802.11ax Downlink Throughput Comparison of OFDM and OFDMA Through System-level Simulation
This example demonstrates how to model a multinode downlink orthogonal frequency-division multiple access (OFDMA) IEEE® 802.11ax™ [ 1 ] scenario using SimEvents®, Stateflow®, and WLAN Toolbox™. In OFDMA, independent groups of subcarriers are allocated to distinct users to realize simultaneous transmission. This multiplexing technique provides significant advantages in terms of spectrum efficiency, contention, latency, and network jitter. This example provides a model to enable downlink (DL) OFDMA communication in a 802.11ax network. The network topology consists of an access point (AP) and four linearly placed stations. The model enables you to configure multiple applications with same access category (AC) for different destination stations. In this example, the allocation of resource units (RUs) to the stations is fixed based on the number of users. The AP schedules transmissions to the stations in a round-robin fashion. The derived plot shows that the DL throughput at the AP is higher with OFDMA as compared to OFDM.
To learn how to simulate this example using MATLAB®, see 802.11ax Downlink OFDMA Multinode System-Level Simulation. It supports advanced capabilities like uplink (UL) acknowledgments, DL multiuser (MU) transmissions up to 74 STAs, and channel reservation using MU-RTS trigger & UL CTS.
The IEEE 802.11ax introduced significant enhancements over the existing 802.11ac standard [ 2 ]. One of the key improvements is the OFDMA, which is an extension of orthogonal frequency division multiplexing (OFDM) digital modulation technology into a multiuser environment. The principle of OFDMA is to efficiently use the available frequency space. OFDMA partitions the channel bandwidth into multiple mutually exclusive subbands, called RUs. By partitioning the channel bandwidth, multiple users can access the air interface simultaneously. As a result, concurrent transmissions of small frames to multiple users is possible at the same time. For example, a conventional 20 MHz channel can be partitioned into a maximum of nine subchannels. Subsequently, using OFDMA, an 802.11ax AP can simultaneously transmit small frames to nine 802.11ax stations. The simultaneous transmission of frames not only cuts down on excessive overhead at the MAC but also minimizes the contention overhead. In OFDMA, the allocation of RUs is completely controlled by the AP. The 802.11ax standard specifies two types of OFDMA transmissions, namely DL and UL OFDMA.
DL OFDMA: AP transmits data to multiple stations simultaneously using a different RU for each station.
UL OFDMA: Multiple stations transmit data to AP at the same time with each station using a different RU.
Comparison of OFDM and OFDMA
This section illustrates the difference between OFDM and OFDMA. In this figure, the 802.11n/ac/ax AP transmits DL to 4 OFDM stations independently over time. The entire channel bandwidth is used for the DL communication between the AP and a single OFDMA station. The same holds true for any uplink transmission from a single 802.11n/ac/ax client to the 802.11n/ac/ax AP.
This figure shows that when OFDMA is used, the 802.11ax AP partitions the channel bandwidth into RUs for multiple OFDMA stations on a continuous basis for simultaneous DL transmissions. By partitioning the channel bandwidth, OFDMA makes efficient use of the available frequency spectrum, resulting in reduced MAC contention and PHY preamble overhead.
An 802.11ax AP can also coordinate with 802.11ax OFDMA stations for simultaneous uplink transmissions.
Model 802.11ax Network with OFDMA
This example demonstrates DL OFDMA communication in an 802.11ax network with one AP and four stations. These stations are linearly placed with AP located at the start. These stations implement carrier-sense multiple access with collision avoidance (CSMA/CA) with physical carrier sense. The physical carrier sensing uses the clear channel assessment (CCA) mechanism to determine whether the medium is busy before transmitting. This example is an enhancement over the 802.11 MAC and Application Throughput Measurement example. The enhancements are related to adding 802.11ax DL OFDMA support in the MAC and PHY library blocks. However, the
Node Position Allocator (NPA),
Visualizer and the
Application Traffic Generator blocks are the same as in the 802.11 MAC and Application Throughput Measurement example.
The components of a WLAN node are shown in this figure. The information is retrieved by pressing the arrow button for each node in the above figure.
