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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 5 Issue 1, November-December 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1134
Review Paper on 802.11ax Scheduling and Resource Allocation
Ibrahim Masri, Erdal Erdal, Atilla Ergüzen
Computer Engineering, Kirikkale University, Kirikkale, Turkey
ABSTRACT
Nowadays a fast remote Internet association is a need as opposed to a luxury.
IEEE 802.11ax could be a revolution to present an improvement over this age
of 802.11. 802.11ax has been accepted to convey next-generation Wireless
Local Area Network (WLAN) techniques. 802.11ax using multiple techniques
as using modulation 1024 Quadrature Amplitude Modulation (QAM),
Orthogonal Frequency Division Multiple Access (OFDMA), robust high
efficiency signaling for better operation at a significantly lower Received
Signal Strength Indication (RSSI), Target Wakeup Time (TWT) where the
station can request to wake up at any time in the future and more. 802.11ax
achieves multiple benefits as enabling a more than 35% speed burst, reduce
overhead and latency, and more. This paper gives a review of the IEEE
802.11ax resource allocation scheduling in both: 1) Downlink (DL) data
transfer 2) Uplink (UL) data transfer.
KEYWORD: IEEE 802.11ax, Scheduling, MU-MIMO, Resource allocation, Wi-Fi,
OFDMA
How to cite this paper: Ibrahim Masri |
Erdal Erdal | Atilla Ergüzen "Review
Paper on 802.11ax Scheduling and
Resource Allocation"
Published in
International Journal
of Trend in Scientific
Research and
Development(ijtsrd),
ISSN: 2456-6470,
Volume-5 | Issue-1,
December 2020, pp.1134-1139, URL:
www.ijtsrd.com/papers/ijtsrd38162.pdf
Copyright © 2020 by author(s) and
International Journal ofTrendinScientific
Research and Development Journal. This
is an Open Access article distributed
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CommonsAttribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by/4.0)
INTRODUCTION
While the beginning of Wi-Fi can be followed back to1971,it
has drastically developed from that point forward to turn
into a regular basis in both our own and professional lives
with access focuses now accessible at home, in the work
environment, and in open areas. Many are obsolete and do
not facilitate the necessities of their customers. Despite the
fact that Wi-Fi's improvement has seen more conspicuous
convenience and usages for devices, significant slow can
cause ruin for customers and stopped their work[1]. The
802.11ax execution of OFDMA separates channels into
smaller and not fixed size Resource Units (RUs) ofa multiple
number of subcarriers and a short time selects the RUs to
different users. This engages the 802.11ax path to have the
limitless authority of UL and DL transmissions to various
users simultaneously[2].
In 802.11ax networks OFDMA works upon “Carrier Sense
Multiple Access with Collision Avoidance (CSMA/CA)”
technique. Here the Access Point (AP) first accesses the
channel by the legacy Wi-Fi rules then we can be initiating
the MU frame in both DL and UL[3]. In addition, the frame of
the OFDMA has two sections: Physical layer (PHY)preamble
is the equivalent for all Stations (STAs), and information
created by or bound for different users is communicated
with it. The OFDMA frame must start and complete at the
same time. In the DL transmission, there is no problem
because the OFDMA frame is made in the AP. While in UL
transmission we faced this issue, a synchronized the
transmitting frames from users and the preambles of PHY
produced by users will be the equivalentofsizeandcontrols.
the APs sent Trigger Frame (TF) to control multiplethingsas
allow channel access, and to give the STAs transmission
information such as Modulation and coding plans (MCSs),
parameters to change transmission power, Multiple Input
and Multiple Output MIMO, transmission period, the data
inside of PHY preamble, and so on. The TF is befitted too in
synchronize sending STAs. The "Multi-STA Block
Acknowledgment frame (MSBA)" to users to tell them it got
the frames successfully[4].
To highlight the review in hand, we divide the review into
three sections: a review based on general scheduling, a
review based on DL scheduling, and a review based on UL
scheduling.
