Performance and Power Consumption Analysis of IEEE802.11ah for Smart Grid

Abstract

IEEE802.11ah is a Wireless Local Area Network (WLAN) designed for the application of Internet of Things (IoT) and Machine to Machine (M2M), mainly used in sensor network, smart metering, car network, health care, and other emerging fields. IEEE802.11ah inherits the IEEE802.11n$\setminus$ac technology. At present, smart grid has completed the installation of optical fiber communication as its backbone network; WLAN can be used to build new wireless sensor network for smart grid by improving the transmission distance, speed, and power efficiency. The critical features of 802.11ah make it a powerful candidate for WLAN in smart grid, such as intelligent substation sensor network and automatic metering system (AMS). This paper simulates the new added highly robust 1MHz bandwidth and Modulation Coding Scheme (MCS) 10 in the 802.11ah physical layer and analyzes the coverage range and energy-saving performance of 802.11ah based on the simulation results. The analysis shows that the 802.11ah at 1 MHZ MCS 10 mode can obtain 2.5-3 dB gain. Combined with advantages of Sub-1GHz working frequency, 802.11ah could enlarge the coverage range by five times, compared to 2.4 GHz Wi-Fi. On the other side, 802.11ah module used in the smart grid can greatly reduce power consumption, especially in the AMS with a 1.1 kW.H power savings per year. 802.11ah not only provides the flexibility and low cost features of wireless communication, but also brings coverage and energy-saving performance improvements, which leads to good economic benefit.

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1. Introduction

IEEE 802.11ah is a wireless networking protocol published in 2017 called Wi-Fi HaLow as an amendment of the IEEE 802.11-2007 wireless networking standard [1]. It operates at the Sub-1 GHz (S1G) industrial, scientific, medical (ISM) radio-band [2]. Due to the lower center frequencies, more robust PHY layer, and enhancement on MAC layer protocol, the transmission range is extended to 1km, the data rates are at least 100 kbps, and the number of nodes permitted is raised up to 8191 [1, 3]. Benefiting from the lower power consumption, it can support the application of the Internet of Things (IoT) by creating large groups of STAs and sensors that cooperate to share signals [4]. It aims at providing connectivity to thousands of devices under one access point (AP).

Due to the advantages of wide coverage, flexible access, low investment, and maintenance costs, as well as good scalability [5], wireless communication has been widely used for many years. However, traditional grid does not prefer the wireless communication for its weakness of reliability. As the development of smart grid, demands for sensor network have been raised to support massive data collection for smart decisions. Therefore, combined with its advantages and improvement on reliability, wireless communication should have a priority for building new network for smart grid.

The networks in substation and automatic metering system (AMS) are most typical in smart grid. WLAN is suitable for the two scenarios by providing the connection between the sensor and the access point in the control room or between the meter and the concentrator. Because smart grid needs to realize better single hop coverage and faster reaction than the other IoT application, the WLAN should improve its transmission distance and speed in order to be admitted [6]. 802.11ah, which claims to extend the coverage to 1 km and provide at least 150 kbps data rate while maintaining a low power consumption, could be a competitive candidate for the new wireless communication of smart grid [7].

To discuss the feasibility of 802.11ah protocol used as a communication standard for smart grid, the data transmission features of the smart grid should be analyzed and compared to the specifications of 802.11ah. In the investigation, a simulation of the 802.11ah physical layer and a derivation of coverage range had been done to prove the feasibility. From the simulation results and analysis, 802.11ah can cover larger area than other 802.11 protocols while still maintaining a enough data rate. A further power consumption analysis was accomplished to prove economic benefit by adopting 802.11ah in smart grid.

2. Improvements on Physical Layer and Power Consumption

2.1. Physical Layer

In the physical layer, 802.11ah operates at the S1G. It not only supports the 2 MHz, 4 MHz, 8 MHz, and 16 MHz bandwidth transmission mode, but also adds 1MHz bandwidth with MCS0-rep2 to achieve >1km coverage range [1]. It also supports relaying to obtain further improvement on the coverage range [8]. Directional antenna is also supported to solve the hidden terminal problem.

