Mutual information based calculation of the Precoding Matrix Indicator for 3GPP UMTS/LTE

Schwarz, Štefan; Wrulich, Martin; Rupp, Markus

doi:10.1109/wsa.2010.5456388

Cited by 57 publications

(22 citation statements)

References 4 publications

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“…We consider low antenna correlation level as defined in [14, table B.2.3.2-1], which is part of the minimum performance test conditions specified in [14] for multi-layer CLSM. This condition can be met at eNodeB in practice, while it can be justified at the CMR by assuming cross polarized antennas [37]. We simulate both 2x2 and 4x4 MIMO modes and consider two channel conditions -(1) EPA at user speed of 3km/h, and (2) ETU at user speed of 60km/h.…”

Section: Methodsmentioning

confidence: 99%

Precoder Detection for Cooperative Decode-and-Forward Relaying in OFDMA Systems

Valluri

Shayman

2014

2014 IEEE Military Communications Conference

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We consider an LTE network where a secondary user acts as a relay, transmitting data to the primary user using a decode-and-forward mechanism, transparent to the base-station (eNodeB). Clearly, the relay can decode symbols more reliably if the employed precoder matrix indicators (PMIs) are known. However, for closed loop spatial multiplexing (CLSM) transmit mode, this information is not always embedded in the downlink signal, leading to a need for effective methods to determine the PMI. In this thesis, we consider 2x2 MIMO and 4x4 MIMO downlink channels corresponding to CLSM and formulate two techniques to estimate the PMI at the relay using a hypothesis testing framework. We evaluate their performance via simulations for various ITU channel models over a range of SNR and for different channel quality indicators (CQIs). We compare them to the case when the true PMI is known at the relay and show that the performance of the proposed schemes are within 2 dB at 10% block error rate (BLER) in almost all scenarios. Furthermore, the techniques add minimal computational overhead over existent receiver structure.Finally, we also identify scenarios when using the proposed precoder detection algorithms in conjunction with the cooperative decode-and-forward relaying mechanism benefits the PUE and improves the BLER performance for the PUE. Therefore, we conclude from this that the proposed algorithms as well as the cooperative relaying mechanism at the CMR can be gainfully employed in a variety of real-life scenarios in LTE networks.

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Section: Methodsmentioning

confidence: 99%

Precoder Detection for Cooperative Decode-and-Forward Relaying in OFDMA Systems

Valluri

Shayman

2014

2014 IEEE Military Communications Conference

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“…In fact, it is the theory of information that communication systems have evolved to their present form. MIMO systems are no exception to this rule since Telstar [6,7] has extended the work of Shannon to the case of multiple antennas and on OFDM case. As an application of the theory, we will consider first the channel capacity for the spatial multiplexing MIMO scheme followed by the channel capacity of the different diversity schemes.…”

Section: Channel Capacity Analysis For Lte Systemsmentioning

confidence: 99%

“…Several authors have considered the effect of increasing the density of base stations in the network, and improvements in the network capacity with increasing base station density have been revealed [7]. For a MIMO LTE system, a significant spectral efficiency improvement of 17% over SIMO LTE for static scenarios is achieved though slightly over 29% performance drop occurs when a mobility of 29 mph is introduced [9,10,11].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Channel Capacity and Throughput of LTE Downlink System

Poornima¹,

Laxminarayana²,

D³

2017

IJCNC

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“…It also introduces some overall performance of innovative technologies for optimizing the system, such as cell interference suppression technology. The summary will be introduced for the LTE system in several key technologies [5] . Orthogonal Frequency Division Multiplexing basic idea is that band is divided into a plurality of sub-parallel transmission of data, high-speed data stream into a plurality of parallel low-speed data stream, then modulated to each channel transmission subcarriers.…”

Section: The Lte Key Technologiesmentioning

confidence: 99%

Research on Pre-coding Technology Analysis of LTE Systems

Ren¹

2016

Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

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Abstract. As the demand for wireless communications become more sophisticated, the wireless communication system also received an unprecedented flourish. LTE as the evolution of 3G systems, which greatly enhance the spectrum utilization system, it is possible to obtain higher than traditional wireless communication system throughput. In order to fully utilize LTE technology brings the system upgrade pre-coding technology, at the transmitter to send data preprocessing information based on the channel, so as to simplify the complexity of the receiver or the purpose of improving system performance. In order to meet the needs of LTE systems in high-rate and high capacity aspects, LTE system supports multiple input and output technology downstream applications, including spatial multiplexing, beamforming and pre-coding technology. LTE system pre-coding technology will help to assess the performance of LTE systems, and promote its practical application. The pre-coding technology would facilitate a more standardized process, and enhance the right to speak in the international field of standardization. Theoretical Introduction of LTE TechnologyLTE (Long Term Evolution) project is an evolution of 3G, LTE is not widespread misunderstanding of 4G technology, but a transition between 3G and 4G technology, is the world standard of 3.9G, it improves and enhances the 3G air access technology, the use of orthogonal frequency division multiplexing technology as the sole criterion for its wireless network evolution. LTE system improves cell edge user performance, and can improve cell capacity and reducing system latency. In this scenario, the role of the pre-coding technique is more important.Compared with 3G, LTE has the following technical characteristics: improve communication speed downlink peak rate of 100Mbps, the behavior of 50Mbps. Improve spectral efficiency, downlink 5 (bit/s) / Hz, 3-4 times the R6 version; uplink 2.5 (bit/s) / Hz, 2-3 times the R6 version. In the packet domain services as the main target, the overall architecture of the system will be based on packet switching. Reduce wireless network delay: sub-frame length is set to 0.5ms and 0.675ms, and solve the problem of backwards compatibility and reduces network latency [1] . LTE system requirements can be achieved at a bandwidth of up to 20MHz 100Mbit /s downlink peak rate, so LTE wireless access technology with a new technology and MIMO OFDM technology. Because of its openness, it was supported by the vast majority of manufacturers to determine the LTE standard authoritative position in the industry. Some countries and regions have started commercial operation LTE systems attempt. In the actual system, due to the limited feedback channel capacity, using a codebook based pre-coding technology limited feedback. For a limited feedback precoding, the most important issue is the design of the code and the code word selection algorithm. The Basic Theory of Pre-CodingPre-coding technology is known channel state information (Channel States Information, CSI) in the ...

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Mutual information based calculation of the Precoding Matrix Indicator for 3GPP UMTS/LTE

Cited by 57 publications

References 4 publications

Precoder Detection for Cooperative Decode-and-Forward Relaying in OFDMA Systems

Precoder Detection for Cooperative Decode-and-Forward Relaying in OFDMA Systems

Performance Analysis of Channel Capacity and Throughput of LTE Downlink System

Research on Pre-coding Technology Analysis of LTE Systems

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