Abstract
One important issue that confronts network service providers is the need to provide reliable multimedia data service efficiently over cellular networks for a large number of subscribers under dynamic channel conditions. In long term evolution (LTE) networks, multimedia broadcast multicast service (MBMS) is a bandwidth efficient data service to simultaneously support multiple users at high bandwidth efficiency. In this paper, instead of considering spectrum resource allocation, we investigate MBMS provisioning for each mobile user based on the higher layer robust header compression (ROHC) consideration in response to user channel quality to reduce packet losses. We formulate a profit maximization problem for two different MBMS channel models and further propose a new MBMS assignment scheme for each user to be assigned a target MBMS with optimal ROHC parameters. We further develop a dynamic programming algorithm for user assignment and ROHC parameters optimization to achieve maximal profit with high spectrum resource utility. Our numerical results demonstrate substantial profit gain achieved by the proposed method in LTE systems.
Original language | English |
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Article number | 8122071 |
Pages (from-to) | 1161-1172 |
Number of pages | 12 |
Journal | IEEE Transactions on Wireless Communications |
Volume | 17 |
Issue number | 2 |
DOIs | |
Publication status | Published - Feb 2018 |
Externally published | Yes |
Keywords
- Multimedia broadcast multicast service
- dynamic programming
- hidden Markov model
- robust header compression