Optimal Downlink and Uplink Fractional Frequency Reuse in Cellular Wireless Networks

Densely deployed cellular wireless networks, which employ small cell technology, are being widely implemented. Mitigating the impact of inter- and intracell signal interferences induced by the operations of these networks is a challenging yet essential task. In this paper, the authors consider adaptive rate scheduling for a transmitting node, regardless of whether it is a base station (BS) or a mobile user. The authors aim to maximize the system's throughput through the employment of fractional frequency reuse (FFR) schemes. Each BS employs either an omnidirectional or a directional antenna system. The authors derive the optimal configuration of the FFR scheme and evaluate the ensuing system's performance behavior under absolute and proportional fairness requirements. To maximize the attained throughput by mobiles, the authors determine the best method to use to classify cell users into interior and edge mobiles. The bandwidth levels allocated for serving interior and edge mobiles are optimized. The authors derive approximate closed-form mathematical expressions for calculating the probability distributions of the interference signal levels measured at the destined receivers. The authors account for the impact of the classification process on intercell interference power levels. Under an absolute fairness requirement, the authors show that optimally configured FFR schemes lead to much enhanced performance. The authors show that the optimally configured directional-FFR schemes increase the throughput capacity by a factor of about 60% relative to that obtained by using optimal omnidirectional-FFR schemes. The analyses and simulation results presented in this paper serve to characterize the performance behavior attainable by using such small cell deployed cellular wireless network systems when employing the underlying configurations.


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  • Accession Number: 01598132
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 19 2016 3:58PM