The target spectrum of 802.11ah is as follows: 863-868.6 MHz (Europe), 950.8 MHz-957.6 MHz (Japan), 755-787 MHz (China), 917-923.5 MHz (Korea), and 902-928 MHz (USA) [1]. For example, the spectrum in China is shown in Figure 1. 802.11ah adopts OFDM to improve the transmission data rate. The subcarriers could be divided into 1 MHz and 2 MHz and above bandwidth system. For 2 MHz and above bandwidth, the distribution of subcarriers follows the rules of 802.11ac with one-tenth of the frequency. For 1 MHz bandwidth, 802.11ah utilizes 32 subcarriers and 32-point IFFT. It includes 1 DC component, 2 pilot components, 24 data carriers, and 5 zero components [3].

[figure omitted; refer to PDF]

The subcarrier spacing $\Delta f$ is 31.25 kHz, one-tenth of 802.11ac. The guard interval (GI) duration TGI is 8us and 4us for short GI, respectively. The OFDM symbol duration $T_{SYML}$ with long GI is 40 us and 36 us for short GI, respectively.

The modulation and coding scheme (MCS) of 802.11ah are presented in Table 1. Differing from 802.11ac, a robust mode MCS10 has been added.

Table 1

Modulation and coding schemes.

MCS	Mod	Rate	Data-Rate (kbps)
0	BPSK	1/2	300
1	QPSK	1/2	600
2	QPSK	3/4	900
3	16-QAM	1/2	1200
4	16-QAM	3/4	1800
5	64-QAM	2/3	2400
6	64-QAM	3/4	2700
7	64-QAM	5/6	3000
8	256-QAM	3/4	3600
9	256-QAM	5/6	4000
10	BPSK	1/4	150

2.2. Power Optimization Technology

The IEEE802.11ah standard defines two power consumption management modes, namely, activation mode and low power consumption mode. In the activation mode, the STA keeps the RF module in an open state, and the data can be continuously transmitted when there are upstream and downstream data operations. On the other hand, in low power mode, STA switches between hibernation and activation [2]. When hibernating, the STA completely shuts down the RF module and stops receiving signal; in this case, even if the AP has downstream data transmission to the STA, the data can only be cached by AP. When the STA wakes up, switches to the active mode, and sends the downstreaming request, the AP can send the cached data to the STA.

In the IEEE802.11 system, AP periodically broadcasts Beacon frames, and STA periodically examines the TIM IE in Beacon to check if there is data to be received. If so, a PS-Poll must be sent to request the AP to start a packet transmission. After completing the transmission, STA goes to sleep mode.

However, under this mechanism, problems arise when there are a large number of STAs in the network. The TIM IE Partial Virtual Bitmap of Beacon frames will become very long. If overmuch packets are cached in AP, many low power STA may not be able to complete the data transmission in a Beacon interval and always maintain activation patterns, which causes huge power consumption.

In order to solve this problem, IEEE802.11ah standard puts forward a new traffic information indicator (TIM) diagram and the Page Segmentation strategy, the AP change the virtual bitmap from one page into multiple pages, and each Beacon carries their corresponding Page Segmentation STA. A new Segment Count IE is introduced, containing the splitting distribution and boundary information for each page segment.

DTIM Beacon is a new Beacon frame that contains the new TIM IE for grouping processing packets. When DTIM Beacon is broadcasted or multibroadcasted, all Group STA need to be woken up to see if there is cache data in the group. If the entire group does not have cached data, the whole group stays asleep throughout the DTIM cycle until the next TIM Beacon arrives. DTIM cycle is an integer multiple of TIM, giving STA more time to sleep, resulting in a significant reduction on power consumption.

In addition, 802.11ah introduces two other optimization strategies [2].

Maximum Sleep Time Expansion: use the maximum two bits of the maximum idle cycle field as a scaling factor .00,01,10,11, which represents the scale factor of 1,10,1000 and 10000. The maximum sleep time can be extended up to 2500 times. Second, allow the AP to set the maximum free period for different values at different STAs, and the STA can request the allocation of specific values in the associated request.

Target Wakeup Time (TWT): TWT mechanism allows AP to arrange STA wakeup time, which makes different stations wake up at different time, thereby reducing competition and collision, improving the system efficiency and also greatly reducing the power consumption of the STA. Each time the STA wakes up for several TWT Service Periods (SP), the station sends data through the traditional channel access mode during the TWT SP. STA can stay awake outside of TWT SP time slots, and may even receive the Beacon frame when sleeping. 802.11ah also proposes TWT grouping mechanism, AP builds TWT group, and notifies STA grouping information.

3. Demands of Smart Grid

As the development of smart grid, the communication network has been getting increasing attention. Compared with the wired communication technology, wireless communication technology has the advantages on mobility, simplicity, and flexibility of installation, cost reduction, and expandability.

