Resource Exploitation in Multi-Carrier Multi-Cellular Networks

The purpose of this paper is to examine the algorithmic quality of a semi-Random subcarrier allocation strategy and a Block Anti-Jamming Subcarrier Scavenging ( BAJSS) strategy in terms of mean capacity, mean Bit Error Rate ( BER), complexity as well as Jain's fairness index ( power, capacity). These strategies are implemented in a LTE OFDMA multicellular network platform, which executes a fixed, sufficient for convergence, Monte Carlo ( MC) runs. Both strategies are based on anti-jamming criteria so as to further mitigate Intra-Channel Interference ( ICI). According to the results, semi-Random outperforms BAJSS and the traditional random strategy in terms of mean capacity, mean BER and power dissipation at the cost however of increased computational complexity.