A. Review based on General Scheduling:
Progressed IEEE 802.11ax TCP-mindful scheduling systems
for upgrading the AP activity under the unidirectional
transmission of TCP traffic had suggested.The efficiency and
performance have upgraded in this schedulingprocedure by
utilizing the benefit of Multi-User (MU) transmissions in the
UL and DL Transmission, in view of Transmission
Opportunities (TXOP)[5].
The investigation in [6], was about an algorithm over
OFDMA in 802.11ax network to allocate the resources and
propose a novel algorithm pointed toward giving a delay of
short of what very short time (lessthanonemillisecond)and
high quality so it is ideal for real-time applications. A novel
allocation algorithm called “Cyclic Resource Assignment
(CRA)” had designed. The algorithm plans to schedule the
resources at the start of each scheduling step by allocates
just the littlest, 26-tone RUs for STAs, so thisempoweredthe
AP to set the maximal of RUs and to increase the quantity of
all the while served STAs. Finger 1 indicated theflowchartof
the algorithm.
IJTSRD38162
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1135
Figure 1 Block scheme of CRA [6]
In the paper [7],three scheduling procedures over 11ax unidirectional TCP data transmission of DL from AP to STAs have
proposed. Two of them depend on the Single User (SU) activity and one depends on MU activity, utilizing MU-MIMO and
OFDMA techniques:
Reverse Direction (RD) is an instrument by which the proprietor of a “Transmission Opportunity (TXOP)”, the AP, in this
case, can empower its recipient to promptly send back the TCP Acks duringthe TXOPso thecollectordoesnothavetostart
UL transmission by utilizing the Extended Distributed Coordination Function (EDCF) divert accessstrategycharacterized
in IEEE 802.11e.
In this strategy, the AP utilizes TXOPs yet not RD, when the AP gains admittance to the channel it communicatesDL,HESU
A-MPDU frames containing TCP Data portions to a station in succession. Each transmission of a single DL HE SU A-MPDU
frame from the AP is trailed by a Back-frame transmission from the objective station.
In this HE DL MU scheduling procedure, after waiting for the Back Off and AIFS stretches, the AP getsaccess and begin a
TXOP by sending DL HE MU A-MPDU frames containing TCP Data portions to a gathering of STAs at the same time. To
communicate to a gathering of stations at the same time, the AP allocatesResourceUnits(RU),i.e.,subchannels,per served
station. The RU allocation will finish by using TCP Data portions for DL and TCP Acks for UL.
In [8], two algorithms had suggested. The first one:a practical algorithm wherein the scheduling period is fixed and again has
proposed. The other proposed scheduling where the scheduling period is not fixeddecidedina resourceallocationframework
by thinking about the fairness, padding overhead, and energy utilization of the STAs. Where the AP first transmit a TF frame
which currently just indicates the ID of the gathering such as the IDs of the selected users, and the selected subchannel toeach
selected user. While in [9],Using a variation of IEEE 802.11e "Enhanced Distributed Channel Access (EDCA)", a conflict based
resource unite (RU) selected in OFDMA based on 11ax networks had Proposed. The strategy is to stretch out EDCA inside the
OFDMA framework where the AP communicates with "Physical Protocol Data Units (PPDUs)" by deciding the RUs to be
selected to its related STAs.
In OFDMA 802.11ax resource allocation scheduling the user or user groups can be just in one of RU in each scheduling timeIn
[10],present a divide and conquer based algorithm but here we can get the scheduling as the user can allocate in multiple RUs
at the same scheduling time. Here two practical algorithms for the genuine issue had presented. A greedy one and a recursive
one that mutually parts the bandwidth into RUs and timetables users on them. A recursive algorithm given in Figure 2.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1136
Figure 2 pseudocode of provided algorithm [10]
In [11], a novel resource allocation algorithm based on OFDMA called MUSE had presented. The critical idea ofMUSEisthatan
AP secures Channel State Information (CSI) from the UL OFDMA sending after that endeavors this serves MU-MIMO SATs.To
accomplish this as appeared in Figure 3, when the AP gets access to the channel the AP starts a UL transmission of users then
begins to send by means of DL MU-MIMO. This continuous transmission is intended to happen within just a single TXOP.
