CN111683410A - NB-IoT protocol-based emergency wireless network resource allocation method - Google Patents
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- 238000013468 resource allocation Methods 0.000 title claims abstract description 28
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- 238000005265 energy consumption Methods 0.000 claims description 15
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Abstract
The invention relates to the field of wireless network resource allocation, in particular to an emergent wireless network resource allocation method based on an NB-IoT protocol, which is applied to an uplink network environment formed by monitoring network nodes with N monitoring terminals and 1 wireless private network monitoring base station with the NB-IoT protocol, and comprises the following steps: 1. each monitoring terminal has several transmission channels, the channel set of the nth monitoring terminal is Sn(ii) a 2. Determining the energy efficiency and energy loss data of transmission data on a transmission path from the monitoring terminal to a network base station; 3. when an emergency situation occurs, the position of the monitoring terminal is rapidly analyzed, and the energy efficiency and the energy loss data of the transmission data of the monitoring terminal are obtained; 4. according to the energy efficiency and energy loss data of transmission data at the monitoring terminal to be subjected to emergency processing, judging whether the monitoring terminal performs resource allocation processing or the adjacent monitoring terminal performs resource allocation processing; the invention can improveAnd monitoring the processing speed of the network for the emergency situation.
Description
Technical Field
The invention relates to the field of wireless network resource allocation, in particular to an emergency wireless network resource allocation method based on an NB-IoT protocol.
Background
The internet of things protocol is a network language used by the system nodes of the internet of things and is of great importance to the overall feasibility of deployment. The protocol specifies the scope, format and complexity of the internet of things solution communication and plays a major role in determining cost and functionality. The NB-IoT is a narrow-band Internet of things wireless communication technology with wide coverage, low power consumption, low cost and large connection, is a technical standard provided by 3GPP aiming at a large-scale Internet of things scene, and is frozen in an R13 standard of 3 GPP. It provides low power consumption communication and data size that more closely matches the LoRa profile, simplifying cross-sensor compatibility for internet of things providers who wish to cover LPWAN and cellular use cases.
Monitoring networks are increasingly widely applied to various aspects of society, and play an extremely important role in various social fields such as city management, public security, traffic, finance, education and the like. Monitoring network information interworking is one of the important fundamental works in the development of the monitoring field. With the increasingly wide application of monitoring networks in different fields, the market demand is also continuously expanded. The data transmission efficiency of the original monitoring network cannot meet the user requirements at the current stage, so that the optimization of the monitoring network is greatly needed. And when a certain end point of the monitoring network has an emergency to-be-processed condition, a very fast response speed is required to quickly inform the control terminal, and the influence of the energy efficiency of the transmitted data in the process is very important.
The university of electronic technology, Lizhiming, etc., adopts the method of game theory to analyze the compromise optimization problem of energy efficiency and spectral efficiency. Firstly, the feasibility of virtual gaming by adopting a bargained gaming model for the energy efficiency and the spectral efficiency of the system is analyzed, a system configuration scheme for compromise optimization of the energy efficiency and the spectral efficiency is provided, the solution of the optimization problem is analyzed and deduced in detail, the existence of game equilibrium points in the optimization problem is proved, and an equilibrium point search scheme combining a gold search algorithm and sequence quadratic programming is designed. And finally, analyzing the system performance after the optimized configuration of the system sub-channels and the power is carried out by adopting the bargaining game model in a single-cell and multi-cell scene.
