1. Introduction
The wide application of wireless private networks in power systems provides a convenient means of access for control services, such as distribution automation and the interaction of power supply, power grid, load, and energy storage, as well as management services, such as power consumption information collection, mobile operation, and video surveillance [
1,
2]. Power wireless private networks (PWPNs) have inherited the advantages of flexible networking, convenient construction, and mature application of the wireless network. Moreover, the special use of their frequency band, equipment, and network avoids the limitations of the wireless public network relating to bandwidth, delay, service interruption rate, security, and reliability. In addition, they can effectively supplement a wired transmission network and efficiently solve the “last kilometer” access problem of electric power communication and open up the “nerve endings” of the energy Internet of Things network, which has incomparable advantages over traditional wired communication and wireless public network communication systems [
3,
4].
In addition, with the replacement by clean and electric energies, as well as the in-depth promotion of energy reform, distributed photovoltaics, electric vehicle charging piles, and other services will experience explosive growth [
5]. Therefore, the interactive mode of power supply–power grid-load-energy storage will change, requiring an overall improvement of the control and perception ability of the distribution network, and of the quasi-real-time acquisition ability of the low-voltage power network (380 kV/220 kV), so as to promote a qualitative leap of the power grid operation level and service mode. The PWPN is an important technology to realize service access and collection at the end of the power grid. As a result, increasing attention has been paid to the establishment of power wireless communication broadband private networks based on private authorized frequency bands [
6,
7,
8,
9,
10]. Solar home systems (SHSs) with rooftop solar panels have proliferated in recent years. In [
11], International Electrotechnical Commission (IEC) 61850-based modeling of SHS and smart meters was presented to facilitate their integration into power systems and to ensure interoperability among different devices. Smart distribution systems are crucial for realizing an envisioned smart grid. In [
12], an assessment of WLAN performance for IEC 61850-based smart distribution substation applications was presented.
Research has also been conducted on powered private networks. In our previous work [
13], we analyzed the requirements of power grid basic services for time-division long-term evolution (TD-LTE) wireless private networks and the effect of the collection frequency on the transmission rate demand. Moreover, the latency in the distribution automation service was also simulated. In [
14], we analyzed the coverage and capacity of LoRa and narrowband Internet of Things (NB-IoT). In [
15], a dynamic uplink resource scheduling algorithm was proposed on the basis of a software-defined optical network (SDON). The priority of the service was evaluated before the resource scheduling was carried out. According to the characteristics of orthogonal frequency division multiplexing (OFDM) resource allocation, and the numerical control separation and programmable features of SDON, different scheduling methods were designed for different services.
At present, domestic spectrum resources are scarce in China, and the main frequency bands have been occupied by various services. The available frequency bands for power wireless private networks are 1800 MHz and 230 MHz; 1800 MHz has other sporadic applications, so it can only be authorized for use in PWPNs after frequency clearing. There are two independent PWPN systems in these two bands: LTE 1800, which is similar to the public LTE network, and LTE 230, which is also similar to the LTE system but with a difference in subcarrier spacing. Each has advantages and disadvantages, so the two systems are better used simultaneously. This can improve the reliability and coverage according to the current research. However, this would increase the cost since two independent core networks are needed, thus requiring a significant amount of hardware. Therefore, understanding how to integrate these two private networks effectively is a challenge. In this paper, we discuss the core network and access network integration of LTE 1800 and LTE 230 and analyze the capacity of the integration system. For the core network, we discuss the integrated core network structure to combine the same unit in the two private networks. For the access network, we propose a multinetwork integration controller to help a device access the optimal cell.
In
Section 2, we briefly describe the high-level design of the PWPN and compare LTE 1800 and LTE 230. In
Section 3, we propose the high-level design for core network integration. In
Section 4, we propose the design for access network integration.
Section 5 presents the conclusions.
3. Integration of the Core Network
Figure 3 shows the structure of the traditional core network and access network that are used in current commercial LTE networks. Since LTE 230 is based on the LTE system and its core network is nearly the same as that for the public LTE network (except for the details of non-access protocols), we can integrate these two systems’ core network hardware to reduce the cost and make the management easy.
Firstly, let us review the traditional core network, especially the functionality of each component. The network between base stations and the devices is called the access network and is wirelessly connected. The remaining is called the core network, which is always wire connected. In the current core network, control and transmission separation is used to increase the adaptivity to different kinds of transmission services. In the control plan, the mobility management entity (MME) is mainly used to manage the mobility of the access devices, and the home site home subscriber server (HSS) is used to manage the registration and original information of users [
17].
In the data plane or user plane, there are the service gateway and packet gateway. The service gateway (S-GW) is a node connecting the access network to the core network. It acts as a mobility anchor when access devices move between base stations, as well as a mobility anchor for other 3GPP technologies. The collection of information and statistics necessary for charging is also handled by the S-GW [
17].
The packet gateway (P-GW) connects the core network to the Internet. It manages the IP allocation of the access devices and the quality of service enforcement according to the policy controlled by the policy and charging rules function (PCRF). The P-GW is also the mobility anchor for non-3GPP radio-access technologies to connect to the core network [
17].
As shown in
Figure 4, the core network integration controller includes an S1-MME access controller and separator and an S1-U access controller. These two access controllers and the separator module are accessed to enhance the interaction ability of the dual-band base station control signal and data transmission ability. The general ideas are as follows.
(1) The MME function is realized by the LTE 230 and LTE 1800 core network, and the SGW/PGW adopts an independent protocol stack.
(2) SGW/PGW adds a transmission separator and router controller to distinguish different user equipment (UE) categories and carry out different protocol stack branch processing.
(3) Access devices and base stations of different modes are distinguished and identified during access. Independent logic branches are used to deal with devices and base stations of different modes. The control signals of different modes are sent to different protocol stacks through the access controller and separator.
(4) The uplink and downlink service data are sent to the related protocol stack to complete transmission with the help of the transmission separator and router controller in the integrated S-P/GW.
4. Integration of the Access Network
4.1. Synchronization Signal of TD-LTE 1800
In the LTE 1800 system,
is defined as the basic unit of time. One radio frame occupies
in the time domain, which is divided into two half-frames of length 5 ms. One half-frame consists of five subframes. Each subframe is divided into two slots of length 0.5 ms. For normal cyclic prefix (CP), one slot consists of seven OFDM symbols.
Figure 5 shows the frame structure of LTE 1800 [
18].
Since the frequency allocation for the power industry is a nonpairing spectrum in China, the TDD mode is used in PWPNs. The uplink–downlink configuration can be adjusted flexibly according to
Table 2, where D and U represent downlink and uplink subframes, respectively. S denotes a special subframe with the three fields DwPTS, GP, and UpPTS, which are used for downlink transmission, protection between D and U, and uplink transmission, respectively.
In the frequency domain, 12 subcarriers form a unit resource taking up 180 kHz bandwidth in total. A primary synchronization signal (PSS) is generated by the Zadoff-Chu (ZC) sequence in the frequency domain, which can be written as follows [
19]:
where
is the root of the ZC sequence corresponding to
. In the frequency domain, the sequence
is mapped to the resource elements according to
A secondary synchronization signal (SSS) is generated by an interleaved concatenation of two length-31 binary sequences. The two concatenated sequences can be written as
where
. Terms
and
are decided by cell-identity group
according to
where
and
are defined as
and where
, is defined by
with initial conditions
.
and
are scrambling sequences decided by
as
where
, is defined by
with initial conditions
.
and
are also scrambling sequences, which can be written as
where
, is defined by
with initial conditions
.
The sequence is mapped to resource elements according to
Figure 6 illustrates the distribution of the PSS and SSS in the TD-LTE 1800 subframe. The gap between the SSS and PSS is three OFDM symbols.
