Efficient and reliable slice allocation for multi-services in DVB-T2 systems
Efficient and reliable slice allocation for multi-services in DVB-T2 systems
Digital television terrestrial broadcasting (DTTB) networks can help to alleviate the congestion problem in cellular networks by delivering rich contents to a large number of clients simultaneously. In particular, recently, there is a strong interest of extending current DTTB systems to support multimedia broadcasting services. The lack of return channel and long transmission time interval however impose great challenge to the resource allocation for this application in DTTB networks. The reliable resource allocation is studied for multi-services with data delivery delay constraints in the second generation digital video broadcasting terrestrial (DVB-T2) system. To solve this challenging problem, the data cells of a T2-frame are divided into data slices which are indexed by binary numbers. These data slices are organised in a binary tree, and each node in the tree is associated with a certain number of non-adjacent data slices. Then a node can be allocated to a service by using the predefined policies. Based on this scheme, this study proposes a heuristic algorithm to allocate resources to multi-services. Simulation results validate the effectiveness of the proposed algorithm and demonstrate its advantage over the current resource allocation scheme in DVB-T2 networks.
837-845
Wang, Fang
ea789802-9df5-40df-84c6-6797c89f1b4a
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
20 April 2017
Wang, Fang
ea789802-9df5-40df-84c6-6797c89f1b4a
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Wang, Fang, Wang, Zhaocheng and Chen, Sheng
(2017)
Efficient and reliable slice allocation for multi-services in DVB-T2 systems.
IET Communications, 11 (6), .
(doi:10.1049/iet-com.2016.0795).
Abstract
Digital television terrestrial broadcasting (DTTB) networks can help to alleviate the congestion problem in cellular networks by delivering rich contents to a large number of clients simultaneously. In particular, recently, there is a strong interest of extending current DTTB systems to support multimedia broadcasting services. The lack of return channel and long transmission time interval however impose great challenge to the resource allocation for this application in DTTB networks. The reliable resource allocation is studied for multi-services with data delivery delay constraints in the second generation digital video broadcasting terrestrial (DVB-T2) system. To solve this challenging problem, the data cells of a T2-frame are divided into data slices which are indexed by binary numbers. These data slices are organised in a binary tree, and each node in the tree is associated with a certain number of non-adjacent data slices. Then a node can be allocated to a service by using the predefined policies. Based on this scheme, this study proposes a heuristic algorithm to allocate resources to multi-services. Simulation results validate the effectiveness of the proposed algorithm and demonstrate its advantage over the current resource allocation scheme in DVB-T2 networks.
Text
Efficient and reliable slice allocation for multi-services in DVB - T2 systems
- Accepted Manuscript
Text
COM-2016-0795
- Version of Record
Restricted to Repository staff only
Request a copy
More information
Accepted/In Press date: 13 December 2016
e-pub ahead of print date: 29 March 2017
Published date: 20 April 2017
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 408178
URI: http://eprints.soton.ac.uk/id/eprint/408178
PURE UUID: c3cdb6e3-f1f1-40cc-b319-36151d201630
Catalogue record
Date deposited: 16 May 2017 04:02
Last modified: 15 Mar 2024 13:48
Export record
Altmetrics
Contributors
Author:
Fang Wang
Author:
Zhaocheng Wang
Author:
Sheng Chen
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics