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
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TL;DR: In this article, the authors compared different scanning and signaling procedures to evaluate access delay and system overhead in mmWave cellular systems, and demonstrated significant benefits of low-resolution fully digital architectures in comparison to single stream analog beamforming.
Abstract: The millimeter wave (mmWave) bands have recently attracted considerable interest for next-generation cellular systems due to the massive available bandwidths at these frequencies. However, a key challenge in designing mmWave cellular systems is initial access -- the procedure by which a mobile establishes an initial link-layer connection to a base station cell. MmWave communication relies on highly directional transmissions and the initial access procedure must thus provide a mechanism by which initial transmission directions can be searched in a potentially large angular space. Design options are compared considering different scanning and signaling procedures to evaluate access delay and system overhead. The channel structure and multiple access issues are also considered. The analysis demonstrates significant benefits of low-resolution fully digital architectures in comparison to single stream analog beamforming.
11 citations
TL;DR: This work proposes to assign the bandwidth and transmission power to minimize the total buffer occupancy in the system subject to capacity constraints, queue stability constraints, and interference requirements of the primary users.
11 citations
Cites background from "3G Evolution : HSPA and LTE for Mob..."
...A detailed description of the LTE radio interface can be found, for instance, in [11]....
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03 Apr 2016
TL;DR: A block iterative support detection based algorithm for channel estimation that fully exploits the block sparsity inherent in the block-sparse equivalent channel impulse response (CIR) generated by considering the spatial correlations of MIMO channels is proposed.
Abstract: Massive MIMO has become a promising key technology for future 5G wireless communications to increase the channel capacity and link reliability. However, with greatly increased number of transmit antennas at the base station (BS) in massive MIMO systems, the pilot overhead for accurate acquisition of channel state information (CSI) will be prohibitively high. To address this issue, we propose a block iterative support detection (block-ISD) based algorithm for channel estimation to reduce the pilot overhead. The proposed block-ISD algorithm fully exploits the block sparsity inherent in the block-sparse equivalent channel impulse response (CIR) generated by considering the spatial correlations of MIMO channels. Furthermore, unlike conventional greedy compressive sensing (CS) algorithms that rely on prior knowledge of the channel sparsity level, block-ISD relaxes this demanding requirement and is thus more practically appealing. Simulation results demonstrate that block-ISD yields better normalized mean square error (NMSE) performance than classical CS algorithms, and achieve a reduction of 87.5% pilot overhead than conventional channel estimation techniques.
11 citations
Cites background from "3G Evolution : HSPA and LTE for Mob..."
...I. INTRODUCTION Multiple-input multiple-output (MIMO) technology has been adopted by numerous wireless communication standards like long term evolution-advanced (LTE-A) [1] due to its attractive potential gains both in system capacity and link reliability....
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15 Jun 2010
TL;DR: It is shown that the fully static approach is not suitable for the LTE PUSCH and that present DSP cores are powerful enough to recompute an efficient adaptive schedule for the application most complex cases in real-time.
Abstract: The Long Term Evolution (LTE) is the next generation cellular system of 3GPP, where every subframe (1 millisecond duration), a base station receives information from up to one hundred users. Multicore heterogeneous embedded systems with Digital Signal Processors (DSP) and coprocessors are power efficient solutions which decode the LTE uplink signals and encode the downlink LTE signals in base stations. The LTE Physical Uplink Shared Channel (PUSCH) uses a dynamic algorithm, as its multicore scheduling must be adapted every subframe to the number of transmitting users and to the data rate of the services they require. To solve this particular issue of the dynamic deployment while maintaining low latency, one approach is to find efficient on-the-fly solutions using techniques such as graph generation and scheduling. This approach is opposed to a fully static scheduling of predefined cases, approach currently used in the UMTS deployments. We show that the fully static approach is not suitable for the LTE PUSCH and that present DSP cores are powerful enough to recompute an efficient adaptive schedule for the application most complex cases in real-time.
11 citations
Cites methods from "3G Evolution : HSPA and LTE for Mob..."
...This high performance results from the use of advanced techniques including Multiple Input Multiple Output (MIMO), Orthogonal Frequency-Division Multiple Access (OFDMA) in the downlink processing and Single-Carrier FrequencyDivision Multiple Access (SC-FDMA) in the uplink processing [5] [17]....
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01 Jan 2013
TL;DR: Simulations results with video sequences show that significant gains could be observed by the optimization problem of scheduling and resource allocation for separate streams in terms of spectrum efficiency, QoS of packet delay, and video quality while maintaining the fairness among the streams.
Abstract: Long Term Evolution (LTE) has been proposed as a promising radio access technology to bring higher peak data rates and better spectral efficiency. However, scheduling and resource allocation in LTE still face huge design challenges due to their complexity. In this paper, the optimization problem of scheduling and resource allocation for separate streams is first formulated. By separating streaming scheduling and packet sorting, the scheduler is aware of probabilistic state information, fairness among the streams, and the frame weight. We integrate our algorithm in a parallelized modification of the PRISM simulation framework. Extensive validation with both new and PRISM benchmarks demonstrates that the approach scales very well in scenarios where symbolic algorithms fail to do so. Simulations results with video sequences show that significant gains could be observed by our scheme in terms of spectrum efficiency, QoS of packet delay, and video quality while maintaining the fairness among the streams.
11 citations
Cites methods from "3G Evolution : HSPA and LTE for Mob..."
...Once FLS has accomplished its task, the lowest layer scheduler, every transmission time interval (TTI), assigns resource blocks (RBs) using the proportional fair (PF) algorithm [10] by considering bandwidth requirements of FLS....
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