The emerging M2M wireless communication standards, IEEE 802.11ah, are expected to be used in intelligent substation sensor network and AMS, which is the most common WLAN in smart grid.

3.1. Sensor Network in Substation

Online monitoring is one of the most important applications in power system. As the development of the online monitoring technology, it has been widely admitted and adopted in condition overhaul in the substation [5, 9].

The online monitoring system must include large number of diverse sensors, like temperature sensor, humidity sensor, CT sensor, PT sensor, vibration sensor, stress sensor, etc. 802.11ah, with the characteristics of long coverage range, low power consumption, large number of access nodes, and fairly high transmission data rate, is very suitable for the communication network of online monitoring in substation to form a connection among the sensor nodes. 1km communication distance guarantees the whole coverage for one substation. 8000+ number of stations guarantees that the capacity for new sensors is plenty. Low power consumption provides the possibility of ten years' duration with small battery. High data rate provides capability for some light video stream nodes. With some modified in the MAC layer, 802.11ah will meet the real-time requirements for industrial application.

3.2. Automatic Metering System

Traditional power meter reading is simple due to the small amount of transmission data. The requirement for real-time transmission is not urgent [10].

The development of smart grid requires real-time mutual interactions between grid and users. Grid needs more data from users to regulate the generation and consumption. Therefore, a new communication system for the automatic metering system, with higher transmission speed, real-time performance, and reliability, should be deployed. For example, traditional AMS only needs to update the user data once in a day, but future AMS needs to update once in 5 minutes. Only in this way is the gird able to realize new function, such as demand response, relying on the real-time data collected.

Now in China, Broadband Power Line Communication (PLC) is being rapidly applied. Compared to the narrowband PLC, Broadband PLC has raised the transmission data rate from 5 kbps-50 kbps [11] to 100 kbps-2 Mbps, which is a great promotion. But similar to narrowband PLC, broadband PLC malfunctions when noise or impedance mismatch on power lines becomes too big, which always happens when power electronic devices, such as electronic vehicles, are connected to grid. Thus, wireless communication could act as a backup to avoid problems above. The present main wireless communication protocol in China is micropower wireless communication, which only supports a 1-20 kbps transmission data rate. 802.11ah supports 150 kbps at least when using the most robust mode by adopting OFDM and repetition technology. It also improves the real-time performance and reliability at the same time. These features of 802.11ah provides great potential for using it in the AMS communication of smart grid.

4. Simulation of PHY Layer

According to the analysis above, for smart grid application, the transmission data rate of 802.11ah 1 MHz mode meets the demands for most of the sensor networks and AMS. And the robustness provided by the 1 MHz MCS10 could also promote the reliability of grid communication system. Therefore, 1 MHz mode is simulated in this paper.

This paper use Simulink® tools to simulate the physical layer of 802.11ah 1 MHz mode. The communication system toolbox in the Simulink has also been used.

4.1. Structure of PHY Layer Simulation

The structure of 802.11ah physical layer [1, 3] is as in Figure 2, which includes blocks as PHY service data unit (PSDU) generator, MCS setting, transmitter, receiver, error rate calculation (ERC), and signal to noise (SNR) calculation.

[figure omitted; refer to PDF]

PSDU generator block uses a random integer generator to simulate the data from the MAC layer. MCS setting block controls the modulation scheme. According to the MCS chosen, transmitter block processes the data and passes it to channel model block which adds the channel affection to the signal; receiver block processes the data from the channel model block in a reverse flow. ERC block at the end of the data link provides the bit error rate (BER) by delaying the original data from the PSDU block and comparing it to the output data of the receiver block. SNR estimation block calculates the SNR from the final signal. The transmitter and receiver are the critical blocks of the whole module.

The structure of the transmitter block is shown in Figure 3. It includes modulation, pilots inserting, zeros adding, IFFT, and cyclic prefix appending blocks. The data stream follows the flow of the 802.11ah standards.

[figure omitted; refer to PDF]

The structure of the receiver block is shown in Figure 4. It includes time domain synchronizing, FFT, frequency domain synchronizing, and demodulation blocks.

[figure omitted; refer to PDF]

4.2. Structure of Repetition Module in MCS 10

The IEEE802.11ah provides two transmitter models. One is the regular nonrepetition MCSs, which is consistent with the IEEE802.11ac transmitter [1].

