Comparison between TCP scheduling strategies in IEEE 802.11ac based wireless networks

Sharon, Oran; Alpert, Yaron

doi:10.1016/j.adhoc.2017.02.009

Cited by 3 publications

(4 citation statements)

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“…The issue of TCP traffic over IEEE 802.11ac networks has been investigated, e.g. in [34][35][36], for uni-directional DL TCP traffic, uni-directional UL TCP traffic and both bi-directional DL and UL TCP traffic. However, in all these works there is no possibility of using the MU operation mode over the UL, a feature that was first introduced in IEEE 802.11ax .…”

Section: Previous Workmentioning

confidence: 99%

“…Most of the research papers on IEEE 802.11ax thus far examine new mechanisms in the PHY and MAC layers of the IEEE 802.11ax proposal . The issue of TCP traffic over IEEE 802.11ac networks has been investigated, eg, in previous studies, for unidirectional DL TCP traffic, unidirectional UL TCP traffic and both bi‐directional DL and UL TCP traffic. However, in all these works, there is no possibility of using the MU operation mode over the UL, a feature that was first introduced in IEEE 802.11ax.…”

Section: Introductionmentioning

confidence: 99%

“…To the best of our knowledge, the study of Sharon and Alpert is the first and only paper so far that deals with TCP traffic over IEEE 802.11ax networks. In Sharon and Alpert, there is a comprehensive description of TCP transmission methods over variants of IEEE 802.11 preceding IEEE 802.11ac. These, however, are not relevant to this paper since they are all based on the CSMA/CD access protocol while in this paper, we consider a synchronized access without collisions.…”

Section: Introductionmentioning

confidence: 99%

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Advanced IEEE 802.11ax TCP aware scheduling under unreliable channels

Sharon

Alpert

2019

Int J Communication

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In this paper, we suggest advanced IEEE 802.11ax (WiFi) TCP-aware scheduling strategies for optimizing the TCP Goodput AP operation under transmission of unidirectional TCP traffic to downloading stations. Our scheduling strategies optimize the TCP Goodput performance using the capability for Multi User transmissions over the Uplink, first introduced in IEEE 802.11ax, together with Multi User transmissions over the Downlink. The scheduling strategies are based on Transmission Opportunities (TXOP), and we suggest three scheduling strategies determining the TXOP formation parameters. In one of the strategies, one can control the achieved TCP Goodput vs the delay. We also assume saturated TCP transmission queues. We show that with minimal TCP Goodput degradation, one can avoid considerable delays: It turns out that for TCP Data segments of 1460 bytes, achieving optimal TCP Goodput requires TXOPs of 25 ms, while if one loses only 5% of the optimal Goodput, TXOPs can be of only 3 ms. For TCP Data segments of 256 bytes, the TXOPs are of 13 and 5 ms, respectively.

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Section: Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Advanced IEEE 802.11ax TCP aware scheduling under unreliable channels

Sharon

Alpert

2019

Int J Communication

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“…We would like to mention that the issue of TCP traffic over IEEE 802.11ac networks (the predecessor standard of IEEE 802.11ax) has already been investigated, e.g. in [26][27][28], for DL TCP traffic, UL TCP traffic and both DL and UL TCP traffic. However, in all these works there is no possibility of using the MU operation mode over the UL, a feature that was first introduced in IEEE 802.11ax .…”

Section: Previous Workmentioning

confidence: 99%

Optimizing TCP Goodput and Delay in next generation IEEE 802.11 (ax) devices

Sharon

Alpert

2018

TNC

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In this paper we suggest three scheduling strategies for the IEEE 802.11ax transmission of DL unidirectional TCP data from the Access Point to stations. Two strategies are based on the Single User operation mode and one is based on the Multi User operation mode, using Multi User Multiple-Input-Multiple-Output (MU-MIMO) and OFDMA. We measure the Goodput of the system as a function of the time intervals over which these Goodputs are received in all three strategies. For up to 8 stations the MU strategy outperforms the SU. For 16 and 32 stations it is not clear whether MU outperforms SU or vice versa. For 64 stations the SU strategies outperform the MU significantly. We also checked the influence of the Delayed Acks feature on the received Goodputs and found that this feature has significance only when the TCP data segments are relatively short.

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