CN110972165A - Double-layer optimization energy efficiency optimization method based on local cache and pre-download - Google Patents
Double-layer optimization energy efficiency optimization method based on local cache and pre-download Download PDFInfo
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Abstract
The invention discloses a double-layer optimization energy efficiency optimization method based on local cache and pre-download, which is applied to a heterogeneous wireless network to optimize the transmission energy efficiency of a main base station on the premise of meeting the requirements of user data packet transmission rate and transmission delay; solving the total energy consumption of the main base station by adopting a double-layer optimization energy efficiency optimal algorithm: the outer layer is an optimization problem about a local cache strategy, and a finite search algorithm is adopted to solve the local cache rate of each time slot of the main base station; the inner layer is about the optimization problem of the pre-downloading strategy, the optimal data departure curve under the power consumption of the ideal circuit is solved by adopting a rope pulling substitution algorithm, the transmission with the speed lower than the energy efficiency optimal speed is substituted by the energy efficiency optimal speed, the corresponding actual transmission time length is calculated, and the optimal data departure curve under the power consumption of the actual circuit is obtained. The invention designs the transmission algorithm of the main base station by jointly utilizing the local cache and the pre-download strategy, and the transmission efficiency of the main base station can be the highest by utilizing the algorithm.
Description
Technical Field
The invention relates to a double-layer optimization energy efficiency optimization method based on local caching and pre-downloading, which can be applied to a heterogeneous wireless network and belongs to the wireless communication technology.
Background
With the widespread application of more and more smart phones and internet of things, more comfortable content experience and high-quality video service are provided for users, wireless traffic is experiencing unprecedented growth, and great challenges are brought to service providers.
The method predicts the request content of the user in advance through a pre-download strategy, stores the request content in a small base station or user equipment with storage capacity closer to the user in advance in a low peak period, and directly sends the stored request content to each user through the small base station when the user requests the content in a high peak period, so that the energy consumption of a main base station can be remarkably reduced. For the contents with higher popularity, the contents can be locally cached in the memory of the small base station in advance, and the contents are directly called out from the memory of the small base station and sent to the user when the user needs the contents, and the contents do not need to be acquired from the main base station every time, so that the data transmission frequency of the main base station is effectively reduced, and the aim of saving energy is fulfilled. The pre-downloading and local caching strategies are combined, so that the energy consumption of the main base station can be effectively reduced.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the invention provides a double-layer optimization energy efficiency optimization method based on local cache and pre-download.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the technical scheme that:
a double-layer optimization energy efficiency optimization method based on local cache and pre-download is applied to a heterogeneous wireless network; on the premise of meeting the requirements of user data packet transmission rate and transmission delay, based on known user scheduling information, jointly setting a memory of a small base station to carry out local cache and pre-download design, and optimizing the transmission energy efficiency of a main base station; firstly, initializing parameters, wherein the parameters comprise the number of data packets to be transmitted, the size of each data packet, the starting transmission time of each data packet, the ending transmission time of each data packet, the minimum transmission rate of each data packet, the total transmission time length of a system, the size of a memory, the local cache rate of a main base station and the circuit power consumption of the main base station; then, a minimum data departure curve and a maximum data departure curve of the main base station are designed by utilizing the minimum transmission rate of each data packet, the local cache rate of the main base station and the size of a memory, wherein the optimal data departure curve of the main base station is between the minimum data departure curve and the maximum data departure curve, the minimum data departure curve is related to a local cache strategy, and the maximum data departure curve is related to the local cache strategy and the size of the memory; and finally, solving the total energy consumption of the main base station by adopting a double-layer optimization energy efficiency optimal algorithm: the outer layer is an optimization problem about a local cache strategy, and a finite search algorithm is adopted to solve the local cache rate of each time slot of the main base station; the inner layer is about the optimization problem of the pre-download strategy, the optimal data departure curve under the power consumption of an ideal circuit is solved by adopting a rope pulling substitution algorithm, the transmission with the pre-download rate lower than the energy efficiency optimal rate is substituted by the energy efficiency optimal rate, the corresponding actual transmission duration is calculated, and the optimal data departure curve under the power consumption of the actual circuit is obtained. The method comprises the following steps:
