Dynamic e-ICIC using Moving Average Crossover

Abstract

Heterogeneous Networks (HetNets) are considered a technology option capable of improving system capacity and spatial spectrum reuse. However, high spectrum reuse causes high inter-cell interference among macro and small cells. Almost Blank Subframe (ABS) is a method of the Enhanced Inter-Cell Interference Coordination (e-ICIC) framework proposed for LTE systems as a means to mitigate interference among macro and small cells, which mutes some of macro cell transmissions in selected subframes to reduce interference to small cells, orthogonalizing macro and small cell transmissions in time-domain. In this work, we use Moving Average Crossover (MAC) based on trading know-how to propose a new dynamic ABS e-ICIC algorithm. Using system-level simulations, we attest that the proposed algorithm outperforms the best fixed e-ICIC by 6.4% in terms of capacity.

eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

“…In [16], the operation of eICIC in a realistic deployment is proposed based on site-specific data from a dense urbanized European capital. In [17], the authors use moving average crossover (MAC) based on trading know-how to propose a new dynamic ABS eICIC algorithm, and through use of system-level simulations, attest that the proposed algorithm outperforms the best placed eICIC. Finally, the study in [18], which shows that dynamic ICIC can provide useful and stable performance gains in both homogeneous and heterogeneous networks.…”

MACD e-ICIC: a dynamic LTE interference coordination method based on trend and trading know-how

“…Considering the application of finance models to e-ICIC, our previous work [26] provides a solution to automatically define the ABS ratio based on Moving Average Crossover (MAC). The proposed algorithm outperforms the best fixed e-ICIC by 6.4% in terms of capacity, although its impracticable parameters' settings.…”

“…If false, ECO will check the necessity of increase or decrease the ABS ratio through an inequality, which is formulated from the dif-ference between theoretical data rate supported by each small cell with and without ABS, and traffic supported by the macro cell; 5. Heterogeneous with MAC ABS e-ICIC: our previous solution presented in [26]); and 6. Heterogeneous with MACD e-ICIC: our proposed solution in this paper.…”