The second type of transmitter model is MCS0-rep2 model, named MCS 10 [1, 10]. As the new scheme proposed, the purpose of this model is to improve the coverage of both indoor and outdoor scenes by using repetition technology when guaranteeing a 150 kbps transmission speed.

The most important feature of MCS 10 is the repetition mechanism adopted in the 24 data subcarriers. The realization by the transmitter is to place the copy of the front 12 bits to the 12 bits behind. On the receiver side, a comparison between upper 12 bits and down 12 bits is made, in order to further improve the transmission reliability.

According to the standard definition, the transmitter of MCS 10 inserts the repetition module after the encoder module and before the interleaver module, as shown in Figure 5. Formula (1) shows the logic operation.$$\begin{array}{}\text{(1)}& R_{\mathrm{24}}=\left\{R_{\mathrm{12}},xor\left(R_{\mathrm{12}},\left[\mathrm{1,0},\mathrm{0,0},\mathrm{0,1},\mathrm{0,1},\mathrm{0,1},\mathrm{1,1}\right]\right)\right\}.\end{array}$$

[figure omitted; refer to PDF]

The receiver of MCS 10 receiver inserts the derepetition module after the deinterlever module and before the Viterbi decoder module, as shown in the Figure 6. Formula (2) shows the logic operation.$$\begin{array}{}\text{(2)}& R_{\mathrm{12}}=\frac{R_{u\mathrm{12}}+\left(\left|R_{d\mathrm{12}}\right|\times \left\{xor\left[\left(\mathrm{s}\mathrm{i}\mathrm{g}\mathrm{n}\left(R_{d\mathrm{12}}\right)+\mathrm{1}\right)/\mathrm{2}\right],\left[\mathrm{1,0},\mathrm{0,0},\mathrm{0,1},\mathrm{0,1},\mathrm{0,1},\mathrm{1,1}\right]\right\}\right)}{\mathrm{2}}.\end{array}$$

[figure omitted; refer to PDF]

4.3. Simulation Methods

In smart grid, the reliability of the communication has higher priority than the transmission data rate; therefore 16-QAM, QPSK, BPSK, and 1 MHz bandwidth will be enough in most of the applications. This paper simulates the performance of the physical layer in the case of 1 MHz bandwidth and MCS 0,1,2,3,4,10. The parameters of the simulation are listed in Table 2.

Table 2

Parameters of simulation.

Simulation	Parameter
MCS	0,1,2,3,4,10
Channel	AWGN+Multipath
SNR	(-5,0.5,20)
Code/Decode	BCC/Turbo
Bandwidth	1MHz
Synchronization	Ideal
Frequency Offset Correction	Ideal
Data Length	1440
Antenna	SISO

In the simulation, the Channel Model is AWGN with multipath, SNR is from -5 to 20 with a step of 0.5, code/decode adopts BCC/Turbo, synchronization and frequency offset correction are assumed to be ideal, data length is 1440 which is 20 symbols, and antenna mode chooses SISO.

A Matlab  .m script runs the simulation, records all the BER results under different conditions, and plots the results in one figure for analysis.

5. Results and Analysis

5.1. BER Statistics

The BER statistics versus the SNR for different MCS and 1 MHz bandwidth are shown in Figure 7. It is clear that the tolerance to SNR goes lower when more complicated modulation scheme is chosen.

[figure omitted; refer to PDF]

When MCS is 4, modulation is 16-QAM, code rate is 3/4, and the BER reaches 10-1 when SNR equals 13.5 dB. In most applications of smart grid, the SNR cannot reach 15 dB; therefore it is concluded that MCS 4,5,6,7,8,9 are not suitable for the smart grid for lack of tolerance to SNR.

According to the trend of the data, when SNR is good enough, the BER for different MCSs is too small to tell a performance difference. But when the SNR becomes lower, the effects could be discovered. There is about 3 dB improvement when MCS moves one step in the robust direction.

According to experience, BER equals 20% is set to the limit of malfunctions, and the SNR can reach a practical value of 10 dB in smart grid. When MCS equals 0,1,2, and 10, it satisfied the requirements. According to Table 1, 802.11ah could provide transmission capability of 150 kbps, 300 kbps, 600 kbps, and 900 kbps. This conclusion of transmission data rate is similar to the result of broadband PLC field test.

