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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
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Proceedings ArticleDOI
03 Jun 2018
TL;DR: In this paper, the realistic throughput performance of three different wireless communications technologies namely, Long Term Evolution (LTE), Wireless-F fidelity (WiFi) and Light-Fidelity (LiFi) is investigated inside a medium-sized commercial aircraft and it is shown that the average user throughput performance is 1.6 Mbps.
Abstract: The key requirement of fifth generation (5G) systems is seamless connectivity for anyone and anything. The current form of terrestrial mobile systems are mostly mature enough to provide connectivity for any terrestrial user and device. Nowadays, several projects seek to enhance the terrestrial systems to provide such connectivity to airborne users. However, providing connectivity for every airborne user needs a special design for different aircraft types. Due to the shape and structure of an aircraft, widely used system and channel models in terrestrial systems cannot be directly applied to onboard communication systems. In this paper, the realistic throughput performance of three different wireless communications technologies namely, Long Term Evolution (LTE), Wireless-Fidelity (WiFi) and Light-Fidelity (LiFi) is investigated inside a medium-sized commercial aircraft. It is shown that the average user throughput performance is 1.6 Mbps, 2.7 Mbps and 16.6 Mbps for onboard WiFi, LTE and LiFi systems, respectively.

13 citations


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

  • ...An adaptive downlink power allocation is not supported in LTE [13]....

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  • ...In LTE, this is called scheduling and it is not standardized by third generation partnership project (3GPP) - operators can decide their scheduling policies [13]....

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Proceedings ArticleDOI
01 Sep 2009
TL;DR: A novel dynamic JRRM algorithm based on Reinforcement Learning (RL) which is considered to be a good candidate to achieve cognition in future reconfigurable networks for LTE-UMTS coexistence scenarios is proposed.
Abstract: Constantly increasing demand for throughput and quality in wireless communication systems leads to continuous research of wise radio resource management, because of the scarce availability of frequency bands and the consequent capacity limitations. In addition, technology evolution is addressed towards spectral efficient techniques that can offer higher data rates. This is the case of OFDMA (Orthogonal Frequency-Division Multiple Access), introduced by 3GPP as the technology for future Long Term Evolution (LTE). However, given the current penetration of legacy technologies such as UMTS (Universal Mobile Telecommunications System), operators will have to deal with the coexistence of multiple Radio Access Technologies (RATs), so that the exploitation of the complementarities between technologies through Joint Radio Resource Management (JRRM) mechanisms will be needed. In this paper we propose a novel dynamic JRRM algorithm for LTE-UMTS coexistence scenarios. The proposed mechanism is based on Reinforcement Learning (RL) which is considered to be a good candidate to achieve cognition in future reconfigurable networks. The proposed solution implements autonomous RL agents in each base station which decide on the allocation of the most suitable RAT to each user. We give a detailed description of the solution and analyze the behavior under various load conditions. We also demonstrate the capability of the algorithm to adjust in dynamic scenarios.

13 citations


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

  • ...Starting from Release 8, 3GPP has adopted OFDMA (Orthogonal Frequency-Division Multiple Access) as the technology for the so-called Long Term Evolution (LTE) [2] to achieve high traffic capacities in 4G mobile networks....

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Journal ArticleDOI
TL;DR: It is shown that the collaboration between the proposed schemes significantly improve the performance of the proposed cepstrum based detection and estimation schemes, and their performances are studied through simulations.
Abstract: Cepstral analysis has been widely used in audio and speech processing applications because of its ability to reveal periodicities in a signal. The presence of cyclic prefix (CP) in orthogonal frequency division multiplexing (OFDM) signals induces periodicities. Motivated by this, the paper focuses on cepstral analysis of OFDM signal. The distributions of cepstral coefficients are derived for two scenarios of noise only and OFDM signal in noise. It is shown that the OFDM cepstrum is significantly different from the additive white Gaussian noise (AWGN) cepstrum and can be used to detect OFDM waveforms. It is also shown that the cepstrum of OFDM is rich in features and can be used to estimate OFDM parameters such as number of subcarriers and length of the CP in an OFDM symbol. These OFDM waveform parameters can be used to automatically recognize or classify different OFDM waveforms, which are important for cognitive radios, coexistence of heterogeneous networks and signal intelligence. Two schemes are proposed to detect OFDM based primary user (PU) signals in cognitive radio systems. The distributions of the test statistics under the two hypotheses are established. Neyman-Pearson detection strategy is employed. Algorithms for estimating the number of subcarriers and the length of the CP are proposed and their performances studied through simulations. Later the proposed schemes are extended to cooperative sensing scenario with multiple secondary users (SUs) and it is shown that the collaboration between them significantly improve the performance of the proposed cepstrum based detection and estimation schemes.

13 citations

Proceedings ArticleDOI
09 Nov 2010
TL;DR: This paper presents an approach to combine opponents in a closed-form objective for maximization of operator profit by means of joint base station and relay station placement in 4G multi-hop relay networks and suggests two economically motivated options how to choose appropriate weights for combining the conflicting objectives linearly.
Abstract: Generally, planning and configuring cellular radio networks lead to multi-objective optimization problems with conflicting objectives, e.g., coverage and cost. In this paper, we present an approach to combine those opponents in a closed-form objective for maximization of operator profit by means of joint base station and relay station placement in 4G multi-hop relay networks. The corresponding optimization model is formulated as mixed-integer linear program and particularly considers allocation of limited bandwidth for downlink data transmission in non-cooperative relaying mode. We suggest two economically motivated options how to choose appropriate weights for combining the conflicting objectives linearly. Furthermore, we apply the proposed optimization model to an exemplary planning scenario to analyze sensitivity to weight modifications numerically.

13 citations


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

  • ...…for Theoretical Information Technology RWTH Aachen University D-52056 Aachen, Germany {engels, reyer, mathar}@ti.rwth-aachen.de Abstract—Generally, planning and configuring cellular radio networks lead to multi-objective optimization problems with conflicting objectives, e.g., coverage and cost....

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Proceedings ArticleDOI
19 Oct 2011
TL;DR: An algorithm to estimate multipath channels with Sparse Common Support (SCS) based on Finite Rate of Innovation (FRI) sampling based on a multi-output extension of the Cadzow denoising/annihilating filter method is proposed.
Abstract: We propose an algorithm (SCS-FRI) to estimate multipath channels with Sparse Common Support (SCS) based on Finite Rate of Innovation (FRI) sampling. In this setup, theoretical lower-bounds are derived, and simulation in a Rayleigh fading environment shows that SCS-FRI gets very close to these bounds. We show how to apply SCS-FRI to OFDM and CDMA downlinks. Recovery of a sparse common support is, among other, especially relevant for channel estimation in a multiple output system or beam-forming from multiple input. The present algorithm is based on a multi-output extension of the Cadzow denoising/annihilating filter method [1, 2].

13 citations