the method comprises the following steps: parameter initialization
Setting the total transmission time length as T, the number of data packets to be transmitted as N, and the size of a memory as B; the time of starting transmission of the ith data packet is siThe time when the ith data packet finishes transmission is si+1The minimum transmission rate of the ith data packet is diThe transmission time length of the ith time slot is ti＝si+1-siThe transmission type of the ith time slot is fiThe circuit power consumption of the main base station is epsilon; when the parameter needing to be optimized comprises the ith time slot, the local cache rate c of the main base stationiPre-download rate (also called sending rate)Rate) riActual transmission duration τi；
Step two: problem formation
Calculating the minimum data departure curve of the main base station in the ith time slot as
The maximum data departure curve of the main base station in the ith time slot is
On the premise of meeting the user rate request, calculating the total energy consumption of the main base station as
Wherein, BnSlot index representing the same size packet present in the history, pair BnPerforming local caching processing;
step three: solving the total energy consumption of the main base station by adopting a double-layer optimization energy efficiency optimization algorithm, solving the optimization problem of a local cache strategy on the outer layer, and solving the local cache rate of each time slot of the main base station by adopting a finite search algorithm;
step four: the inner layer is an optimization problem about a pre-downloading strategy, optimization variables comprise a pre-downloading rate and actual transmission time, and a rope pulling substitution algorithm is adopted for solving; in a feasible region formed by a minimum data leaving curve and a maximum data leaving curve, an original point (0, 0) is taken as the starting end of the rope, the end point of the minimum data leaving curve is taken as the tail end of the rope, two ends of the rope are pulled tightly, the rope forms a curve consisting of line segments with different slopes in the feasible region, and the slope of the ith line segment forming the curve
The optimal data departure curve of the ith time slot under the power consumption of the corresponding ideal circuit; the optimal data departure curve under ideal circuit power consumption is
Step five: calculating the energy efficiency optimal rate of the ith time slot
If the slope of the ith line segment satisfies
Then the slope of use is ree(i)The segment(s) replaces the ith segment, and the starting point of the segment is the optimal data leaving curve under ideal circuit power consumption at siAccumulated data points at the moment, actual transmission duration being
Segment end point is the optimal data departure curve at s under ideal circuit power consumptioni+τiAccumulated data point of time, remaining time period ti-τiAnd (4) not transmitting data, and obtaining an optimal data departure curve under the actual circuit power consumption.
The data departure curve represents the relationship between the transmission data, also called cumulative data points, which is the sum of the data points that have been transmitted within the transmission time, and the transmission time; the size of a data packet is expressed using the total number of data points it contains.
Specifically, in the third step, a finite search algorithm is adopted to perform joint optimization solution on the local cache rate and the pre-download rate of each time slot of the main base station, where the local cache rate of the ith time slot is ciThe pre-download rate of the ith time slot is ri。
Specifically, in the fourth step, in the case that each time slot is a full time slot transmission, the optimal data leaving curve of each time slot at the ideal power consumption is calculated through the rope pulling algorithm.
Has the advantages that: the local cache and pre-download based double-layer optimization energy efficiency optimization method is simple and feasible, has low calculation complexity, and can optimize a local cache strategy and a pre-download strategy through double-layer optimization under the condition of meeting the minimum rate request and time delay of a user, so that the transmission energy efficiency of a main base station is optimized. The invention designs the transmission algorithm of the main base station by jointly utilizing the local cache and the pre-download strategy, and the transmission efficiency of the main base station can be the highest by utilizing the algorithm.
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FIG. 1 is an embodiment of the present invention;
fig. 2 shows the energy consumption of the algorithm of the present invention compared to other algorithms in the main base station.
Detailed Description
The present invention will be further described with reference to the accompanying drawings.
