TY - GEN
T1 - An SMDP approach to optimal PHY configuration in wireless networks
AU - Shifrin, Mark
AU - Menasche, Daniel S.
AU - Cohen, Asaf
AU - Gurewitz, Omer
AU - Goeckel, Dennis
N1 - Publisher Copyright: © 2017 IFIP.
PY - 2017/3/28
Y1 - 2017/3/28
N2 - In this work, we study the optimal configuration of the physical layer in wireless networks by means of Semi-Markov Decision Process (SMDP) modeling. In particular, assume the physical layer is characterized by a set of potential operating points, with each point corresponding to a rate and reliability pair; for example, these pairs might be obtained through a now-standard diversity-vs-multiplexing tradeoff characterization. Given the current network state (e.g., buffer occupancies), a Decision Maker (DM) needs to dynamically decide which operating point to use. The SMDP problem formulation allows us to choose from these pairs an optimal selection, which is expressed by a decision rule as a function of the number of awaiting packets in the source's finite queue, channel state, size of the packet to be transmitted. We derive a general solution which covers various model configurations, including packet size distributions and varying channels. For the specific case of exponential transmission time, we analytically prove the optimal policy has a threshold structure. Numerical results validate this finding, as well as depict muti-threshold policies for time varying channels such as the Gilber-Elliot channel.
AB - In this work, we study the optimal configuration of the physical layer in wireless networks by means of Semi-Markov Decision Process (SMDP) modeling. In particular, assume the physical layer is characterized by a set of potential operating points, with each point corresponding to a rate and reliability pair; for example, these pairs might be obtained through a now-standard diversity-vs-multiplexing tradeoff characterization. Given the current network state (e.g., buffer occupancies), a Decision Maker (DM) needs to dynamically decide which operating point to use. The SMDP problem formulation allows us to choose from these pairs an optimal selection, which is expressed by a decision rule as a function of the number of awaiting packets in the source's finite queue, channel state, size of the packet to be transmitted. We derive a general solution which covers various model configurations, including packet size distributions and varying channels. For the specific case of exponential transmission time, we analytically prove the optimal policy has a threshold structure. Numerical results validate this finding, as well as depict muti-threshold policies for time varying channels such as the Gilber-Elliot channel.
UR - http://www.scopus.com/inward/record.url?scp=85018162637&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/WONS.2017.7888760
DO - https://doi.org/10.1109/WONS.2017.7888760
M3 - منشور من مؤتمر
T3 - 2017 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017 - Proceedings
SP - 128
EP - 135
BT - 2017 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017 - Proceedings
A2 - Melodia, Tommaso
A2 - Wehrle, Klaus
A2 - Lestas, Marios
A2 - Psounis, Konstantinos
T2 - 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017
Y2 - 21 February 2017 through 24 February 2017
ER -