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Abstract
We consider a hybrid delivery scheme for streaming content, combining cache-enabled Orthogonal Multipoint Multicast (OMPMC) and on-demand Single-Point Unicast (SPUC) transmissions for heterogeneous networks. The OMPMC service transmits cached files through the whole network to interested users, and users not being satisfied by this service are assigned to the SPUC service to be individually served. The SPUC fetches the requested files from the core network and unicasts them to UEs using cellular beamforming transmissions. We optimize the delivery scheme to minimize the average resource consumption in the network. We formulate a constrained optimization problem over the cache placement and resource allocation of the OMPMC component, as well as the multi-user beamforming scheme of the SPUC component. We apply a path-following method to find the optimal traffic offloading solution. The solutions portray a contrast between the total amount of consumed resources and service outage probability. Simulation results show that the hybrid scheme provides a better tradeoff between the amount of network-wide consumed resources and the service outage probability, as compared to schemes from the literature.
| Original language | English |
|---|---|
| Title of host publication | GLOBECOM 2022 - 2022 IEEE Global Communications Conference |
| Publisher | IEEE |
| Pages | 1936-1941 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-6654-3540-6 |
| DOIs | |
| Publication status | Published - 2022 |
| MoE publication type | A4 Conference publication |
| Event | IEEE Global Communications Conference - Rio de Janeiro, Brazil Duration: 4 Dec 2022 → 8 Dec 2022 |
Conference
| Conference | IEEE Global Communications Conference |
|---|---|
| Abbreviated title | GLOBECOM |
| Country/Territory | Brazil |
| City | Rio de Janeiro |
| Period | 04/12/2022 → 08/12/2022 |
Keywords
- Unicast
- Array signal processing
- Spectral efficiency
- Simulation
- Wireless networks
- Tail
- Probability
- Hybrid content delivery
- wireless caching
- multipoint multicasting
- single-point unicasting
- resource consumption
- zero-forcing beamforming
- parametric optimization
Fingerprint
Dive into the research topics of 'Optimal Bandwidth Allocation for Multicast-Cache-Aided on-Demand Streaming in Wireless Networks'. Together they form a unique fingerprint.Projects
- 1 Finished
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Coded Collaborative Caching for Wireless Energy Efficiency
Tirkkonen, O. (Principal investigator), Amidzade, M. (Project Member), Liao, J. (Project Member), Pääkkönen, J. (Project Member) & Al-Tous, H. (Project Member)
01/09/2018 → 31/08/2022
Project: Academy of Finland: Other research funding
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