2015/08/22 by Sarabjot Singh, Mikhail Geraseminko, Singh, Sarabjot +7
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #Networking and Internet Architecture (cs.NI) #Wireless Networks and Protocols
paper · pdf · doi:10.48550/arxiv.1508.05542
openalex publication_date 2015/08/22 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
Traffic load balancing and resource allocation is set to play a crucial role\nin leveraging the dense and increasingly heterogeneous deployment of\nmulti-radio wireless networks. Traffic aggregation across different access\npoints (APs)/radio access technologies (RATs) has become an important feature\nof recently introduced cellular standards on LTE dual connectivity and LTE-WLAN\naggregation (LWA). Low complexity traffic splitting solutions for scenarios\nwhere the APs are not necessarily collocated are of great interest for\noperators. In this paper, we consider a scenario, where traffic for each user\nmay be split across macrocell and an LTE or WiFi small cells connected by\nnon-ideal backhaul links, and develop a closed form solution for optimal\naggregation accounting for the backhaul delay. The optimal solution lends\nitself to a "water-filling" based interpretation, where the fraction of user's\ntraffic sent over macrocell is proportional to ratio of user's peak capacity on\nthat macrocell and its throughput on the small cell. Using comprehensive system\nlevel simulations, the developed optimal solution is shown to provide\nsubstantial edge and median throughput gain over algorithms representative of\ncurrent 3GPP-WLAN interworking solutions. The achievable performance benefits\nhold promise for operators expecting to introduce aggregation solutions with\ntheir existing WLAN deployments.\n