Figure 3 Operational example of MUSE [11]
B. Based on Downlink (DL) Scheduling:
In [12], the station-resource unit scheduling problem in the DL OFDMA of 11ax subject to minimum throughput requirements
had addressed. A novel scheduling policy based on weighted max-min fairness had proposed, which maximizes the minimum
fraction between the achievable and minimum required throughputs.
In [13],an efficient rate and allocation algorithmfor OFDMADL frameworkshadproposedwhereeachtoneistakenbyoneuser
at most. This algorithm has demonstrated that with a practical number of tones, the duality hole is basically zero and the ideal
arrangements can be efficiently acquired. While in [14], resource allocation for DL OFDMA frameworks with the target to
enable ultra-reliable lower latency communication (URLLC). In this manner, an algorithm dependent on progressive raised
enhancement is proposed to find a solution with polynormal time complexity as shown in figure 4.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1137
Figure 4 MU DL URLLC-OFDMA system:(a) Base station and, users; (b) Structure of the frame[14]
C. Based on UL Scheduling:
In [15], a new scheduling algorithm called MUTEX, Minimize time of uploading in 802.11ax system had formatted.Thatmeans
limiting the transfer period in a situation with a huge number of users. Contingent upon the situation in some cases it merits
utilizing an exemplary SRTF technique, while in different situations the channel had to be a part of a few STAs to limit the
transfer period. The MUTAX, which dynamically picks the best procedure so it significantly beats old solutions.
In [16], a set of algorithm schedulers for 802.11ax had proposed:
Max Rate: probably the easiest scheduler, called Max Rate (MR) expects to increase and optimate network throughput by
maximize it.
Proportional Fair (PF): selected RUs to STAs in a manner that boosts service rate by maximize it.
Shortest Remaining Processing Time (SRPT): intends to limit the work time that be in the framework. Workflow of SRPT
schedulers shown in Figure 5.
Figure 5 UL Workflow of SRPT schedulers [16]
In [17], the more broad issue of stochastic network utility boost had addressed. Specifically, it boosts the benefit of long-term
normal paces of SATs to the optimal rate (average) and force imperatives utilizing “Lyapunov” improvement. The subsequent
resource selection arrangements perform self-assertively near ideal and have polynomial time intricacy. A significant bit of
leeway of the suggested algorithm is that it tends to be utilized alongsidetheobjective activetimeinstrumentof11axnetworks
to give ensures the ideal power (average) utilization and reachable paces of STAs at whatever point possible. UL OFDMA
transmissions shown in Figure6.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1138
Figure 6 an example of UL OFDMA transmissions considered in the system mode[17]
In [18],a general study of the UL MU OFDMA and an analytical model for describing the presentation of the MAC layer over
802.11ax had given. where research the tradeoff between givingmaximizenetwork performanceandservingnewusers.While
in [19],a novel UL scheduling techniques over IEEE 802.11ax and analyze it over the most extreme throughputs of the single
direction of UDP MU triadic had investigated. The assessment is led dependent on MIMO and OFDMA techniques over 11ax
networks versus the CSMA and proposed an optimal technique to IEEE 802.11ac and IEEE 802.11ax that looks at maximizing
the throughputs while considering UDP sending and that many STAs are communicating in the framework.
The study at [20], explores 802.11ax MAC empowers MUOFDMA sendsintheUL byutilizingtwokindsofRUs:“RandomAccess
(RA)” RUs, and “Scheduled Access (SA)” RUs,and study the effect of various dispersions of the two kinds on the MAC layer
execution. The algorithm shown in Figure 8.
