Experimentation with radio environment maps for resources optimisation in dense wireless scenarios

conferenceObject

Dionísio, Rogério Pais
Alves, T.F.
Ribeiro, J.M.A.

DIONÍSIO, R.P. ; ALVES, T.F.; RIBEIRO, J.M.A.(2017) - Experimentation with radio environment maps for resources optimisation in dense wireless scenarios. In International Conference on Advances in Cognitive Radio, 7, Veneza, 23-27 Abril. [IARIA : s.n.]. p. 1-6

Experimentation with radio environment maps for resources optimisation in dense wireless scenarios

Radio environment map
Radio test-bed
Radio resource management
Experimentation

2017-04-28T14:00:54Z
2017-04-28T14:00:54Z
2017

The rapidly increasing popularity of WiFi has created unprecedent levels of congestion in the unlicensed frequency bands, especially in densely populated urban areas. This results mainly because of the uncoordinated operation and the unmanaged interference between WiFi access points. Recently, Radio Environment Maps (REM) have been suggested as a support for coordination strategies that optimize the overall WiFi network performance. Despite some theoretical work done in this area, there are no clear experimental evidences of the benefit brought by WiFi coordination. In this context, the main objective of this experiment is to assess the benefit of a coordinated management of radio resources in dense WiFi networks using REMs for indoor scenarios. This experiment has used the w-iLab.t test environment provided by iMINDS, a cognitive-radio testbed for remote experimentation. It was shown that REMs are capable of detecting the presence of interfering links on the network (co-channel or adjacent channel interference), and a suitable coordination strategy can use this information to reconfigure Access Points (AP) channel assignment and reestablish the client connection. The coordination strategy almost double the capacity of a WiFi link under strong co–channel interference, from 6.8 Mbps to 11.8 Mbps, increasing the aggregate throughput of the network from 58.7 Mbps to 71.5 Mbps. However, this gain comes with the cost of a relatively high density network of spectrum sensors (12 sensors for an area of 60 × 20 m), increasing the cost of deployment.
info:eu-repo/semantics/publishedVersion

openAccess
http://creativecommons.org/licenses/by/4.0/

eng