TY - GEN
T1 - Multi-channel assignment and link scheduling for prioritized latency-sensitive applications
AU - Tsai, Shih Yu
AU - Yang, Hao Tsung
AU - Liu, Kin Sum
AU - Lin, Shan
AU - Chowdhury, Rezaul
AU - Gao, Jie
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - Current wireless networks mainly focus on delay-tolerant applications while demands for latency-sensitive applications are rising with VR/AR technologies and machine-to-machine IoT applications. In this paper we consider multi-channel, multi-radio scheduling at the MAC layer to optimize for the performance of prioritized, delay-sensitive demands. Our objective is to design an interference-free schedule that minimizes the maximum weighted refresh time among all edges, where the refresh time of an edge is the maximum number of time slots between two successive slots of that edge and the weights reflect given priorities. In the single-antenna unweighted case with k channels and n transceivers, the scheduling problem reduces to the classical edge coloring problem when (Formula Presented) and to strong edge coloring when k = 1, but it is neither edge coloring nor strong edge coloring for general k. Further, the priority requirement introduces extra challenges. In this paper we provide a randomized algorithm with an approximation factor of (Formula Presented) in expectation, where Δp denotes the maximum degree of the unweighted multi-graph, which is formed by duplicating each edge ei for wi times (wi is ei’s integral priority value), and m is the number of required link communications (Formula Presented) means that (Formula Presented) for some positive constant k. The results are generalized to the multi-antenna settings. We evaluate the performance of our methods in different settings using simulations).
AB - Current wireless networks mainly focus on delay-tolerant applications while demands for latency-sensitive applications are rising with VR/AR technologies and machine-to-machine IoT applications. In this paper we consider multi-channel, multi-radio scheduling at the MAC layer to optimize for the performance of prioritized, delay-sensitive demands. Our objective is to design an interference-free schedule that minimizes the maximum weighted refresh time among all edges, where the refresh time of an edge is the maximum number of time slots between two successive slots of that edge and the weights reflect given priorities. In the single-antenna unweighted case with k channels and n transceivers, the scheduling problem reduces to the classical edge coloring problem when (Formula Presented) and to strong edge coloring when k = 1, but it is neither edge coloring nor strong edge coloring for general k. Further, the priority requirement introduces extra challenges. In this paper we provide a randomized algorithm with an approximation factor of (Formula Presented) in expectation, where Δp denotes the maximum degree of the unweighted multi-graph, which is formed by duplicating each edge ei for wi times (wi is ei’s integral priority value), and m is the number of required link communications (Formula Presented) means that (Formula Presented) for some positive constant k. The results are generalized to the multi-antenna settings. We evaluate the performance of our methods in different settings using simulations).
KW - Fairness
KW - Latency sensitive scheduling
KW - Multi-channel scheduling
UR - http://www.scopus.com/inward/record.url?scp=85076676450&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-34405-4_8
DO - 10.1007/978-3-030-34405-4_8
M3 - Conference contribution
AN - SCOPUS:85076676450
SN - 9783030344047
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 137
EP - 157
BT - Algorithms for Sensor Systems - 15th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2019, Revised Selected Papers
A2 - Dressler, Falko
A2 - Scheideler, Christian
PB - Springer
T2 - 15th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2019
Y2 - 12 September 2019 through 13 September 2019
ER -