Figure 7 Algorithm for optimal RU allocation in 802.11ax [20]
Conclusion:
To fulfill the constantly expandingneedsforhighthroughput
in wireless networks. 802.11ax has approved as the next
generation of Wi-Fi technique. In this paper, a review on
802.11ax scheduling and resource allocation has presented.
Thus, this review contributes to give the researchers who
work on 802.11ax scheduling good information. Artificial
intelligence can give the investigation to make algorithms
more brilliant, comprehend network gives quicker, and
make designs more effective. So, if we can use machine
learning with the 802.11ax it will make it more efficient and
used the best of OFDMA properties.
References:
[1] W. Stallings and C. Beard, Wireless CommuniCation
netWorks and systems. Hoboken: Pearson Higher
Education, 2016.
[2] CISCO(team), “IEEE 802 . 11ax : The Sixth Generation
of Wi-Fi,” 2018. [Online]. Available:
https://www.cisco.com/c/en/us/products/collateral
/wireless/white-paper-c11-740788.html.
[3] H. A. Omar et al., “A Survey on High Efficiency
Wireless Local Area Networks : Next Generation
WiFi,” IEEE Commun. Surv. Tutorials, vol. 18, no. 4,pp.
2315–2344, 2016, doi:
10.1109/COMST.2016.2554098.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1139
[4] B. Bellalta, “IEEE 802.11ax: High-efficiency WLANS,”
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[5] O. Sharon and Y. Alpert, “Advanced IEEE 802.11ax
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[6] E. Avdotin, D. Bankov, E. Khorov, and A. Lyakhov,
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[7] O. Sharon and Y. Alpert, “OptimizingTCPGoodputand
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[8] M. Karaca, S. Bastani, B. E. Priyanto, M. Safavi, and B.
Landfeldt, “Resource management for OFDMA based
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10.1109/WMNC.2016.7543930.
[9] R. M. Karthik and S. Palaniswamy,“ResourceUnit(RU
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in 2018 International Conference on Advances in
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10.1109/ICACCI.2018.8554931.
[10] K. Wang and K. Psounis, “Scheduling and Resource
Allocation in 802 . 11ax,” in IEEE INFOCOM 2018 -
IEEE Conference on Computer Communications, 2018,
pp. 279–287, doi: 10.1109/INFOCOM.2018.8486204.
[11] K. H. Lee, “Using OFDMA for MU-MIMO user selection
in 802.11ax-Based Wi-Fi Networks,” IEEE Access, vol.
7, pp. 186041–186055, 2019, doi:
10.1109/ACCESS.2019.2960555.
[12] K. Dovelos and B. Bellalta, “A Scheduling Policy for
Downlink OFDMA in IEEE 802.11ax with Throughput
Constraints,” pp. 1–5, 2020, [Online]. Available:
http://arxiv.org/abs/2009.00413.
[13] K. Seong, M. Mohseni, and J. Cioffi, “Optimal Resource
Allocation for OFDMA Downlink Systems,” in 2006
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[14] W. R. Ghanem, V. Jamali, Y. Sun, and R. Schober,
“Resource AllocationforMulti-UserDownlink URLLC-
OFDMA Systems,” in 2019 IEEE International
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[15] D. Bankov, A. Didenko, E. Khorov, V. Loginov, and A.