Disclosure of Invention
The present invention is directed to provide an emergency wireless network resource allocation method based on NB-IoT protocol, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: an emergent wireless network resource allocation method based on NB-IoT protocol is applied to an uplink network environment formed by a monitoring network node with N monitoring terminals and 1 wireless private network monitoring base station with NB-IoT protocol, and comprises the following steps:
s1: acquiring the positions and channel data of N monitoring terminals, and numbering the N monitoring terminals {1,2, 3.. N }, wherein N represents the serial number of the nth monitoring terminal, and N is more than or equal to 1 and less than or equal to N; each monitoring terminal has several transmission channels, the channel set of the nth monitoring terminal is Sn；
S2: determining transmission data energy efficiency and energy loss data on a transmission path from each monitoring terminal to the network base station according to the channel data and the network state data transmitted by each monitoring terminal to the monitoring base station;
wherein the energy efficiency is expressed as:
in the formula, pcRepresents the circuit consumption; p represents the emission efficiency of the monitoring terminal, and the monitoring terminal follows NB-IoT protocol for the channel gain of the channel where the monitoring terminal is located; b is the bandwidth of data transmission; tau represents the difference between the signal-to-noise ratio needed in the actual system and the signal-to-noise ratio needed in theory when the system reaches the theoretical capacity;
s3: the monitoring base station carries out real-time detection on the monitoring terminal, judges the emergency condition of the monitoring terminal, rapidly analyzes the position of the monitoring terminal when the emergency condition occurs, and acquires the energy efficiency and the energy loss data of the transmission data of the monitoring terminal;
s4: judging edge users in the monitoring terminal to be processed, the adjacent monitoring terminal and the monitoring base station; and judging according to the target signal SINR received at the position of the user, wherein:
in the formula
Indicating all command signals and transmission powers, p, received by a monitoring terminal except the monitoring base stationnoiRepresenting the thermal noise power; p is a radical ofnReceiving power of the monitoring terminal at any position in the wireless network;
in addition, the energy efficiency of the edge user can be defined as:
wherein R isaverageRepresenting the average transmission rate, P, of edge userseRepresenting the uplink energy consumption of the terminal;
when transmitting uplink data, the terminal transmitting power accounts for most of the uplink energy consumption of the terminal, and the terminal transmitting power PtUplink energy consumption P with terminaleSatisfies the following conditions: pe＝η×Pt；
Wherein η represents a ratio of uplink energy consumption of the terminal to the transmission power of the uplink terminal, and the value is a fixed value and has a relationship with hardware factors such as an amplification factor of a power amplifier, so that η is different for different types of terminals;
s5: according to the energy efficiency and energy loss data of transmission data at the monitoring terminal to be subjected to emergency processing, judging whether the monitoring terminal performs resource allocation processing or the adjacent monitoring terminal performs resource allocation processing; suppose that the distribution set obtained by the kth monitoring terminal is Sn＝{n1,n2,......,nNkIn which n isNkFor the number of channels, the power distribution of each distribution channel is as follows:
s51: performing initial distribution on the power of each monitoring terminal:
for all n, n ═ n1,n2,......,nNkLet Ck,n＝0
S＝Sk
αk,nChannel gain on a channel for the kth monitor terminal; ck,nThe number of bits allocated to the channel n for the kth monitoring terminal; delta Pk,nIndicating an initial allocation power value; snAllocating a channel collection for the kth monitoring terminal;
s52: and carrying out bit allocation on the power of each monitoring terminal:
repeating the step RkSecondly:
n^＝argmaxΔpk
if it is not
Then S ═ S- { n ^ S }
S52: the end of the allocation is carried out,
selecting a resource allocation direction and a signal transmission path for a final allocation result according to the allocation result;
s6: and performing adaptive processing according to the judgment result to rapidly solve the emergency situation.
Preferably, each monitoring terminal communicates with each other according to the NB-IoT protocol, and each monitoring terminal and the monitoring base station also communicate with each other according to the NB-IoT protocol.
Preferably, the energy consumption of the circuit can be divided into two parts: one part is a fixed part and the other part is a parameter-dependent dynamic part of the transmission signal, so that:
pc＝ps+R
psrepresents the static circuit loss during transmission, and is a constant representing the energy loss of the transmission unit data.
Preferably, the receiving power p of the monitoring terminal at any position in the wireless networknIn order to consider the calculated value after the link fading, the link fading includes three types, namely large-scale fading, shadow fading and fast fading.
Compared with the prior art, the invention has the beneficial effects that: the invention can improve the processing speed of the monitoring network for the emergency situation; acquiring the positions and channel data of a plurality of monitoring terminals, the distances among the plurality of monitoring terminals and the distances from the plurality of monitoring terminals to a monitoring base station respectively; determining transmission data energy efficiency and energy loss data on a transmission path from each monitoring terminal to the network base station according to the distance transmitted by each monitoring terminal to the monitoring base station and the network data; the monitoring base station carries out real-time detection on the monitoring terminal, judges the emergency condition of the monitoring terminal, rapidly analyzes the position of the monitoring terminal when the emergency condition occurs, and acquires the energy efficiency and the energy loss data of the transmission data of the monitoring terminal; and judging whether the resource allocation processing is carried out by the monitoring terminal or the resource allocation processing is carried out by the adjacent monitoring terminal according to the energy efficiency and the energy loss data of the transmission data at the monitoring terminal to be subjected to the emergency processing.