In the scheme of MCS 0, the most robust scheme without repetition, the BER will reach the limit when SNR reduces to 0. This paper also simulates the scheme of MCS 10, which applies the repetition. From result shown in Figure 4, a 2.5-3 dB improvement has been found compared to MCS 0 when the SNR is smaller than 0. When the SNR restores to 2-2.5 dB, there is no difference between MCS 10 and MCS 0.

5.2. Coverage Analysis

In the 802.11ah communication system, link budget can be expressed with formula (3)[4, 7], where $P_{RX}$ is the receiving power, $P_{TX}$ is the transmitting power, $G_{RX}$ and $G_{TX}$ are the antenna gain of receiver and transmitter, $L_{RX}$ is the receiver system loss, $L_{TX}$ is the transmitter system loss, and $PL(f,d)$ is the path loss.$$\begin{array}{}\text{(3)}& P_{RX}=P_{TX}+G_{TX}-L_{TX}-PL\left(f,d\right)+G_{RX}-L_{RX}.\end{array}$$

If we neglect system losses $L_{RX}$ and $L_{TX}$ and take fade margins, SNR, and thermal noise power density into account, formula (4) is obtained [4, 7].$$\begin{array}{}\text{(4)}& R_{dB}\left(f,d\right)=P_{TX}+G_{TX}-PL\left(f,d\right)-FM\left(d\right)+G_{RX}-{\left(\frac{S}{N}\right)}_{dB}+N_o.\end{array}$$

The SNR can be expressed as $$\begin{array}{}\text{(5)}& {\left(\frac{S}{N}\right)}_{dB}={\left(\frac{E_b}{N_o}\right)}_{dB}+\mathrm{10}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}\left(\frac{R}{B}\right).\end{array}$$

By substituting formula (5) into formula (4), we have$$\begin{array}{}\text{(6)}& R_{dB}\left(f,d\right)=P_{TX}+G_{TX}-PL\left(f,d\right)-FM\left(d\right)+G_{RX}-{\left(\frac{E_b}{N_o}\right)}_{dB}-\mathrm{10}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}\left(\frac{R}{B}\right)+N_o.\end{array}$$

In (6), $E_b$ is the required energy for each information bit transmission, $N_o$ is the thermal noise power density, $R$ is bit rate, and $B$ is system bandwidth.

Since there is currently no 802.11ah commercial product for testing, it is practical to estimate its coverage performance by comparing it with 2.4 GHz Wi-Fi. For example, in China, the transmitting power is 10 mW, and the working frequencies are 779-787 MHz. If using the most robust scheme, MCS 10, 1 MHz bandwidth and repetition mode are adopted.

$PL(f,d)$ can be expressed by formula (7), in which the $f_{MHz}$ is the working frequency in MHz and the $d_{km}$ is the transmission distance in kilometers.$$\begin{array}{}\text{(7)}& PL\left(f,d\right)=\mathrm{32.44}+\mathrm{20}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}{f}_{MHz}+\mathrm{20}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}{d}_{km}.\end{array}$$

Therefore, the corresponding difference value (dB) of each parameter compared with 2.4 GHz Wi-Fi can be expressed as$$\begin{array}{}\text{(8)}& \Delta P_{TX}={\left(\mathrm{10}mW\right)}_{dBm}-17dBm,\text{(9)}& \Delta PL\left(f,d\right)=\mathrm{20}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}{f}_{MHz,ah}-\mathrm{20}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}{f}_{MHz,\mathrm{2.4}G},\text{(10)}& \Delta {\left(\frac{S}{N}\right)}_{dB}=\mathrm{10}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}\left(\frac{R}{B_{ah}}\right)-\mathrm{10}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}\left(\frac{R}{B_{\mathrm{2.4}G}}\right).\end{array}$$

With the calculation of the above equations, the results are shown in the Table 3 [12]. The total improvement of 802.11ah compared with 2.4 GHz Wi-Fi is 13.8 dB. Formulas (11), (12), and (13) [4] approximately express the indoor and outdoor $PL\left(d\right)$. It is concluded that the path loss of both indoor and outdoor situation has an exponential relation to the extreme transmission distance. $$\begin{array}{}\text{(11)}& PL\left(d\right)=\mathrm{30.29}+\mathrm{20}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}d,\text{(12)}& PL\left(d\right)=L_{FS}=\mathrm{20}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}\left(\frac{\left(\mathrm{4}\pi fdf\right)}{c}\right)\hspace{1em}for\hspace{0.17em}\hspace{0.17em}d\le d_{BP},\text{(13)}& PL\left(d\right)=L_{FS}+\mathrm{3.5}\hspace{0.17em}\mathrm{l}\mathrm{o}{\mathrm{g}}_{\mathrm{10}}\left(\frac{d}{d_{BP}}\right)\hspace{1em}for\hspace{0.17em}\hspace{0.17em}d>d_{BP},\end{array}$$

Table 3

Improvements of 11ah in dBs compared to 2.4 GHz Wi-Fi.

