Analysis and Design of Best-Effort Broadcasting Services in Cellular Networks
- Authors
- Park, Eun-Chan; Kim, Minho; Park, Kyung-Joon
- Issue Date
- Oct-2013
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Broadcasting service; capacity; cellular networks; reliability
- Citation
- IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.62, no.8, pp 3953 - 3963
- Pages
- 11
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Volume
- 62
- Number
- 8
- Start Page
- 3953
- End Page
- 3963
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/25054
- DOI
- 10.1109/TVT.2013.2259272
- ISSN
- 0018-9545
1939-9359
- Abstract
- In this paper, we propose a novel best-effort broadcasting service (BEBS) scheme in cellular networks, which can be used for location-based advertising and real-time multimedia broadcasting. Unlike the conventional broadcasting service that aims to assure reliable data delivery to every user, the main objective of the proposed BEBS is to maximize the effective capacity at the cost of reliability. To this end, we introduce the notion of target reliability and formulate the problem of maximizing the capacity of BEBS under any given reliability constraint. By deriving an analytical model, we investigate the effect of target reliability on the achievable capacity. We further prove several key properties of BEBS with respect to the optimal value of target reliability and the maximum gain of the achievable capacity. To realize the maximum achievable capacity of BEBS, we propose two feedback control schemes that adjust the target reliability or modulation and coding scheme based on the estimate of relative gain of BEBS. We validate our analytical model by comparison with simulation. In addition, the simulation results confirm that the proposed schemes for BEBS significantly outperform conventional reliable broadcasting under various network configurations.
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Collections - College of Engineering > Department of Information and Communication Engineering > 1. Journal Articles

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