CN102595580A - Energy conservation method for multi-access internet - Google Patents

Abstract

The invention discloses a multi-access network energy-saving method, which mainly solves the energy-saving problem of the multi-access network in wireless communication. The implementation steps are: (1) the joint resource management JRRM functional entity in the multi-access network sends a resource reporting request to each network; (2) after receiving the resource reporting request from the JRRM functional entity, the base station of each network collects the resources available in the network. (3) After receiving the resource status indication message, the JRRM functional entity integrates all available resource information and calculates the optimal transmission of each network when the total power is minimized (4) Using the optimal transmission rate of each network to calculate the optimal distribution ratio; (5) According to the optimal distribution ratio, the data is distributed to the corresponding network for concurrent transmission. The method can effectively improve the energy-saving effect of the multi-access network without changing the normal operation of the base station.

Description

Energy saving method for multi-access network

technical field

The invention relates to the field of wireless communication, in particular to power saving during concurrent transmission of multi-access networks in green communication, and specifically to a method for saving energy consumption through concurrent transmission in multi-access networks.

Background technique

With the development of wireless communication networks, the fourth generation communication system will provide us with ubiquitous high-speed data access services. In order to provide this kind of service, on the one hand, operators need to use MicroCell/Femeto Cell with a smaller coverage area for network deployment, which means that more base stations need to be deployed; on the other hand, multiple communication networks of different standards will simultaneously cover The same physical area, as shown in Figure 1. This area is jointly covered by macro stations and micro stations, and users can access multiple networks. Dense network deployment and overlapping coverage of multiple networks make the energy consumption of the entire network increasingly high. The current information and communication technology industry has become the fifth largest energy-intensive industry. Its energy consumption accounts for 2%-6% of the global total energy consumption, and the greenhouse gas emissions caused account for 2% of the global total emissions. An ordinary base station The power consumption is 2.7 kWh.

Although the bandwidth of the wireless network is growing rapidly, the profit of the operator is growing slowly, and it is becoming more and more difficult to obtain greater profits by providing users with higher bandwidth. Therefore, reducing operating costs has become one of the important ways for operators to make profits. At present, half of the operating costs of operators come from the cost of equipment energy consumption. Foreign mainstream operators have begun to pay attention to the power consumption of wireless base stations, and have promised to reduce carbon dioxide emissions by 50-80% by 2020.

The propagation of wireless signals has become an important part of the energy consumption of wireless networks. For every 1 watt of signal transmitted by the base station, about 3.5 watts of energy needs to be input into the linear power amplifier LPAs. How to make the energy consumption of transmission more efficient has become a green communication key issues. Existing research on energy saving mainly focuses on directly turning off redundant base stations or blocking carriers to achieve energy saving. Although this can achieve energy saving, it will increase the call loss rate of users at the cost of sacrificing user communication reliability. , seriously deteriorating the user's service experience. Therefore, in a scenario where users are concentrated and highly active, the business demand is large, and the data transmission rate is high, as the transmission rate increases, the power consumption will increase sharply, and the above method of turning off redundant base stations cannot be applied.

Contents of the invention

The purpose of the present invention is to solve the problem of large energy loss caused by a sudden increase in power consumption when the transmission rate increases, and proposes a multi-access network energy-saving method to improve energy usage efficiency through concurrent transmission in heterogeneous network scenarios, and realize energy saving.

In order to achieve the above object, the present invention comprises the following steps:

(1) The JRRM functional entity in the multi-access network sends a resource report request message to each network in the multi-access network;

(2) After receiving the resource report request message of the JRRM functional entity, the base stations of each network in the multi-access network collect the idle resource status information that can be used by the multi-mode terminal MUE in each network, and generate a resource status indication message to report to JRRM functional entities;

(3) After receiving the resource status indication message reported by each network base station, the JRRM functional entity integrates all available resource information, and calculates the optimal transmission rate of each network when the total power is minimized;

$\mathrm{<span\; class="notranslate">\; min</span>}\mathrm{<span\; class="notranslate">\; P</span>}<span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; K</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; K</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\frac{{\mathrm{<span\; class="notranslate">\; r</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>}{{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; /</span>{\mathrm{<span\; class="notranslate">\; g</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; )</span>$

$\mathrm{<span\; class="notranslate">\; the\; s</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \&le;</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; K</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; r</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; ,</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

0≤r _i (t)<r _iMAX (t)

Wherein, K is the number of networks in the multi-access network;

P is the total power consumption during transmission, in watts;

P _i is the power consumption during the transmission of the i-th network, the unit is watts, and the value of i ranges from 1 to K;

r(t) is the total transmission rate;

r _i (t) is the transmission rate assigned by the i-th network;

r _iMAX (t) is the maximum transmission rate that the i-th network can be used by the multi-mode terminal MUE;