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FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: an emergent wireless network resource allocation method based on NB-IoT protocol is applied to an uplink network environment formed by a monitoring network node with N monitoring terminals and 1 wireless private network monitoring base station with NB-IoT protocol, and comprises the following steps:
s1: acquiring the positions and channel data of N monitoring terminals, and numbering the N monitoring terminals {1,2, 3.. N }, wherein N represents the serial number of the nth monitoring terminal, and N is more than or equal to 1 and less than or equal to N; each monitoring terminal has several transmission channels, the channel set of the nth monitoring terminal is Sn；
S2: determining transmission data energy efficiency and energy loss data on a transmission path from each monitoring terminal to the network base station according to the channel data and the network state data transmitted by each monitoring terminal to the monitoring base station;
wherein the energy efficiency is expressed as:
in the formula, pcRepresents the circuit consumption; p represents the emission efficiency of the monitoring terminal, and the monitoring terminal follows NB-IoT protocol for the channel gain of the channel where the monitoring terminal is located; b is the bandwidth of data transmission; tau represents the difference between the signal-to-noise ratio needed in the actual system and the signal-to-noise ratio needed in theory when the system reaches the theoretical capacity;
s3: the monitoring base station carries out real-time detection on the monitoring terminal, judges the emergency condition of the monitoring terminal, rapidly analyzes the position of the monitoring terminal when the emergency condition occurs, and acquires the energy efficiency and the energy loss data of the transmission data of the monitoring terminal;
s4: judging edge users in the monitoring terminal to be processed, the adjacent monitoring terminal and the monitoring base station; and judging according to the target signal SINR received at the position of the user, wherein:
in the formula
Indicating all command signals and transmission powers, p, received by a monitoring terminal except the monitoring base stationnoiRepresenting the thermal noise power; p is a radical ofnFor the connection of the monitoring terminal at any position in the wireless networkReceiving power;
in addition, the energy efficiency of the edge user can be defined as:
wherein R isaverageRepresenting the average transmission rate, P, of edge userseRepresenting the uplink energy consumption of the terminal;
when transmitting uplink data, the terminal transmitting power accounts for most of the uplink energy consumption of the terminal, and the terminal transmitting power PtUplink energy consumption P with terminaleSatisfies the following conditions: pe＝η×Pt；
Wherein η represents a ratio of uplink energy consumption of the terminal to the transmission power of the uplink terminal, and the value is a fixed value and has a relationship with hardware factors such as an amplification factor of a power amplifier, so that η is different for different types of terminals;
s5: according to the energy efficiency and energy loss data of transmission data at the monitoring terminal to be subjected to emergency processing, judging whether the monitoring terminal performs resource allocation processing or the adjacent monitoring terminal performs resource allocation processing; suppose that the distribution set obtained by the kth monitoring terminal is Sn＝{n1,n2,......,nNkIn which n isNkFor the number of channels, the power distribution of each distribution channel is as follows:
s51: performing initial distribution on the power of each monitoring terminal:
for all n, n ═ n1,n2,......,nNkLet Ck,n＝0
S＝Sk
αk,nChannel gain on a channel for the kth monitor terminal; ck,nThe number of bits allocated to the channel n for the kth monitoring terminal; delta Pk,nIndicating an initial allocation power value; snAllocating a channel collection for the kth monitoring terminal;
s52: and carrying out bit allocation on the power of each monitoring terminal:
repeating the step RkSecondly:
n^＝argmaxΔpk
if it is not
Then S ═ S- { n ^ S }
S52: the end of the allocation is carried out,
selecting a resource allocation direction and a signal transmission path for a final allocation result according to the allocation result;
s6: and performing adaptive processing according to the judgment result to rapidly solve the emergency situation.
Furthermore, each monitoring terminal communicates with each other according to the NB-IoT protocol, and each monitoring terminal and the monitoring base station also communicate according to the NB-IoT protocol.
Further, the energy consumption of the circuit can be divided into two parts: one part is a fixed part and the other part is a parameter-dependent dynamic part of the transmission signal, so that:
pc＝ps+R
psrepresents the static circuit loss during transmission, and is a constant representing the energy loss of the transmission unit data.
Further, the receiving power p of the monitoring terminal at any position in the wireless networknIn order to consider the calculated value after the link fading, the link fading includes three types, namely large-scale fading, shadow fading and fast fading.
