Baseline E-UTRA Downlink Spectral Efficiency Evaluation

Pokhariyal, A.; Rom, Christian; Priyanto, Basuki Endah; Frederiksen, Frank; Rosa, Claudio; Sørensen, Troels B.; Kolding, Troels; Mogensen, Preben

doi:10.1109/vtcf.2006.441

Cited by 20 publications

(11 citation statements)

References 8 publications

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“…This approach relies on abstraction of the link-level processing in the form of pre-generated SINR traces obtained from a link level simulation tool, while the system-level related processing is implemented in a network overlay. The link level simulator used in this study is described in [30].…”

Section: B Simulation Methodology and Assumptions 1) Decoupled Link mentioning

confidence: 99%

Performance of Spatial Division Multiplexing MIMO with Frequency Domain Packet Scheduling: From Theory to Practice

Pokhariyal

Sørensen

Kolding

et al. 2008

IEEE J. Select. Areas Commun.

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This paper addresses the performance of Spatial Division Multiplexing (SDM) Multiple-input Multiple-output (MIMO) techniques together with Frequency Domain Packet Scheduling (FDPS) in both theory and practice. We start with a theoretical analysis under some ideal assumptions to derive the performance bounds of SDM-FDPS. To facilitate the analysis, a unified SINR concept is utilized to make a fair comparison of MIMO schemes with different number of spatial streams. The effect of packet scheduling is included in the post-scheduling SINR distribution using an analytical model. Based on that, the performance bounds are obtained with a more realistic SINR to throughput mapping metric. The system-level performance of SDM-FDPS has been evaluated under practical constraints using detailed simulations based on the UTRAN Long Term Evolution (LTE) downlink cellular system framework. The purpose is to investigate the impact of realistic factors on performance. Results confirm that the combination of SDM and FDPS can increase the spectral efficiency significantly, particularly in a micro-cell scenario, and up to 30%-60% gain is observed over 1x2 with FDPS depending on the traffic models considered. Finally, the more practical simulation results are compared against the theoretical performance bounds. A performance loss is seen in the simulations due to realistic coding/modulation, impact of frequency selectivity, signalling constraints, imperfect channel quality indicator (CQI), etc.

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Section: B Simulation Methodology and Assumptions 1) Decoupled Link mentioning

confidence: 99%

Performance of Spatial Division Multiplexing MIMO with Frequency Domain Packet Scheduling: From Theory to Practice

Pokhariyal

Sørensen

Kolding

et al. 2008

IEEE J. Select. Areas Commun.

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“…It is worth mentioning that an acceptable CQI granularity of 1 dB with marginal coding of around ε = 25 dB has been assumed in [43]. Consequently, for equidistance quantization step size, the number of CQI bits B CQI can be approximately calculated as [44] …”

Section: The Proposed Adaptive Threshold Cqi Feedback Compression Schemementioning

confidence: 99%

An Adaptive Threshold Feedback Compression Scheme Based on Channel Quality Indicator (CQI) in Long Term Evolution (LTE) System

Abdulhasan

Salman

et al. 2015

Wireless Pers Commun

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Channel quality indicator (CQI) feedback in long-term evolution (LTE) system is an essential technique in describing the instantaneous channel state information. The CQI calculations highly depend on the accuracy of the channel estimation process in order to assign appropriate modulation and coding scheme. However, one of the critical issues affecting the LTE system performance is obtaining the CQI for each transmission period which will inevitably cost many resources. Therefore, an appropriate method for reducing CQI feedback overhead along with accurate channel estimation technique is required to manage the allocated resources and obtains significant improvements in system performance. In this paper, an adaptive threshold feedback compression scheme based on CQI scheme is proposed to obtain better system performance in terms of system throughput and error rate in LTE system. This proposed adaptive scheme dynamically adapts its threshold level to the signal to noise ratio variations, thus increasing the throughput and reducing the CQI feedback overhead. Results show that the proposed CQI based adaptive threshold feedback compression scheme enhances the tradeoff between system throughput and block error rate.

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“…A single input multiple output (SIMO) configuration with two receiving antennas is considered, and it is modeled with ideal maximal ratio combining (MRC) at the receiver. The simulator provides a geometry factor (G-Factor) distribution that accurately fits the results for macro-cell outdoor scenario presented in [39]. The link-to-system level mapping is based on the exponential effective SIR metric (EESM) model [40].…”

Section: System Modelmentioning

confidence: 99%

QoE oriented cross-layer design of a resource allocation algorithm in beyond 3G systems

Ameigeiras

Ramos-Muñoz

Navarro-Ortiz

et al. 2010

Computer Communications

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Baseline E-UTRA Downlink Spectral Efficiency Evaluation

Cited by 20 publications

References 8 publications

Performance of Spatial Division Multiplexing MIMO with Frequency Domain Packet Scheduling: From Theory to Practice

Performance of Spatial Division Multiplexing MIMO with Frequency Domain Packet Scheduling: From Theory to Practice

An Adaptive Threshold Feedback Compression Scheme Based on Channel Quality Indicator (CQI) in Long Term Evolution (LTE) System

QoE oriented cross-layer design of a resource allocation algorithm in beyond 3G systems

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