N _0i is the noise power spectral density of the channel provided by the i-th network;

B _i is the channel bandwidth provided by the i-th network;

g _i is the channel gain of the channel provided by the i-th network;

(4) Utilize the optimal transmission rate of each network calculated in step (3), calculate the optimal shunt ratio;

${\mathrm{<span\; class="notranslate">\; \&phi;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; r</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; ,</span><span\; class="notranslate">\; (</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; K</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; \&phi;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; ,</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

Wherein, K is the number of networks in the multi-access network;

Φ _i is the shunt ratio of the i-th network, and the value of i is 1 to K;

r(t) is the total transmission rate;

r _i (t) is the transmission rate assigned by the i-th network;

(5) According to the optimal distribution ratio calculated in step (4), the downlink data of the multi-mode terminal MUE is distributed to the corresponding network for concurrent transmission.

Compared with the existing energy-saving technology, the present invention has the following advantages:

1) The power utilization rate of the network side is high.

The present invention obtains the resource states of multiple networks through the JRRM functional entity, integrates all the resources that can be used by the MUE, reflects the relationship between the total power consumed and the transmission rate of each network through the optimization equation, and compares the transmission rates assigned to each network Optimizing can improve the power utilization rate of the network side, so as to minimize the total power consumption.

2) Do not change the normal operation of the base station.

The invention utilizes multiple networks for parallel transmission, without shutting down the base station or blocking part of the carriers of the base station, so that the base station can work normally.

3) Guarantee the quality of user experience QoE.

The current energy-saving methods for wireless networks are all based on turning off the base station or blocking the carrier. This method will increase the call loss rate of users, and even prevent some users from receiving normal services, seriously affecting the quality of user experience. QoE, this method does not change the normal operation of the base station, thereby ensuring the quality of user experience QoE.

Description of drawings

FIG. 1 is a schematic diagram of an existing multi-access network;

Fig. 2 is a concrete application scene of this method;

Fig. 3 is a flowchart of a method for energy saving of concurrent transmission.

Detailed ways

In order to further clarify the concurrent transmission energy-saving technology proposed by the present invention, a specific description will be given below in conjunction with FIG. 2 and FIG. 3 .

As shown in Figure 2, the scenario used in the present invention includes a multi-mode terminal MUE, two base stations BS1, BS2, a joint resource management JRRM functional entity, a core network CN and a server. The areas covered by the base stations BS1 and BS2 are cells CELL1 and CELL2 respectively, and the area where the multi-mode terminal MUE is located is simultaneously covered by these two base stations. The multi-mode terminal MUE accesses the base stations BS1 and BS2, and initiates a service request to the server in the core network CN. After receiving the service request, the server generates service response data and sends it back to the MUE. The service response data reaches the JRRM function through the transmission of the core network CN After the entity, start concurrent transmission, and divide the business response data into two wireless networks for transmission.

Referring to Fig. 3, the specific steps of the present invention for performing concurrent transmission in the scene of Fig. 2 are as follows:

Step 1: The joint resource management JRRM functional entity monitors and records the transmission rate of service response data, and sends a request message to base stations BS1 and BS2, requesting to report the available resources of each cell. The request message includes available channel bandwidth, noise power spectral density, The channel gain and the maximum transmission rate that can be used by the multi-mode terminal MUE are used to generate the resource amount and channel state available for each cell.

Step 2: After receiving the resource reporting request message from the JRRM functional entity, the base stations BS1 and BS2 monitor their respective channel states, update available resources, mark resources that can be used by the MUE, and report available resource information to the JRRM functional entity, including the available resources. Channel bandwidth, noise power spectral density, channel gain and the maximum transmission rate that can be used by MUE.

Step 3: After the JRRM functional entity receives the available resource information reported by the base stations BS1 and BS2, it integrates all the available resources and channel status, and extracts the channel bandwidth, noise power spectral density, channel gain and the maximum The transmission rate, combined with the recorded service response data rate, is optimized through (3) formula to obtain the optimal data rate assigned to the base stations BS1 and BS2;

$\mathrm{<span\; class="notranslate">\; min</span>}\mathrm{<span\; class="notranslate">\; P</span>}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\frac{{\mathrm{<span\; class="notranslate">\; r</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>}{{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; 01</span>}}{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; /</span>{\mathrm{<span\; class="notranslate">\; g</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span><span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\frac{{\mathrm{<span\; class="notranslate">\; r</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>}{{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; 02</span>}}{\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; /</span>{\mathrm{<span\; class="notranslate">\; g</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>$

str(t)≤r ₁ (t)+r ₂ (t) 3)

0≤r _i (t)<r _iMAX (t), i=1, 2

Among them, P is the total power consumed by the two base stations;

P ₁ is the power consumed by the base station BS1;

