Optimal Buffer Resource Allocation in Wireless Caching Networks
Liu, T., Chang, Z., Li, J., Shu, F., Ristaniemi, T., & Han, Z. (2019). Optimal Buffer Resource Allocation in Wireless Caching Networks. In SPAWC 2019 : IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications. IEEE. IEEE International Workshop on Signal Processing Advances in Wireless Communications. https://doi.org/10.1109/SPAWC.2019.8815539
Li, Jun |
© 2019, IEEE
Wireless caching systems have been exhaustively investigated in recent years. Due to limited buffer capacity, and unbalanced arrival and service rates, the backlogs may exist in the caching node and even cause buffer overflow. In this paper, we first investigate the relationship among backlogs, buffer capacity, data arrival rate and service rate, utilizing the martingale theory which is flexible in handling any arrival and service processes. Then given a target buffer overflow probability, the minimal required buffer portion is determined. If the devoted buffer capacity can fulfill all serving users' minimal buffer requirements, an optimization problem is constructed with the objective to minimize the overall buffer overflow probability. The optimization solution is obtained by a modified waterfilling scheme. Finally, the numerical results are illustrated to demonstrate the superiority of the proposed scheme.
Parent publication ISBN978-1-5386-6528-2
ConferenceInternational Workshop on Signal Processing Advances in Wireless Communications
Is part of publicationSPAWC 2019 : IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications
ISSN Search the Publication Forum2325-3789
Publication in research information system
MetadataShow full item record
Additional information about fundingThis work is supported in part by the national natural science foundation of China under grant No. 61702258, 61771244, 61872184, in part by natural science foundation of Hebei Province of China, in part by US MURI, US NSF CNS-1717454, CNS-1731424, CNS-1702850, CNS-1646607.
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