RB allocation based on genetic algorithm in cloud radio access networks

This work proposes a method to optimize the resource block allocation in the cloud radio access network for a long term evolution system. This approach consists in three steps. First, the baseband unit collects the required information about users. Then, it optimizes the resource block allocation by carrying out a genetic algorithm. After that, it sends the solution to the remote heads. The simulations results show that the performance of the proposed system is significantly higher with respect to universal frequency reuse.

[1]  Asoke K. Nandi,et al.  Dynamic subcarrier allocation for single carrier - FDMA systems , 2008, 2008 16th European Signal Processing Conference.

[2]  Yonggang Wen,et al.  Cloud radio access network (C-RAN): a primer , 2015, IEEE Network.

[3]  Erik Dahlman,et al.  3G Evolution: HSPA and LTE for Mobile Broadband , 2007 .

[4]  Seong-Jun Oh,et al.  Distributed SC-FDMA Resource Allocation Algorithm Based on the Hungarian Method , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[5]  Yong-Hwan Lee,et al.  Transmit power and bit allocations for OFDM systems in a fading channel , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[6]  Tong Zhang,et al.  Joint Multi-Cell Resource Allocation Using Pure Binary-Integer Programming for LTE Uplink , 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

[7]  Mohamed Siala,et al.  Dynamic fractional power control for LTE uplink , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[8]  Mazen O. Hasna,et al.  Centralized-decentralized RB allocation based on genetic algorithm and coordination over X2 interface in LTE uplink , 2015, 2015 International Symposium on Wireless Communication Systems (ISWCS).