This example uses the same application layer blocks (traffic generator and traffic receiver) as used in the 802.11 MAC and Application Throughput Measurement example. You can add or remove any number of application blocks with different configuration options like
Destination Name, and
Access Category (AC). Multiple applications with same AC can be enabled simultaneously with different
Destination Names. To add or remove applications, enter the
Applications subsystem block of a node by double clicking on it. This figure shows the applications inside the
Applications subsystem block.
This figure shows the configuration options for an application. Double click on the
Application Traffic Generator block to retrieve these options.
The AP can be configured to transmit DL OFDMA multiuser format frames by setting
PHY Tx Formatto
HE-MU-OFDMAin MAC configuration parameters. You can also limit the number of users in DL OFDMA transmission using the
Max Downlink Stationsproperty.
Enable parallel transmissions between the basic service sets (BSSs) through the
Enable Spatial Reuse with BSS Colorproperty. This property is applicable only when
PHY Tx Formatproperty is set to
HE-MU-OFDMA. This model does not support the spatial reuse (SR) functionality. To study the impact of SR with BSS coloring on the network throughput, refer Spatial Reuse with BSS Coloring in 802.11ax Residential Scenario example.
Model Limitations with HE-MU-OFDMA Format:
This example supports only DL OFDMA communication. Any node can act as an AP or a station. Nodes with one or more applications enabled are considered APs. This model assumes that all the remaining stations are associated with APs.
Uplink acknowledgments are not supported.
Channel reservation using RTS & CTS is not supported.
OFDMA in combination with MIMO is not supported.
OFDMA in combination with rate adaptation is not supported.
PHY Tx Format is
RTS Threshold, and
Number of Transmit Chains options are disabled.
To measure the network throughput, simulations are carried out for these two scenarios:
AP as transmitter: Simulating the model for the AP serving 1, 2, 4, 6, 8, and 9 stations using the OFDM and OFDMA transmissions.
AP and stations as transmitters: The same scenario as above but with stations also communicating with an AP using OFDM transmissions.
The throughput results obtained through these simulations are plotted as a function of the number of DL stations for both the OFDM (HE-SU) and the OFDMA (HE-MU-OFDMA) configurations.
Create an 802.11ax network with nine stations and one AP. At the AP, add nine
Application Traffic Generator blocks generating data to the nine stations. To enable the stations as transmitters, configure
AppState of an
Application Traffic Generator block to On. Configure the AP/station(s) with the values shown in this table.
|Packet size||1000 bytes|
|Packet Interval||0.00001 seconds|
|Access Category||Best Effort|
|Max A-MPDU Subframes||1|
|Ack Policy||No Ack|
Simulate the network for
HE-MU-OFDMA formats by varying the number of applications enabled as 1, 2, 4, 6, 8, and 9 for each simulation. At the end of each simulation run, the throughput values for each node are retrieved from the
statistics.mat file and summed to obtain the total throughput.
Plot throughput results for OFDM and OFDMA configurations.
AP as transmitter
This code plots OFDM and OFDMA configurations using only AP as transmitters:
figure; % Number of DL stations numStations = [1 2 4 6 8 9]; % Throughput results for OFDMA configuration (Mbps) throughputOFDMA = [32.64 46.08 59.52 55.68 72.96 82.08]; % Throughput results for OFDM configuration (Mbps) throughputOFDM = [33.76 33.76 33.76 33.76 33.76 33.76]; % Plot throughput obtained from OFDM simulations plot(numStations, throughputOFDM,'-o'); % Retain OFDM throughput plot hold on; % Plot throughput obtained from OFDMA simulations plot(numStations, throughputOFDMA,'-x'); grid on; xlabel('Number of DL Stations'); ylabel('Throughput (Mbps)'); legend('OFDM', 'OFDMA', 'Location', 'northeastoutside'); title('Downlink Throughput at AP');
AP and stations as transmitters
This code plots OFDM and OFDMA configurations using both APs and stations as transmitters:
figure; % Number of DL stations numStations = [1 2 4 6 8 9]; % Throughput results for OFDMA configuration (Mbps) throughputOFDMA = [20.8 27.52 32.64 29.76 40.96 38.88]; % Throughput results for OFDM configuration (Mbps) throughputOFDM = [21.44 16.64 10.72 8.16 8 7.2]; % Plot throughput obtained from OFDM simulations plot(numStations, throughputOFDM,'-o'); % Retain OFDM throughput plot hold on; % Plot throughput obtained from OFDMA simulations plot(numStations, throughputOFDMA,'-x'); grid on; xlabel('Number of DL Stations'); ylabel('Throughput (Mbps)'); legend('OFDM', 'OFDMA', 'Location', 'northeastoutside'); title('Downlink Throughput at AP');
The above plots show the 802.11ax throughput comparison of OFDM and OFDMA. As OFDMA reduces the MAC contention and the PHY preamble overhead, the throughput obtained with OFDMA is greater than that obtained using OFDM. When only AP is configured as the transmitter, the DL throughput shows no change for OFDM. However, when both the AP and the stations are configured as the transmitters, the DL throughput shows a steady decline. This is because the AP gets fewer opportunities to transmit as the number of transmitting stations increase in the network.