4.2. Synchronization Signal of LTE 230
In the LTE 230 system,
is defined as the basic unit of time. One radio frame occupies
in the time domain and consists of five subframes of length 5 ms. The frame structure is shown in
Figure 7.
Subframe 0 is the downlink subframe, while Subframes 2, 3, and 4 are uplink subframes. Subframe 1 is a special subframe with the three fields DwPTS, GP, and UpPTS, whose functionalities are the same as in LTE 1800. The supporting uplink–downlink configurations are listed in
Table 3.
A physical channel of length 25 kHz in frequency is defined as a subband, which can be classified as a synchronized subband, broadcast subband, or service subband.
In comparison with LTE 1800, there is no difference in the generation of the original 62-point sequence in the frequency domain. The difference is in the way of mapping the sequence to resource elements given LTE 230’s small bandwidth.
The PSS and SSS use the same method to solve this problem. The 62-point sequence is divided into seven parts with lengths . Each part is mapped to an OFDM symbol separately. For the PSS, the sequence is mapped to the resource elements according to
For the SSS, the sequence is mapped to resource elements according to
Then, 64-point IFFT is operated in each OFDM symbol to transform frequency domain data into time domain data. The time domain signal is finally generated by connecting the seven parts in order, with a length of 448 points.
Figure 8 illustrates the distribution of the PSS and SSS in an LTE 230 subframe.
4.3. Downlink Synchronization and Cell Search
In the LTE 1800 system, the traditional PSS detection method calculates the correlation between the received signal and the three local sequences separately [
20]. The index of the local sequence which has the maximum correlation is
. The corresponding time is the timing point. According to the mapping location relation between the PSS and SSS, the SSS can be found easily in the time domain. The most commonly used SSS detection method is working backwards according to the generation rule of the SSS sequence in the frequency domain. In this way, the intermediate parameters
and
can be acquired, which can decide
.
In the LTE 230 system, the proposed PSS detection method calculates the correlation between the received signal and the three local sequences separately. The index of the local sequence which has the maximum correlation is . The corresponding time is the timing point. According to the mapping location relation between the PSS and SSS, the SSS can be found easily in the time domain. Due to the special signal mapping form, the 448-point SSS in the time domain should be firstly transformed into a 62-point original sequence in the frequency domain. The most commonly used SSS detection method is working backwards according to the generation rule of the SSS sequence in the frequency domain. In this way, the intermediate parameters and can be acquired, which can decide .
Figure 9 shows the simulation results of the timing performance of LTE 1800 and LTE 230. The simulation parameters for LTE 1800 were as follows: the subcarrier spacing was
kHz, the length of the ZC sequence was 63, the root of the ZC sequence was 29, the synchronization signal period was 5 ms, and the Rayleigh channel was used. When the timing estimation error is larger than 1 us, we call it a timing detection error. The simulation parameters for LTE 230 were as follows: the subcarrier spacing was
kHz, the length of the ZC sequence was 63, the root of the ZC sequence was 29, the synchronization signal period was 25 ms, and the Rayleigh channel was used. When the timing estimation error is larger than 7 us in the LTE 230 system, we call it a timing detection error.
From
Figure 9, we can see that when the received SNR is larger than 1 dB, the timing error of LTE 1800 is smaller than 1%. For LTE 230, about 7 dB is needed to guarantee that the timing error rate is less than 1%. Note that the pathloss values of LTE 230 and LTE 1800 are different with the same propagation distance. The pathloss of LTE 230 is smaller than that of LTE 1800 and the fading for these two systems is independent, so we can choose the better mode with higher detection performance as the transmission mode for a given time, such as the coherent time of the channel. For example, when the received SNR of LTE 230 is 6 dB larger than it is in LTE 1800, then the device will choose LTE 230 as its communication mode in the following transmission. The received SNR can be one of the criteria used to determine which mode will be active. The details of the mode selection will be discussed in the next section.
