Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2017.1337394
Self-organizing inter-cell interference coordination in 4G and beyond networks using genetic algorithms
Aasia Kashaf
; Department of Electrical Engineering, COMSATS Institute of Information Technology, Islamabad, Pakistan
Moazzam Islam Tiwana
; Department of Electrical Engineering, COMSATS Institute of Information Technology, Islamabad, Pakistan
Imran Usman
; College of Computing and Informatics, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia
Mohsin Islam Tiwana
; Department of Mechatronics Engineering, National University of Sciences and Technology, H-12, Islamabad, Pakistan
Sažetak
The design objective of the 4G and beyond networks is not only to provide high data rate services but also ensure a good subscriber experience in terms of quality of service. However, the main challenge to this objective is the growing size and heterogeneity of these networks. This paper proposes a genetic-algorithm-based approach for the self-optimization of interference mitigation parameters for downlink inter-cell interference coordination parameter in Long Term Evolution (LTE) networks. The proposed algorithm is generic in nature and operates in an environment with the variations in traffic, user positions and propagation conditions. A comprehensive analysis of the obtained simulation results is presented, which shows that the proposed approach can significantly improve the network coverage in terms of call accept rate as well as capacity in terms of throughput.
Ključne riječi
Long-term evolution; radio resource management; intercell interference coordination; genetic algorithm; self-organizing networks; self-optimization
Hrčak ID:
203334
URI
Datum izdavanja:
19.9.2017.
Posjeta: 829 *