Lyakhov, “IEEE 802.11ax uplink scheduler to
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[16] D. Bankov, A. Didenko, E. Khorov, and A. Lyakhov,
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[18] G. Naik, S. Bhattarai, and J.-M. Park, “Performance
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802.11ax Scheduling Review

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 5 Issue 1, November-December 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1134 Review Paper on 802.11ax Scheduling and Resource Allocation Ibrahim Masri, Erdal Erdal, Atilla Ergüzen Computer Engineering, Kirikkale University, Kirikkale, Turkey ABSTRACT Nowadays a fast remote Internet association is a need as opposed to a luxury. IEEE 802.11ax could be a revolution to present an improvement over this age of 802.11. 802.11ax has been accepted to convey next-generation Wireless Local Area Network (WLAN) techniques. 802.11ax using multiple techniques as using modulation 1024 Quadrature Amplitude Modulation (QAM), Orthogonal Frequency Division Multiple Access (OFDMA), robust high efficiency signaling for better operation at a significantly lower Received Signal Strength Indication (RSSI), Target Wakeup Time (TWT) where the station can request to wake up at any time in the future and more. 802.11ax achieves multiple benefits as enabling a more than 35% speed burst, reduce overhead and latency, and more. This paper gives a review of the IEEE 802.11ax resource allocation scheduling in both: 1) Downlink (DL) data transfer 2) Uplink (UL) data transfer. KEYWORD: IEEE 802.11ax, Scheduling, MU-MIMO, Resource allocation, Wi-Fi, OFDMA How to cite this paper: Ibrahim Masri | Erdal Erdal | Atilla Ergüzen "Review Paper on 802.11ax Scheduling and Resource Allocation" Published in International Journal of Trend in Scientific Research and Development(ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1, December 2020, pp.1134-1139, URL: www.ijtsrd.com/papers/ijtsrd38162.pdf Copyright © 2020 by author(s) and International Journal ofTrendinScientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0) INTRODUCTION While the beginning of Wi-Fi can be followed back to1971,it has drastically developed from that point forward to turn into a regular basis in both our own and professional lives with access focuses now accessible at home, in the work environment, and in open areas. Many are obsolete and do not facilitate the necessities of their customers. Despite the fact that Wi-Fi's improvement has seen more conspicuous convenience and usages for devices, significant slow can cause ruin for customers and stopped their work[1]. The 802.11ax execution of OFDMA separates channels into smaller and not fixed size Resource Units (RUs) ofa multiple number of subcarriers and a short time selects the RUs to different users. This engages the 802.11ax path to have the limitless authority of UL and DL transmissions to various users simultaneously[2]. In 802.11ax networks OFDMA works upon “Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA)” technique. Here the Access Point (AP) first accesses the channel by the legacy Wi-Fi rules then we can be initiating the MU frame in both DL and UL[3]. In addition, the frame of the OFDMA has two sections: Physical layer (PHY)preamble is the equivalent for all Stations (STAs), and information created by or bound for different users is communicated with it. The OFDMA frame must start and complete at the same time. In the DL transmission, there is no problem because the OFDMA frame is made in the AP. While in UL transmission we faced this issue, a synchronized the transmitting frames from users and the preambles of PHY produced by users will be the equivalentofsizeandcontrols. the APs sent Trigger Frame (TF) to control multiplethingsas allow channel access, and to give the STAs transmission information such as Modulation and coding plans (MCSs), parameters to change transmission power, Multiple Input and Multiple Output MIMO, transmission period, the data inside of PHY preamble, and so on. The TF is befitted too in synchronize sending STAs. The "Multi-STA Block Acknowledgment frame (MSBA)" to users to tell them it got the frames successfully[4]. To highlight the review in hand, we divide the review into three sections: a review based on general scheduling, a review based on DL scheduling, and a review based on UL scheduling. A. Review based on General Scheduling: Progressed IEEE 802.11ax TCP-mindful scheduling systems for upgrading the AP activity under the unidirectional transmission of TCP traffic had suggested.The efficiency and performance have upgraded in this schedulingprocedure by utilizing the benefit of Multi-User (MU) transmissions in the UL and DL Transmission, in view of Transmission Opportunities (TXOP)[5]. The investigation in [6], was about an algorithm over OFDMA in 802.11ax network to allocate the resources and propose a novel algorithm pointed toward giving a delay of short of what very short time (lessthanonemillisecond)and high quality so it is ideal for real-time applications. A novel allocation algorithm called “Cyclic Resource Assignment (CRA)” had designed. The algorithm plans to schedule the resources at the start of each scheduling step by allocates just the littlest, 26-tone RUs for STAs, so thisempoweredthe AP to set the maximal of RUs and to increase the quantity of all the while served STAs. Finger 1 indicated theflowchartof the algorithm. IJTSRD38162