This example enables you to model a DL OFDMA communication in a multinode IEEE 802.11ax network. The DL OFDMA support is added to the PHY and MAC library blocks. The application layer configuration allows you to enable multiple applications with same AC using different destination stations. Round-robin scheduling strategy is used to select stations for next transmission. The assignment of RUs is fixed based on the number of users. The plots confirm that the throughput at AP with OFDMA is greater than that obtained using OFDM.
Scheduling Stations for Transmission
This example uses round-robin scheduling algorithm to select stations for next transmission.
In a transmission, the allocation index defines the assignment of RUs. The allocation index is defined in Table 27-26 of [ 1 ]. For each 20 MHz subchannel, an 8-bit index describes the number of RUs, the size of RUs, and the number of users transmitted on each RU. In this example, the allocation of RUs to the DL stations is fixed based on the number of users as shown in this table. In both the above plots, the throughput drop for OFDMA from four stations to six stations can be affiliated to the RU size. Transmission time is shorter in a 52-tone RU as compared to 26-tone RU. When an MU frame is transmitted, all the PSDUs in the MU frame are padded to align at the same transmission time. The presence of 26-tone RU for six users results in a longer transmission time, thereby causing the throughput drop between four and six users.
|Number of stations||Allocation index||Sizes of RU (tones)|
The model used in this example implements four stations (allocation index 112). You can modify the station scheduling algorithm and RU allocation by updating the helper function roundRobinScheduler used by the
EDCA MAC block.
The example uses these helpers:
edcaFrameFormats.m: Create an enumeration for PHY frame formats.
edcaNodeInfo.m: Return MAC address of a node.
edcaPlotQueueLengths.m: Plot MAC queue lengths in the simulation.
edcaPlotStats.m: Plot MAC state transitions with respect to simulation times.
edcaStats.m: Create an enumeration for simulation statistics.
edcaUpdateStats.m: Update statistics of the simulation.
helperAggregateMPDUs.m: Aggregate MPDUs to form an A-MPDU.
helperSubframeBoundaries.m : Return subframe boundaries of an A-MPDU.
phyRx.m: Model PHY operations related to packet reception.
phyTx.m Model PHY operations related to packet transmission.
edcaApplyFading.m: Apply Rayleigh fading effect on the waveform.
heSIGBUserFieldDecode.m: Decode HE-SIG-B user field.
heSIGBCommonFieldDecode.m: Decode HE-SIG-B common field.
heSIGBMergeSubchannels.m: Merge 20MHz HE-SIG-B subchannels.
addMUPadding.m: Add multiuser PSDU padding.
macQueueManagement.m: Create a WLAN MAC queue management object.
roundRobinScheduler.m: Create a round-robin scheduler object.
calculateSubframesCount.m: Return number of subframes to be aggregated.
interpretVHTSIGABitsFailCheck.m: Interprets the bits in VHT-SIG-A field
rateAdaptationARF.m: Create an auto rate fallback (ARF) algorithm object.
rateAdaptationMinstrelNonHT.m: Create a minstrel algorithm object.
IEEE Std 802.11ax™-2021. IEEE Standard for Information Technology - Telecommunications and Information Exchange between Systems - Local and Metropolitan Area Networks - Specific Requirements - Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications - Amendment 1: Enhancements for High-Efficiency WLAN.
IEEE Std 802.11™-2020. IEEE Standard for Information Technology - Telecommunications and Information Exchange between Systems - Local and Metropolitan Area Networks - Specific Requirements - Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications.
Jiang, Tao, et al., editors. Orthogonal Frequency Division Multiple Access Fundamentals and Applications. Auerbach, 2010.