4.4. The Access Network Integration Controller
As shown in
Figure 10, on the basis that we do not change the existing LTE 230 and LTE 1800 devices, the addition of a multinetwork integration controller can be used to help a device select the appropriate network for communication. The advantage of using an independent controller is that it does not need to interface with the original device. The access network integration controller only selects the equipment and is not responsible for the transmission of the data link, which is also in line with the design concept of control-transmission separation. The integration controller also has the function of simple signal reception and detection, which mainly identifies the available networks and estimates the signal quality, and only receives the downlink synchronization signal, control signal, and broadcast signal. Then, according to the actual situation of the power service, it chooses the network mode. The access network integration controller can detect the signal quality in real time or periodically and make optimal network judgments in real time.
Figure 11 shows the procedure of mode selection at the device side. The main functionalities and the procedure of the access network integration controller are described as follows.
(1) Identification of Accessible Cells.
In order to detect and identify heterogeneous power wireless networks, it is necessary to extract feature information that can uniquely distinguish specific networks. Since both LTE 230 and LTE 1800 are based on LTE technology, the cell ID detected from the PSS and SSS can be used as the feature information. Whether these two modes exist or can be accessed is based on whether the device can accurately decode the information on the physical broadcast channel (PBCH). If the related PBCH can be decoded, it means that this mode exists, and vice versa. Another function of decoding the PBCH is to collect access information of the accessible network, such as the bandwidth, control channel information, etc., so as to estimate the load rate of related cells and detect the channel quality. The detection of the PSS and SSS can be realized based on correlators described in the previous section, and the decoding of the PBCH needs blind detection.
(2) Detection of Channel Quality
In order to select the appropriate network for access, it is necessary to estimate the signal strengths of the different networks, and parameters such as the receive signal strength indicator (RSSI) and SNR can be estimated according to the PSS, SSS, and PBCH. The estimated channel quality can be used for mode selection as one of the measurement basics.
(3) Estimation of the Cell Load Rate
After detecting the PSS, SSS, and PBCH of the corresponding mode, the integration controller can speculate the physical resources for the physical downlink control channel (PDCCH). The detection of the number of PDCCHs is used as an index of the load rate of the current network, which can then be used to describe the busyness degree of the network and can also be used as one of the measurement basics for mode selection.
(4) Mode Selection
Mode selection or network selection is a comprehensive tradeoff process; the factors to be considered include the channel quality, cell load rate, and the type of power service transmitted. When taking the channel quality as the measurement standard, the selection of the switching threshold is very important. We can select the threshold through simulations or practical experience. When taking the cell load rate as the measurement standard, it is necessary to consider different load balancing algorithms, such as the polling method, hash method, and so on. When taking the type of power service as the measurement standard, it is necessary to use LTE 230 as the fallback, and the system chooses LTE 1800 as the preferred access network by default. When the narrowband service is transmitted, it can be actively returned to the LTE 230 system for communication.
4.5. Performance of the Integrated Network
Figure 12 and
Figure 13 show the transmission data rate comparisons between LTE 230 and LTE 1800. The simulation parameters were as follows: the transmitting power of the LTE 230 base station was 37 dBm, the transmitting power of the LTE 1800 base station was 49 dBm, the transmitting power of the device was 23 dBm, the system bandwidth was 1 MHz for LTE 230 and 20 MHz for LTE 1800, the height of the base station antenna was 45 m, the height of the device antenna was 1.5 m, the noise power spectrum density was -174 dBm/Hz, the noise figure was 9 dB for the device and 5 for the base station, and the gap between the real transmission rate and the Shannon capacity was assumed to be 6 dB [
13,
21].
We can see that there is a cross point between LTE 230 and LTE 1800. This means that after we integrate LTE 1800 and LTE 230, the transmission data rate will increase and will be determined by the better system at a given distance. For example, in the suburban area, if the device is 0.5 km away from the base station, it will use LTE 1800, which has a transmission rate much higher than that of LTE 230, as its communication mode. On the contrary, if the device moves to a place which is 8 km away from the base station, it will change to the LTE 230 mode to achieve a high transmission rate.