2019/03/20 by Dariush Fooladivanda, Fooladivanda, Dariush, Catherine Rosenberg +1
Business, Management and Accounting · Engineering · #Advanced MIMO Systems Optimization #Advanced Queuing Theory Analysis #Advanced Wireless Network Optimization #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI)
paper · pdf · doi:10.48550/arxiv.1903.08608
openalex publication_date 2019/03/20 · openalex created_date 2022/07/24 · openalex updated_date 2026/07/28
The performance of different combinations of user association (UA) and\nresource allocation (RA) in heterogeneous cellular networks has been\nextensively studied using a classic modeling approach based on system\nsnapshots. There have been also many studies focusing on the dynamics of the\nsystem using queueing models. These modeling approaches are rarely compared\nwith each other though they each bring different insights to the design\nproblem. In this paper, we consider a queueing model-based approach to study\nthe interplay of UA and RA, and compare the results to those obtained using\nsnapshot models. Specifically, we formulate three different joint UA and RA\noptimization problems corresponding to the following three performance metrics:\nthe maximum achievable arrival rate, the average system delay, and the maximum\nper-user delay. These problems are non-convex integer programs. We have\ntherefore developed numerical techniques to compute either their exact\nsolutions or tight lower bounds. We obtain results for different combinations\nof RA and UA schemes, and compare the trends with those obtained via the\nsnapshot approach. The trends on RA are very similar, which we take as a\ncross-validation of the two modeling approaches for this kind of problem. The\ntrends on user association are somewhat different which indicates a lack of\nrobustness of the results and the need for a careful validation of UA models.\n