{"id":155473,"date":"2008-01-01T00:00:00","date_gmt":"2008-01-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/complexity-in-wireless-scheduling-impacts-and-trade-offs\/"},"modified":"2018-10-16T19:59:17","modified_gmt":"2018-10-17T02:59:17","slug":"complexity-in-wireless-scheduling-impacts-and-trade-offs","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/complexity-in-wireless-scheduling-impacts-and-trade-offs\/","title":{"rendered":"Complexity in Wireless Scheduling: Impacts and Trade-offs"},"content":{"rendered":"<p>It has been an important research topic since 1992 to maximize stability region in constrained queueing systems, which includes the study of scheduling over wireless ad hoc networks. In this paper, we propose a framework to study a wide range of existing and future scheduling algorithms and characterize the achieved tradeo\ufb00s in stability, delay, and complexity. These characterizations reveal interesting properties hidden in the study of any one or two dimensions in isolation. For example, decreasing complexity from exponential to polynomial, while keeping stability region the same, generally comes at the expense of exponential growth of delays. Investigating trade-o\ufb00s in the 3-dimensional space allows a designer to \ufb01x one dimension and vary the other two jointly. For example, incentives for using scheduling algorithms with only partial throughput-guarantee can be quanti\ufb01ed with regards to delay and complexity. Tradeo\ufb00 analysis is then extended to systems with congestion control through utility maximization for non-stabilizable arrival inputs, where the complexity-utility-delay trade-o\ufb00 is shown to be di\ufb00erent from the complexity-stability-delay tradeo\ufb00. Finally, we analyze more practical models with bounded message size, and consider \u201ce\ufb00ective throughput\u201d which re\ufb02ects resource occupied by control messages. We show that e\ufb00ective throughput may degrade signi\ufb01cantly in certain scheduling algorithms, and suggest a mechanism to avoid this problem in light of the 3D tradeo\ufb00 framework.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>It has been an important research topic since 1992 to maximize stability region in constrained queueing systems, which includes the study of scheduling over wireless ad hoc networks. In this paper, we propose a framework to study a wide range of existing and future scheduling algorithms and characterize the achieved tradeo\ufb00s in stability, delay, and [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"ACM Mobihoc","msr_chapter":"","msr_edition":"ACM Mobihoc","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"ACM 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