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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5. Performance Evaluation <strong>of</strong> Fractional Frequency Reuse in <strong>LTE</strong>ness loss), throughput <strong>and</strong> fairness performance has been evaluated over a range <strong>of</strong>number UEs/cell values. Small confidence intervals are ensured by averaging overenough independent different channel realization sets <strong>and</strong> UE positions such thateach plotted point is obtained from averaging at least 500 UE throughput points.The results, shown in Figure 5.15, depict on addition <strong>the</strong> MU-gain analysis resultsfrom Appendix D, so as to compare <strong>the</strong> FFR MU gain results to those <strong>of</strong> differentreuse-1 scheduling strategies. Results indicate that, in order for a static FFR schemesuch as <strong>the</strong> one assumed in this chapter to work, at least 5 UEs per cell are necessary.With less, throughput results do not converge to <strong>the</strong> FFR result. While for <strong>the</strong> roundrobin case, fairness can be consistently increased at no throughput cost, it is alsoclear that <strong>the</strong> same behavior does not hold for PFs. At <strong>the</strong> optimum trade-<strong>of</strong>f point,both cases do <strong>of</strong>fer similar results. While <strong>the</strong> achievable fairness is slightly lowerfor PF than round robin (<strong>the</strong> PF scheduling algorithm pushes aways from extremeresults), throughput is slightly better for PF, as demonstrated in Figure 5.13. BestCQI scheduler results are shown as comparison to <strong>the</strong> maximum achievable multiusergain, which <strong>of</strong> course comes also at <strong>the</strong> expense <strong>of</strong> fairness.Avg. cell throughput [Mbit/s]240220200180160140120100806040Throughput10.9Fairness <strong>of</strong> UE throughput0.80.70.60.50.40.30.20.105 10 15 20 25 30number <strong>of</strong> UEs/cellFairness5 10 15 20 25 30number <strong>of</strong> UEs/cellRound Robin Proportional fair Best CQIRR no cell thr. loss PF no cell thr. lossRR max. fairness PF max. fairnessFigure 5.15: Performance over number <strong>of</strong> UEs per cell for <strong>the</strong> following schedulers: roundrobin, proportional fair, best CQI, FFR-enabled round robin, <strong>and</strong> FFR-enabledproportional fair. The performance <strong>of</strong> <strong>the</strong> <strong>the</strong> FFR-enabled schedulers is evaluatedfor <strong>the</strong> FFR configurations were (i) <strong>the</strong> optimum trade-<strong>of</strong>f between fairness<strong>and</strong> mean throughput is achieved <strong>and</strong> (ii) for <strong>the</strong> case where no mean throughputloss occurs compared to <strong>the</strong> reuse-1 case. Left: cell throughput. Right: UEthroughput fairness. Vertical lines: 95 % confidence intervals.The conclusion <strong>of</strong> this chapter is that, taking into account that PF scheduling isanyway used, due to its increased throughput at <strong>the</strong> same fairness level compared toround robin scheduling, <strong>the</strong> usefulness <strong>of</strong> FFR is limited to allowing a flexible fairness79