Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
453410 | Computer Standards & Interfaces | 2012 | 11 Pages |
The research work reported in this paper investigates if a Markov chain can model the throughput and packet error rate (PER) performance of off-the-shelf IEEE 802.11n wireless LAN network interface cards (NICs). We draw together uplink -downlink information from the NIC with a Markov chain to examine the performance of 802.11n within an indoor environment. Site measurements and point-estimates are taken and compared with the model predictions. Errors of less than 4% were recorded for the Markov model estimates while point-estimates recorded average errors of 9% both compared to site-measured throughput.
► A hybrid Markov model incorporating link-layer metrics is introduced. ► The model considers uplink–downlink SS changes to ascertain MCS transitions. ► Throughput and PER prediction improved by leveraging link-layer measurements. ► Reported results in this paper expand existing data on 802.11n performance.