Abstract-Heterogeneous networks are a key solution to serving the exponential surge in data volume and higher quality expectations. Nonetheless, such networks require the ubiquitous presence of fiberto-the-cell to address the performance demands of 5G and fastspreading small cells. To this end, innovative ways of optimizing the usage of realistic backhaul links are being investigated. In this work, we propose a fuzzy Q-learning-based user-centric backhaul-aware user cell association scheme. The proposed scheme aims at optimizing the user-cell association process in a context-aware and backhaul-aware manner. Complementing the scheme with fuzzy-logic requires 33.3% additional storage memory. On the other hand, it increases the computational efficiency by 60% and improves the users' performance by 12%.
Pervez et al. REF designed a fuzzy Q-learning-based user-centric backhaul-aware cell association scheme.
Fuzzy Q-learning-based user-centric backhaul-aware user cell association scheme
2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
Computer Science