HSPA+) [5], with the latter providing data rates as high as 42....
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Journal Article•DOI•

Subcarrier grouping with environmental sensing for MIMO-OFDM systems over correlated double-selective fading channels

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Jiaxun Lu, Zhengchuan Chen, Pingyi Fan, Khaled Ben Letaief

02 Nov 2015-arXiv: Information Theory

TL;DR: An adaptive subcarrier grouping scheme is proposed to satisfy the preset capacity loss threshold by adjusting grouping size with the sensed environmental information and mobile velocity and results show that to achieve a better system capacity, a sparse scattering, lower signal-to-noise ratio, and lower velocity are matched with larger sub carrier group size.

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Abstract: With the increase of physical antenna and subcarrier numbers in MIMO-OFDM systems, channel side information feedback amount and signal precoding complexity overburden will consume much more system resource, even become intolerable. To solve this problem, previous works mainly focused on fixed subcarrier grouping size and precoded MIMO signals in the same group with unitary channel state information (CSI). It could reduce the system overburden, but such a process would lead to system capacity loss due to the channel mismatch in precoding procedure. In this paper, we consider a MIMOOFDM system over double-selective i.i.d. Rayleigh channels and investigate the quantitative relation between group size and capacity loss theoretically. By exploiting our developed theoretical results, we also propose an adaptive subcarrier grouping algorithm, which not only enables to have a good control of system service quality but also to reduce system overburden significantly. Numerical results are shown to provide valuable insights on the system design of MIMO-OFDM systems and indicate that the proposed subcarrier grouping scheme is extremely efficient in some common scenarios.

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3 citations

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

...Bf is assumed as 14KHz and Bt = 1 Bf = 71us, referencing datas from [20]....
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3G Evolution : HSPA and LTE for Mobile Broadband

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