Parameter	Improvement of 780 MHz 11ah Over 2.4 GHz	Critical Impact Factor
		11ah	WiFi
Transmit Power compared to 17 dBm	-7 dB	10 dBm	17 dBm
TX and RX antenna gain	0 dB	-	-
Free Space Path Loss	9.8 dB	780 MHz	2.4 GHz
Noise Bandwidth (1 MHz)	13 dB	1 MHz	20 MHz
Flat Fading	-4.5 dB	780 MHz	2.4 GHz
2x repetition coding	2.5 dB	MCS 10	-
Total	13.8 dB	-	-

13.8 dB improvement can be equivalent to about 5 times transmission distance. According to the field test experience of transformer substation, the transmission distance of 2.4 GHz Wi-Fi is about 30$~$50 m indoor and 100$~$200 m outdoor. Therefore, it can be inferred that the transmission distance of 802.11ah is about 150~250 m indoor, and about 500~1000 m outdoor, which is good enough for most of the scenes in smart grid.

5.3. Power Consumption Analysis

In the applications of AMS, in order to realize the demand response, the current metering frequency, one time per day, is required to upgrade to one time per 5 minutes. According to the electric power company estimation, each metering transmission for demands response has a quantity of 20k bits of data to report. If the transmission rate of 802.11ah is 100 kbps, assuming one concentrator manages up to 300 power meters, a 60-second duration, at most, is needed for data transmission, in which the communication module works at maximum power. Hence, a 802.11ah communication STA module will be in sleep mode for 80%, in receiving mode for 19.94%, and transmitting mode for 0.06% of the 5-minute period. As shown in the figure, the power consumption budget of the 802.11ah chip designed by the State Grid is shown in Table 4.

Table 4

Estimated power consumption of 11ah chip designed by state grid.

11ah Components		Power Consumption
TX	TX AFE	5 mW
	TX Power	10 mW
	TX Digital	0.8 mW
RX	RX AFE	5 mW
	RX Digital	1.2 mW
MCU(MAC,70 MHz)		15 mW
Total		37 mW
Sleep Mode		10 uW

The average power consumption of 11ah STA module could be calculated by (14), which is 309.8 mW.s in 5 minutes. It equals 0.024 W.h per day. $$\begin{array}{}\text{(14)}& P_{average}=P_{total}\times T_{tx}+\left(P_{rx}+P_{MCU}\right)\times T_{rx}+P_{sleep}\times T_{sleep}.\end{array}$$

Compared to the broadband PLC module with the transmission rate of the same 100 kbps. The power of STA module is 3 watts in maximum load. Using equation (x), it consumes 0.528 W.h per day. Using 802.11ah module, each module will significantly save about 0.5 Wh per day. In China, about 600 million smart meters have been installed, which could save up to 300k kW.h per day, and 1.1 billion kW.h per year.

In the application of intelligent substation sensor network, referring to industrial automation work patterns, 11ah communication module is in sleep mode for 99.8% of the time. In the remaining 0.2%, receiving takes 95.7%, transmitting takes 0.1%, and idle states takes 4.2%. One 2200mAh lithium-ion battery can be used for five years[2]. Because the substation will be maintained two times a year, 802.11ah module fully meets the demand as a sensor network node in intelligent substation.

6. Conclusion

According to the results and analysis above, it is shown that 802.11ah MCS 10 indeed improves the performance by raising the tolerance to SNR by 2.5-3 dB, which will benefit the distance and reliability of communication. Furthermore, except MCS 0,1,2,10, MCS 3,4,5,6,7,8,9 are not suitable for harsh communication condition.

When used in smart grid, 802.11ah is able to provide larger coverage range with a radius of up to 1 km and significant energy-saving results with great economic benefits.

Therefore, 802.11ah standard could be adopted by smart grid communication, but it is suggested to choose the MCS 0,1,2,10 to achieve compromise between transmission data rate and reliability.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

This work has been supported by the project of development on wireless communication chip of electric power system based on 802.11ah under Grant no. SGRIXTMMXS $[2015]$1128.

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