P ₂ is the power consumed by the base station BS2;

r(t) is the total data transmission rate;

r ₁ (t) is the data transmission rate assigned to the base station BS1;

r ₂ (t) is the data transmission rate assigned to the base station BS2;

r _1MAX (t) is the maximum transmission rate that the base station BS1 can be used by the multimode terminal MUE;

r _2MAX (t) is the maximum transmission rate that the base station BS2 can be used by the multimode terminal MUE;

N ₀₁ is the noise power spectral density of the channel provided by the base station BS1;

N ₀₂ is the noise power spectral density of the channel provided by the base station BS2;

B ₁ is the bandwidth of the channel provided by the base station BS1;

B ₂ is the bandwidth of the channel provided by the base station BS2;

g ₁ is the channel gain of the channel provided by the base station BS1;

g ₂ is the channel gain of the channel provided by the base station BS2.

Step 4: Using the optimal transmission rates assigned to base stations BS1 and BS2 calculated in step 3, calculate the optimal distribution ratio Φ _i ;

${\mathrm{\&phi;}}_i=\frac{r_i\left(t\right)}{r\left(t\right)},i=\mathrm{1,2};$ φ ₁ +φ ₂ = 1 4)

Wherein, Φ ₁ is the shunt ratio assigned to the base station BS1;

Φ ₂ is the distribution ratio assigned to the base station BS2;

r(t) is the total data transmission rate;

r ₁ (t) is the data transmission rate assigned to the base station BS1;

r ₂ (t) is the data transmission rate assigned to the base station BS2.

Step 5: Distribute the service response data packets according to the optimal distribution ratio.

(5a) After the JRRM functional entity calculates the optimal distribution ratio Φ _i , the service response data packet is divided into two base stations BS1 and BS2 according to the optimal distribution ratio Φ _i ;

(5b) After receiving the service response data packets, the base stations BS1 and BS2 respectively send the service response data packets to the multi-mode terminal MUE to complete concurrent transmission.

Terminology Explanation

MUE: Multimode User Equipment, multimode terminal

QoE: Quality of Experience, user experience quality

JRRM: Joint Radio Resource Management, joint radio resource management

BS: Base Station, base station

Claims (4)

1. the power-economizing method in the multi-access network comprises the steps:

(1) each network in multi-access network of the joint resource management JRRM functional entity in the multi-access network sends the resource reporting request message;

(2) after the resource reporting request message of JRRM functional entity is received in the base station of each network in the multi-access network, collect in each network the idling-resource state information that can be used by multimode terminal MUE, and generate the resource status Indication message and report the JRRM functional entity;

(3) after the JRRM functional entity is received the resource status Indication message that each network base station reports, all available resource information are integrated, calculated the optimal transmission speed of hour each network of gross power of sening as an envoy to;

$\min P=\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}{P}_i=\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}(2^{\frac{r_i\left(t\right)}{B_i}}-1)(N_{0i}{B}_i/g_i)$

$s.t.r\left(t\right)\&le;\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}{r}_i\left(t\right),---1)$

0≤r _i(t)＜r _iMAX(t)

Wherein, K is the network number in the multi-access network;

P is a power consumption total in the transmission course, and unit is watt;

P _iBe the power consumption in i the network transmission process, unit is watt that the i value is 1 to K;

R (t) is total transmission rate;

r _i(t) be i the transmission rate that network is assigned to;

r _IMAX(t) be that i network can be by the peak transfer rate of multimode terminal MUE use;

N _0iIt is the noise power spectral density of i channel that network provides;

B _iIt is the bandwidth of i channel that network provides;

g _iIt is the channel gain of i channel that network provides;

(4) utilize each network optimal transmission speed of calculating in the step (3), calculate optimum shunting ratio;

${\mathrm{\&phi;}}_i=\frac{r_i\left(t\right)}{r\left(t\right)},(\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}{\mathrm{\&phi;}}_i=1),---2)$

Wherein, K is the network number in the multi-access network;

Φ _iBe the shunting ratio of i network, the i value is 1 to K;

R (t) is total transmission rate;

r _i(t) be i the transmission rate that network is assigned to;

(5), the downlink data of multimode terminal MUE is branched to corresponding network carry out concurrent transmission according to the shunting ratio of calculating in the step (4).

2. method according to claim 1, the resource reporting request message in the wherein said step (1) comprises kind, available volume of resources and the channel status of resource information.

3. method according to claim 1, the idling-resource state information in the wherein said step (2) comprises the peak transfer rate of channel, the bandwidth of channel, the noise power spectral density and the channel gain of channel.

4. method according to claim 1, the resource status Indication message in the wherein said step (2), the sign that comprises the kind of resource information, current available stock number, channel status and can be used by multimode terminal MUE.

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