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>Figure 5.2 shows example results for <strong>the</strong> FFR configuration employing β FR = 0.75<strong>and</strong> Γ thr = 3.20 dB FFR configuration. As presented in [133], this configuration wasfound to maximize capacity density <strong>and</strong> resulted in an improvement compared to<strong>the</strong> reuse-1 case <strong>of</strong>: 8.68 % in terms <strong>of</strong> average performance, 61.81 % in edge capacitydensity, <strong>and</strong> 5.21 % in peak capacity density. As <strong>the</strong> focus <strong>of</strong> this <strong>the</strong>sis is on L2Smodeling, <strong>the</strong> details on <strong>the</strong> previous work regarding <strong>the</strong> optimization <strong>of</strong> capacitydensity have been excluded from this chapter. However, <strong>the</strong> obtained results, whichemploy a β FR -dependent SINR threshold, are shown in Figure 5.3.capacity density gain over reuse−1 [%]120100806040200−20reuse-1 referencemaximum :+61.85%+8.68%+5.21%−400 0.2 0.4 0.6 0.8 1(edge)(peak)Figure 5.3: FFR mean, edge, <strong>and</strong> peak capacity density gains relative to reuse-1 [133].As seen in Figure 5.3, FFR can potentially be employed to simultaneously boostmean, edge, <strong>and</strong> peak throughput. However, results were based on capacity calculations,<strong>and</strong> not actual throughput. Fur<strong>the</strong>rmore, a homogeneous distribution <strong>of</strong>PHY resources was assumed, which may not be <strong>the</strong> case in a more realistic network,where typically proportional fair scheduling would be employed. In <strong>the</strong> remaining<strong>of</strong> this chapter, <strong>LTE</strong> FFR performance is analyzed in terms <strong>of</strong> throughput by means<strong>of</strong> <strong>LTE</strong> system level simulations, concluding that when combined with scheduling,FFR provides no tangible additional gains in terms <strong>of</strong> optimum performance.5.3. <strong>System</strong> ModelPerformance has been evaluated for a 4 × 4 MIMO antenna configuration employingCLSM. In order to be able to evaluate <strong>the</strong> complete space <strong>of</strong> FFR configurations,an exhaustive search over all possible FFR configurations has been performed. Theconfiguration parameters taken into consideration are as follows:ˆ B<strong>and</strong>width partitioning β FR : values from reuse-1 (β FR = 1) to practically reuse-3 (β FR = 0.01). As <strong>the</strong> frequency partitioning in <strong>LTE</strong> is based on RBs, <strong>the</strong>β FR frequency allocation is constrained to allocate an integer <strong>and</strong> zero-modulo-68