Li, Chang and Wang, Yafeng and Xiang, Wei and Yang, Dacheng (2010) Performance of user cooperation and clustering scheme in cellular networks. In: 2010 IEEE International Conference on Communications: Communications: Accelerating Growth and Development (ICC 2010), 23-27 May 2010, Capetown, South Africa.
Abstract
In the cooperative system with a large number of users,
the base station may select a subset of users to serve in order to maximize the total throughput. The brute-force search for the optimal user set, however, is computationally prohibitive. We propose a clustering algorithm for cooperative communication systems, whose objective is to increase the cellular network throughput and further improve the system performance. In this cellular system, we consider all the available users are divided into two groups. One is the super group which locates in the cell central region, and another is the regular group which locates in the cell boundary. The super group is served by Base Station (BS), and the Mobile Stations (MSs) locate in the cell boundary are served by the clusterhead (CH) which is elected from the regular group. Simulation results show that this scheme can
bring higher system throughput, and it also can increase the data rate at the cell edge.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Permanent restricted access to published version due to publisher's copyright restriction. Author version not held. |
| Depositing User: | Dr Wei Xiang |
| Faculty / Department / School: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering |
| Date Deposited: | 10 Feb 2011 00:17 |
| Last Modified: | 02 Sep 2014 21:57 |
| Uncontrolled Keywords: | user cooperation; relay; clustering; throughput; cellular networks; wireless communication |
| Fields of Research : | 10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks 08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity 10 Technology > 1005 Communications Technologies > 100510 Wireless Communications |
| Socio-Economic Objective: | E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences |
| Identification Number or DOI: | doi: 10.1109/ICCW.2010.5503906 |
| URI: | http://eprints.usq.edu.au/id/eprint/18245 |
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