NDLI: Performance and optimization of dynamic-TDD intercell coordination with elastic traffic

Content Provider	Springer Nature Link
Author	Osti, Prajwal Aalto, Samuli Lassila, Pasi
Copyright Year	2016
Abstract	We study the intercell coordination problem between two interfering cells combined with dynamic TDD serving elastic data traffic. We model the system at the so-called flow level, where the number of flows varies dynamically and each flow has a random service requirement. Due to the interference between the stations the system is modeled as a set of four interacting processor sharing queues. Our objective is to consider, by using several approaches, the gains from dynamic policies that utilize instantaneous state information to minimize the total mean number of flows. Assuming that the capacity is shared dynamically according to the notion of balanced fairness yields a general policy that is also Pareto optimal, and we are able to explicitly analyze its performance. For exponential service times, we also apply the theory of Markov decision processes and the policy iteration algorithm to minimize the number of flows in the system. Finally, we define priority policies for certain special cases and show that they are even stochastically optimal. Our numerical results show that the gains from the dynamic policies compared with a statically optimized policy can be significant. Surprisingly, the gains can be achieved largely by our novel robust heuristic policy that only relies on instantaneous information about the number of flows.
Starting Page	655
Ending Page	679
Page Count	25
File Format	PDF
ISSN	10184864
Journal	Telecommunication Systems
Volume Number	63
Issue Number	4
e-ISSN	15729451
Language	English
Publisher	Springer US
Publisher Date	2016-02-16
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dynamic TDD Intercell coordination Elastic traffic Interacting PS queues Stochastic optimality Balanced fairness Markov decision processes IT in Business Computer Communication Networks Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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