Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Communication_and_network_technology_has_witnessed_recent_rapid_development_and_numerous_information_services_and_applications_have_been_developed_globally_These_technologies_have_high_impact_on_society_and_the_way_people_are_leading_their_lives_The_advancement_in_technology_has_undoubtedly_improved_the_quality_of_service_and_user_experience_yet_a_lot_needs_to_be_still_done_Some_areas_that_still_need_improvement_include_seamless_wide-area_coverage,_high-capacity_hot-spots,_low-power_massive-connections,_low-latency_and_high-reliability_and_so_on_Thus,_it_is_highly_desirable_to_develop_smart_technologies_for_communication_to_improve_the_overall_services_and_management_of_wireless_communication_Machine_learning_and_cognitive_computing_have_converged_to_give_some_groundbreaking_solutions_for_smart_machines_With_these_two_technologies_coming_together,_the_machines_can_acquire_the_ability_to_reason_similar_to_the_human_brain_The_research_area_of_machine_learning_and_cognitive_computing_cover_many_fields_like_psychology,_biology,_signal_processing,_physics,_information_theory,_mathematics,_and_statistics_that_can_be_used_effectively_for_topology_management_Therefore,_the_utilization_of_machine_learning_techniques_like_data_analytics_and_cognitive_power_will_lead_to_better_performance_of_communication_and_wireless_systems