Abstract
This paper presents a comprehensive performance study of closed-loop fast link adaptation (FLA) in the context of IEEE 802.11n, spanning the physical (PHY) and medium-access control (MAC) layers. In particular, a semi-analytical model is derived for Basic and request to send/clear to send (RTS/CTS) access schemes of the distributed coordination function (DCF), that applies to both, open- and closed-loop strategies. Numerical results serve to demonstrate the accuracy of the proposed model and the superiority of FLA, in terms of MAC goodput, in comparison to open-loop policies. Realistic operating conditions such as outdated feedback information and the use of statistical packet length distributions, issues not treated in previous studies, have also been considered. Moreover, it is shown that incorporating a time-out mechanism in the FLA scheme, weighing down the influence of channel information as this becomes outdated, is a useful strategy to counteract its deleterious effects.
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Notes
Wrapper control frame that encapsulates the ACK and the HT control field required to feedback the MCS selection.
Slot with a lower probability to be accessed than the average (see [15] for more details).
Configured to m max =4 or m max =6 in order to be compared to the new model using m max =6 with R=4 or R=7, respectively.
The Jain’s fairness measure used in this paper is calculated as \(I=\frac{ (\sum^{n}_{i}\beta_{i} )^{2}}{n\sum^{n}_{i} \beta_{i}^{2}}\) where β i denotes the average number of transmissions for STA i. Note that \(I=\frac{1}{n}\) implies an unfair system and I=1 reflects a completely fair system.
References
IEEE (2009) IEEE Std 802.11n-2009, Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications amendment 5: Enhancements for higher throughput.
Kamerman, A., & Monteban, L. (1997). WaveLAN®-II: a high-performance wireless LAN for the unlicensed band. Bell Labs Technical Journal, 2(3), 118–133.
Kim, S., Verma, L., Choi, S., & Qiao, D. (2010). Collision-aware rate adaptation in multi-rate WLANs: design and implementation. Computer Networks, 54(17), 3011–3030.
Joshi, T., Ahuja, D., Singh, D., & Agrawal, D. (2008). SARA: stochastic automata rate adaptation for IEEE 802.11 networks. IEEE Transactions on Parallel and Distributed Systems, 19(11), 1579–1590.
He, J., Kaleshi, D., Munro, A., & McGeehan, J. (2006). Modeling link adaptation algorithm for IEEE 802.11 wireless LAN networks. In IEEE ISWCS, Valencia, Spain, Sept. 2006.
Jung, H., Kwon, T., Choi, Y., & Seok, Y. (2007) A scalable rate adaptation mechanism for IEEE 802.11e wireless LANs. In IEEE FGCN, Jeju-Island, Korea, Dec. 2007.
Zhang, J., Tan, K., Zhao, J., Wu, H., & Zhang, Y. (2008). A practical SNR-guided rate adaptation. In IEEE INFOCOM, Phoenix, AZ, April 2008.
Holland, G., Vaidya, N., & Bahl, P. (2001). A rate-adaptive MAC protocol for multi-hop wireless networks. In ACM MobiCom (pp. 236–251).
Choi, J., Na, J., sup Lim, Y., Park, K., & kwon Kim, C. (2008). Collision-aware design of rate adaptation for multi-rate 802.11 WLANs. IEEE Journal on Selected Areas in Communications, 26(8), 1366–1375.
Bianchi, G. (2000). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communications, 18(3), 535–547.
Park, C., Han, D., & Ahn, S. (2006). Performance analysis of MAC layer protocols in the IEEE 802.11 wireless LAN. Telecommunications Systems, 33, 233–253.
Szczypiorski, K., & Lubacz, J. (2008). Saturation throughput analysis of IEEE 802.11g (ERP-OFDM) networks. Telecommunications Systems, 38, 45–52.
Martorell, G., Riera-Palou, F., & Femenias, G. (2009). Cross-layer link adaptation for IEEE 802.11n. In IEEE IWCLD, Palma, Spain, June 2009.
Martorell, G., Riera-Palou, F., & Femenias, G. (2011). Cross-layer fast link adaptation for MIMO-OFDM based WLANs. Wireless Personal Communications, 56(3), 599–609.
Tinnirello, I., Bianchi, G., & Xiao, Y. (2010). Refinements on IEEE 802.11 distributed coordination function modeling approaches. IEEE Transactions on Vehicular Technology, 59(3), 1055–1067.
Chen, H. (2011). Revisit of the Markov model of IEEE 802.11 DCF for an error-prone channel. IEEE Communications Letters, 15(12), 1278–1280.
Martorell, G., Riera-Palou, F., & Femenias, G. (2011). DCF performance analysis of open- and closed-loop adaptive IEEE 802.11n networks. In IEEE ICC, Kyoto, Japan, June 2011.
Goldsmith, A. (2005). Wireless communications. Cambridge: Cambridge University Press.
Choi, Y.-S., & Alamouti, S. (2008). A pragmatic PHY abstraction technique for link adaptation and MIMO switching. IEEE Journal on Selected Areas in Communications, 26(6), 960–971.
Foschini, G. (1996). Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas. Bell Labs Technical Journal, 1(2), 41–59.
Ghaboosi, K., Latva-aho, M., & Pomalaza-Ráez, C. (2008). A novel MAC protocol and layer two transmission scheduling algorithm for WLANs. Telecommunications Systems, 37, 3–18.
Holland, G., Vaidya, N., & Bahl, P. (2001). A rate-adaptive MAC protocol for multi-hop wireless networks. In ACM MobiCom, Rome, Italy.
Kermoal, J., Schumacher, L., Pedersen, K., Mogensen, P., & Frederiksen, F. (2002). A stochastic MIMO radio channel model with experimental validation. IEEE Journal on Selected Areas in Communications, 20(6), 1211–1226.
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This work has been partially funded by MEC and FEDER through project COSMOS (TEC2008-02422), AM3DIO (TEC2011-25446) and Conselleria d’Educació, Cultura i Universitats del Govern de les Illes Balears through a PhD grant.
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Martorell, G., Riera-Palou, F. & Femenias, G. Modeling fast link adaptation-based 802.11n distributed coordination function. Telecommun Syst 56, 215–227 (2014). https://doi.org/10.1007/s11235-013-9831-x
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DOI: https://doi.org/10.1007/s11235-013-9831-x