A double-layer optimization energy efficiency optimization method based on local cache and pre-download is applied to a heterogeneous wireless network; on the premise of meeting the requirements of user data packet transmission rate and transmission delay, based on known user scheduling information, jointly setting a memory of a small base station to carry out local cache and pre-download design, and optimizing the transmission energy efficiency of a main base station; the method comprises the following steps:
the method comprises the following steps: parameter initialization
Setting the total transmission time length as T, the number of data packets to be transmitted as N, and the size of a memory as B; the time of starting transmission of the ith data packet is siThe time when the ith data packet finishes transmission is si+1The minimum transmission rate of the ith data packet is diThe transmission time length of the ith time slot is ti＝si+1-siThe transmission type of the ith time slot is fiThe circuit power consumption of the main base station is epsilon; when the parameter needing to be optimized comprises the ith time slot, the local cache rate c of the main base stationiPre-download rate (also referred to as sending rate) riActual transmission duration τi；
Step two: problem formation
Calculating the minimum data departure curve of the main base station in the ith time slot as
The maximum data departure curve of the main base station in the ith time slot is
On the premise of meeting the user rate request, calculating the total energy consumption of the main base station as
Wherein, BnSlot index representing the same size packet present in the history, pair BnPerforming local caching processing;
step three: solving the total energy consumption of the main base station by adopting a double-layer optimization energy efficiency optimization algorithm, solving the optimization problem of a local cache strategy on the outer layer, and solving the local cache rate of each time slot of the main base station by adopting a finite search algorithm;
step four: the inner layer is an optimization problem about a pre-downloading strategy, optimization variables comprise a pre-downloading rate and actual transmission time, and a rope pulling substitution algorithm is adopted for solving; in a feasible region formed by a minimum data leaving curve and a maximum data leaving curve, an original point (0, 0) is taken as the starting end of the rope, the end point of the minimum data leaving curve is taken as the tail end of the rope, two ends of the rope are pulled tightly, the rope forms a curve consisting of line segments with different slopes in the feasible region, and the slope of the ith line segment forming the curve
The optimal data departure curve of the ith time slot under the power consumption of the corresponding ideal circuit; the optimal data departure curve under ideal circuit power consumption is
Step five: calculating the energy efficiency optimal rate of the ith time slot
If the slope of the ith line segment satisfies
Then the slope of use is ree(i)The segment(s) of (1) replaces the ith segment, and the starting point of the segment is under ideal circuit power consumptionAt siAccumulated data points at the moment, actual transmission duration being
Segment end point is the optimal data departure curve at s under ideal circuit power consumptioni+τiAccumulated data point of time, remaining time period tiiAnd (4) not transmitting data, and obtaining an optimal data departure curve under the actual circuit power consumption.
Assuming a system bandwidth of 1Mhz, a normalized transmission duration of 1 second per packet, and a circuit power consumption of 3 watts. In fig. 1, the number of packets requested by the user is 4, the size of each packet is 1, 2, 1 data point, and the buffer size is 1 data point. The number of packets in fig. 2 is 50.
Fig. 1 shows a specific use example of the proposed algorithm. The curve with the lower triangle represents the minimum data departure curve and the curve with the upper triangle represents the maximum data departure curve, and by using the rope pulling method proposed by us, the optimal data transmission curve under ideal circuit power consumption is obtained firstly, as shown by the curve with the cross in the figure. And (5) obtaining an optimal data departure curve under the actual circuit power consumption by using the method of the step five, wherein the curve is shown as a circled curve in the figure. Fig. 2 shows the energy consumption of the algorithm of the present invention compared to other algorithms in the main base station. As can be seen from the figure, the proposed algorithm consumes the least amount of energy by the primary base station compared to other algorithms.
In this embodiment, the beneficial effects of the local cache and the pre-downloaded two-layer optimization energy efficiency optimization algorithm mainly embody two aspects: firstly, the algorithm provided by the invention can calculate the optimal transmission strategy of the main base station under ideal power consumption; secondly, on the basis of an optimal transmission strategy based on ideal power consumption, a transmission algorithm with optimal energy efficiency of the main base station under actual circuit power consumption is obtained through a substitution method.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (4)
1. The double-layer optimization energy efficiency optimization method based on local caching and pre-downloading is applied to a heterogeneous wireless network; the method is characterized in that: on the premise of meeting the requirements of user data packet transmission rate and transmission delay, based on known user scheduling information, jointly setting a memory of a small base station to carry out local cache and pre-download design, and optimizing the transmission energy efficiency of a main base station; firstly, initializing parameters, wherein the parameters comprise the number of data packets to be transmitted, the size of each data packet, the starting transmission time of each data packet, the ending transmission time of each data packet, the minimum transmission rate of each data packet, the total transmission time length of a system, the size of a memory, the local cache rate of a main base station and the circuit power consumption of the main base station; then, a minimum data leaving curve and a maximum data leaving curve of the main base station are designed by utilizing the minimum transmission rate of each data packet, the local cache rate of the main base station and the size of a memory, and the optimal data leaving curve of the main base station is between the minimum data leaving curve and the maximum data leaving curve; and finally, solving the total energy consumption of the main base station by adopting a double-layer optimization energy efficiency optimal algorithm: the outer layer is an optimization problem about a local cache strategy, and a finite search algorithm is adopted to solve the local cache rate of each time slot of the main base station; the inner layer is about the optimization problem of the pre-downloading strategy, the optimal data departure curve under the power consumption of the ideal circuit is solved by adopting a rope pulling substitution algorithm, the transmission with the speed lower than the energy efficiency optimal speed is substituted by the energy efficiency optimal speed, the corresponding actual transmission time length is calculated, and the optimal data departure curve under the power consumption of the actual circuit is obtained.