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1135 Figure 1 Block scheme of CRA [6] In the paper [7],three scheduling procedures over 11ax unidirectional TCP data transmission of DL from AP to STAs have proposed. Two of them depend on the Single User (SU) activity and one depends on MU activity, utilizing MU-MIMO and OFDMA techniques: Reverse Direction (RD) is an instrument by which the proprietor of a “Transmission Opportunity (TXOP)”, the AP, in this case, can empower its recipient to promptly send back the TCP Acks duringthe TXOPso thecollectordoesnothavetostart UL transmission by utilizing the Extended Distributed Coordination Function (EDCF) divert accessstrategycharacterized in IEEE 802.11e. In this strategy, the AP utilizes TXOPs yet not RD, when the AP gains admittance to the channel it communicatesDL,HESU A-MPDU frames containing TCP Data portions to a station in succession. Each transmission of a single DL HE SU A-MPDU frame from the AP is trailed by a Back-frame transmission from the objective station. In this HE DL MU scheduling procedure, after waiting for the Back Off and AIFS stretches, the AP getsaccess and begin a TXOP by sending DL HE MU A-MPDU frames containing TCP Data portions to a gathering of STAs at the same time. To communicate to a gathering of stations at the same time, the AP allocatesResourceUnits(RU),i.e.,subchannels,per served station. The RU allocation will finish by using TCP Data portions for DL and TCP Acks for UL. In [8], two algorithms had suggested. The first one:a practical algorithm wherein the scheduling period is fixed and again has proposed. The other proposed scheduling where the scheduling period is not fixeddecidedina resourceallocationframework by thinking about the fairness, padding overhead, and energy utilization of the STAs. Where the AP first transmit a TF frame which currently just indicates the ID of the gathering such as the IDs of the selected users, and the selected subchannel toeach selected user. While in [9],Using a variation of IEEE 802.11e "Enhanced Distributed Channel Access (EDCA)", a conflict based resource unite (RU) selected in OFDMA based on 11ax networks had Proposed. The strategy is to stretch out EDCA inside the OFDMA framework where the AP communicates with "Physical Protocol Data Units (PPDUs)" by deciding the RUs to be selected to its related STAs. In OFDMA 802.11ax resource allocation scheduling the user or user groups can be just in one of RU in each scheduling timeIn [10],present a divide and conquer based algorithm but here we can get the scheduling as the user can allocate in multiple RUs at the same scheduling time. Here two practical algorithms for the genuine issue had presented. A greedy one and a recursive one that mutually parts the bandwidth into RUs and timetables users on them. A recursive algorithm given in Figure 2.
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1136 Figure 2 pseudocode of provided algorithm [10] In [11], a novel resource allocation algorithm based on OFDMA called MUSE had presented. The critical idea ofMUSEisthatan AP secures Channel State Information (CSI) from the UL OFDMA sending after that endeavors this serves MU-MIMO SATs.To accomplish this as appeared in Figure 3, when the AP gets access to the channel the AP starts a UL transmission of users then begins to send by means of DL MU-MIMO. This continuous transmission is intended to happen within just a single TXOP. Figure 3 Operational example of MUSE [11] B. Based on Downlink (DL) Scheduling: In [12], the station-resource unit scheduling problem in the DL OFDMA of 11ax subject to minimum throughput requirements had addressed. A novel scheduling policy based on weighted max-min fairness had proposed, which maximizes the minimum fraction between the achievable and minimum required throughputs. In [13],an efficient rate and allocation algorithmfor OFDMADL frameworkshadproposedwhereeachtoneistakenbyoneuser at most. This algorithm has demonstrated that with a practical number of tones, the duality hole is basically zero and the ideal arrangements can be efficiently acquired. While in [14], resource allocation for DL OFDMA frameworks with the target to enable ultra-reliable lower latency communication (URLLC). In this manner, an algorithm dependent on progressive raised enhancement is proposed to find a solution with polynormal time complexity as shown in figure 4.
