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, semiRandom 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.