System Level Modeling and Optimization of the LTE Downlink
System Level Modeling and Optimization of the LTE Downlink
System Level Modeling and Optimization of the LTE Downlink
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3. Physical Layer <strong>Modeling</strong> <strong>and</strong> <strong>LTE</strong> <strong>System</strong> <strong>Level</strong> Simulationmodel combines <strong>the</strong> output <strong>of</strong> <strong>the</strong> link quality model with that <strong>of</strong> <strong>the</strong> applied modulationorder <strong>and</strong> code rate <strong>and</strong> predicts <strong>the</strong> BLER <strong>of</strong> <strong>the</strong> received TB. Ultimately,given this frame error probability, <strong>the</strong> successful or erroneous receiving <strong>of</strong> <strong>the</strong> TB isr<strong>and</strong>omly decided via a coin toss corresponding to <strong>the</strong> BLER probability. Combinedwith <strong>the</strong> TB size throughput is <strong>the</strong>n determined, as depicted in Figure 3.11.throughputlink quality model......link performance modelBLERsubcarrier SINR vectormodulation & code rateallocated RBsTB sizeFigure 3.11: Link performance model. The output <strong>of</strong> <strong>the</strong> link quality model is combined withinformation regarding <strong>the</strong> allocated RBs, <strong>and</strong> <strong>the</strong> employed modulation/coderate.The SINR-to-BLER mapping comprises an (n + 1)-dimensional mapping <strong>of</strong> n postequalizationsubcarrier SINRs values (γ 1 , . . . , γ n ) <strong>and</strong> <strong>the</strong> modulation <strong>and</strong> codingemployed to a single BLER value.While <strong>the</strong>oretically possible, it is in practice unfeasibly complex to obtain a mappingtable <strong>of</strong> <strong>the</strong> possible combinations <strong>of</strong> <strong>the</strong> n SINR values to a BLER value for eachMCS. Additionally, <strong>the</strong> length <strong>of</strong> γ varies depending on <strong>the</strong> number <strong>of</strong> RBs scheduledto <strong>the</strong> UE, with a maximum value restricted by <strong>the</strong> <strong>LTE</strong> channel b<strong>and</strong>width (seeTable 3.1).Over time, several methods to first map <strong>the</strong> sub-carrier post-equalization SINRvector, denoted as γ to an effective SINR value (γ eff ) have been proposed [88–91].While different names, such as Actual Value Interface (AVI) <strong>and</strong> Effective SINRMapping (ESM) exist, both relate to <strong>the</strong> same concept <strong>of</strong> mapping γ to an effectiveSINR value γ eff .In order to compress <strong>the</strong> SINR vector γ into a single value γ eff , Mutual InformationEffective SINR Mapping (MIESM) [90, 91] is employed, as it does not require an empiricalcalibration step such as previous methods as long as codes that perform closeto capacity are employed. The non-linear ESM averaging <strong>of</strong> MIESM is expressed asγ eff = I −1k(1N)N∑I k (γ n ) , (3.21)where N is <strong>the</strong> length <strong>of</strong> <strong>the</strong> SINR vector <strong>and</strong> I k <strong>the</strong> BICM capacity for <strong>the</strong> chosenmodulation at <strong>the</strong> given value γ n . The BICM capacity (I k ) for a modulationn=139