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1137 Figure 4 MU DL URLLC-OFDMA system:(a) Base station and, users; (b) Structure of the frame[14] C. Based on UL Scheduling: In [15], a new scheduling algorithm called MUTEX, Minimize time of uploading in 802.11ax system had formatted.Thatmeans limiting the transfer period in a situation with a huge number of users. Contingent upon the situation in some cases it merits utilizing an exemplary SRTF technique, while in different situations the channel had to be a part of a few STAs to limit the transfer period. The MUTAX, which dynamically picks the best procedure so it significantly beats old solutions. In [16], a set of algorithm schedulers for 802.11ax had proposed: Max Rate: probably the easiest scheduler, called Max Rate (MR) expects to increase and optimate network throughput by maximize it. Proportional Fair (PF): selected RUs to STAs in a manner that boosts service rate by maximize it. Shortest Remaining Processing Time (SRPT): intends to limit the work time that be in the framework. Workflow of SRPT schedulers shown in Figure 5. Figure 5 UL Workflow of SRPT schedulers [16] In [17], the more broad issue of stochastic network utility boost had addressed. Specifically, it boosts the benefit of long-term normal paces of SATs to the optimal rate (average) and force imperatives utilizing “Lyapunov” improvement. The subsequent resource selection arrangements perform self-assertively near ideal and have polynomial time intricacy. A significant bit of leeway of the suggested algorithm is that it tends to be utilized alongsidetheobjective activetimeinstrumentof11axnetworks to give ensures the ideal power (average) utilization and reachable paces of STAs at whatever point possible. UL OFDMA transmissions shown in Figure6.
  • 5. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD38162 | Volume – 5 | Issue – 1 | November-December 2020 Page 1138 Figure 6 an example of UL OFDMA transmissions considered in the system mode[17] In [18],a general study of the UL MU OFDMA and an analytical model for describing the presentation of the MAC layer over 802.11ax had given. where research the tradeoff between givingmaximizenetwork performanceandservingnewusers.While in [19],a novel UL scheduling techniques over IEEE 802.11ax and analyze it over the most extreme throughputs of the single direction of UDP MU triadic had investigated. The assessment is led dependent on MIMO and OFDMA techniques over 11ax networks versus the CSMA and proposed an optimal technique to IEEE 802.11ac and IEEE 802.11ax that looks at maximizing the throughputs while considering UDP sending and that many STAs are communicating in the framework. The study at [20], explores 802.11ax MAC empowers MUOFDMA sendsintheUL byutilizingtwokindsofRUs:“RandomAccess (RA)” RUs, and “Scheduled Access (SA)” RUs,and study the effect of various dispersions of the two kinds on the MAC layer execution. The algorithm shown in Figure 8. Figure 7 Algorithm for optimal RU allocation in 802.11ax [20] Conclusion: To fulfill the constantly expandingneedsforhighthroughput in wireless networks. 802.11ax has approved as the next generation of Wi-Fi technique. In this paper, a review on 802.11ax scheduling and resource allocation has presented. Thus, this review contributes to give the researchers who work on 802.11ax scheduling good information. Artificial intelligence can give the investigation to make algorithms more brilliant, comprehend network gives quicker, and make designs more effective. So, if we can use machine learning with the 802.11ax it will make it more efficient and used the best of OFDMA properties. References: [1] W. Stallings and C. Beard, Wireless CommuniCation netWorks and systems. Hoboken: Pearson Higher Education, 2016. [2] CISCO(team), “IEEE 802 . 11ax : The Sixth Generation of Wi-Fi,” 2018. [Online]. Available: https://www.cisco.com/c/en/us/products/collateral /wireless/white-paper-c11-740788.html. [3] H. A. Omar et al., “A Survey on High Efficiency Wireless Local Area Networks : Next Generation WiFi,” IEEE Commun. Surv. Tutorials, vol. 18, no. 4,pp. 2315–2344, 2016, doi: 10.1109/COMST.2016.2554098.
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