2. The energy efficiency optimization method based on the local caching and the pre-downloading according to claim 1, wherein the energy efficiency optimization method comprises the following steps: the method comprises the following steps:
the method comprises the following steps: parameter initialization
Setting the total transmission time length as T and the number of data packets to be transmitted as N, and storingThe size of the device is B; the time of starting transmission of the ith data packet is siThe time when the ith data packet finishes transmission is si+1The minimum transmission rate of the ith data packet is diThe transmission time length of the ith time slot is ti＝si+1-siThe transmission type of the ith time slot is fiThe circuit power consumption of the main base station is epsilon; when the parameter needing to be optimized comprises the ith time slot, the local cache rate c of the main base stationiPre-download rate riActual transmission duration τi；
Step two: problem formation
Calculating the minimum data departure curve of the main base station in the ith time slot as
The maximum data departure curve of the main base station in the ith time slot is
On the premise of meeting the user rate request, calculating the total energy consumption of the main base station as
Wherein, BnSlot index representing the same size packet present in the history, pair BnPerforming local caching processing;
step three: solving the total energy consumption of the main base station by adopting a double-layer optimization energy efficiency optimization algorithm, solving the optimization problem of a local cache strategy on the outer layer, and solving the local cache rate of each time slot of the main base station by adopting a finite search algorithm;
step four: the inner layer is an optimization problem about a pre-downloading strategy, optimization variables comprise a pre-downloading rate and actual transmission time, and a rope pulling substitution algorithm is adopted for solving; in a feasible region formed by a minimum data leaving curve and a maximum data leaving curve, an original point (0, 0) is used as the starting end of the rope, the end point of the minimum data leaving curve is used as the tail end of the rope, two ends of the rope are pulled tightly, and the rope is formed in the feasible regionA curve composed of line segments with different slopes, the slope of the ith line segment constituting the curve
The optimal data departure curve of the ith time slot under the power consumption of the corresponding ideal circuit; the optimal data departure curve under ideal circuit power consumption is
Step five: calculating the energy efficiency optimal rate of the ith time slot
If the slope of the ith line segment satisfies
Then the slope of use is ree(i)The segment(s) replaces the ith segment, and the starting point of the segment is the optimal data leaving curve under ideal circuit power consumption at siAccumulated data points at the moment, actual transmission duration being
Segment end point is the optimal data departure curve at s under ideal circuit power consumptioni+τiAccumulated data point of time, remaining time period ti-τiAnd (4) not transmitting data, and obtaining an optimal data departure curve under the actual circuit power consumption.
3. The local cache and pre-download based two-layer optimized energy efficiency optimization method according to claim 2, wherein: in the third step, a finite search algorithm is adopted to carry out combined optimization solution on the local cache rate and the pre-download rate of each time slot of the main base station, wherein the local cache rate of the ith time slot is ciThe pre-download rate of the ith time slot is ri。
4. The local cache and pre-download based two-layer optimized energy efficiency optimization method according to claim 2, wherein: in the fourth step, under the condition that each time slot is full time slot transmission, the optimal data departure curve of each time slot under ideal power consumption is calculated through a rope pulling algorithm.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102714619A (en) * | 2009-12-18 | 2012-10-03 | 阿尔卡特朗讯公司 | Energy efficiency with rate adaptation |
| CN107426773A (en) * | 2017-08-09 | 2017-12-01 | 山东师范大学 | Towards the distributed resource allocation method and device of efficiency in Wireless Heterogeneous Networks |
| CN109413615A (en) * | 2018-09-14 | 2019-03-01 | 重庆邮电大学 | The energy delay compromise proposal of Energy-aware unloading under car networking based on MEC |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102714619A (en) * | 2009-12-18 | 2012-10-03 | 阿尔卡特朗讯公司 | Energy efficiency with rate adaptation |
| CN107426773A (en) * | 2017-08-09 | 2017-12-01 | 山东师范大学 | Towards the distributed resource allocation method and device of efficiency in Wireless Heterogeneous Networks |
| CN109413615A (en) * | 2018-09-14 | 2019-03-01 | 重庆邮电大学 | The energy delay compromise proposal of Energy-aware unloading under car networking based on MEC |
Non-Patent Citations (1)
| Title |
|---|
| 彭颖等: "移动网络中基于数据到达速率的数据传输能耗优化策略", 《计算机科学》 * |
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