The invention can improve the processing speed of the monitoring network for the emergency situation; acquiring the positions and channel data of a plurality of monitoring terminals, the distances among the plurality of monitoring terminals and the distances from the plurality of monitoring terminals to a monitoring base station respectively; determining transmission data energy efficiency and energy loss data on a transmission path from each monitoring terminal to the network base station according to the distance transmitted by each monitoring terminal to the monitoring base station and the network data; the monitoring base station carries out real-time detection on the monitoring terminal, judges the emergency condition of the monitoring terminal, rapidly analyzes the position of the monitoring terminal when the emergency condition occurs, and acquires the energy efficiency and the energy loss data of the transmission data of the monitoring terminal; and judging whether the resource allocation processing is carried out by the monitoring terminal or the resource allocation processing is carried out by the adjacent monitoring terminal according to the energy efficiency and the energy loss data of the transmission data at the monitoring terminal to be subjected to the emergency processing.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (4)
1. An emergent wireless network resource allocation method based on NB-IoT protocol is applied to an uplink network environment formed by a monitoring network node with N monitoring terminals and 1 wireless private network monitoring base station of NB-IoT protocol, and is characterized in that: the method comprises the following steps:
s1: acquiring the positions and channel data of N monitoring terminals, and numbering the N monitoring terminals {1,2, 3.. N }, wherein N represents the serial number of the nth monitoring terminal, and N is more than or equal to 1 and less than or equal to N; each monitoring terminal has several transmission channels, the channel set of the nth monitoring terminal is Sn；
S2: determining transmission data energy efficiency and energy loss data on a transmission path from each monitoring terminal to the network base station according to the channel data and the network state data transmitted by each monitoring terminal to the monitoring base station;
wherein the energy efficiency is expressed as:
in the formula, pcRepresents the circuit consumption; p represents the emission efficiency of the monitoring terminal, and the monitoring terminal follows NB-IoT protocol for the channel gain of the channel where the monitoring terminal is located; b is the bandwidth of data transmission; tau represents the difference between the signal-to-noise ratio needed in the actual system and the signal-to-noise ratio needed in theory when the system reaches the theoretical capacity;
s3: the monitoring base station carries out real-time detection on the monitoring terminal, judges the emergency condition of the monitoring terminal, rapidly analyzes the position of the monitoring terminal when the emergency condition occurs, and acquires the energy efficiency and the energy loss data of the transmission data of the monitoring terminal;
s4: judging edge users in the monitoring terminal to be processed, the adjacent monitoring terminal and the monitoring base station; and judging according to the target signal SINR received at the position of the user, wherein:
in the formula
Indicating all command signals and transmission powers, p, received by a monitoring terminal except the monitoring base stationnoiRepresenting the thermal noise power; p is a radical ofnReceiving power of the monitoring terminal at any position in the wireless network;
in addition, the energy efficiency of the edge user can be defined as:
wherein R isaverageRepresenting the average transmission rate, P, of edge userseRepresenting the uplink energy consumption of the terminal;
when transmitting uplink data, the terminal transmitting power accounts for most of the uplink energy consumption of the terminal, and the terminal transmitting power PtUplink energy consumption P with terminaleSatisfy：Pe＝η×Pt；
Wherein η represents a ratio of uplink energy consumption of the terminal to the transmission power of the uplink terminal, and the value is a fixed value and has a relationship with hardware factors such as an amplification factor of a power amplifier, so that η is different for different types of terminals;
s5: according to the energy efficiency and energy loss data of transmission data at the monitoring terminal to be subjected to emergency processing, judging whether the monitoring terminal performs resource allocation processing or the adjacent monitoring terminal performs resource allocation processing; suppose that the distribution set obtained by the kth monitoring terminal is Sn＝{n1,n2,......,nNkIn which n isNkFor the number of channels, the power distribution of each distribution channel is as follows:
s51: performing initial distribution on the power of each monitoring terminal:
for all n, n ═ n1,n2,......,nNkLet Ck,n＝0
S＝Sk
αk,nChannel gain on a channel for the kth monitor terminal; ck,nThe number of bits allocated to the channel n for the kth monitoring terminal; delta Pk,nIndicating an initial allocation power value; snAllocating a channel collection for the kth monitoring terminal;
s52: and carrying out bit allocation on the power of each monitoring terminal:
repeating the step RkSecondly:
n^＝arg max Δpk
ck,n^＝ck,n^+1
if c isk,n^＝cmaxIf the value is greater than the predetermined value, then S- { n ^ S }
S52: the end of the allocation is carried out,
selecting a resource allocation direction and a signal transmission path for a final allocation result according to the allocation result;
s6: and performing adaptive processing according to the judgment result to rapidly solve the emergency situation.
2. The NB-IoT protocol-based emergency wireless network resource allocation method according to claim 1, wherein: each monitoring terminal communicates with each other according to the NB-IoT protocol, and each monitoring terminal and the monitoring base station also communicate with each other according to the NB-IoT protocol.
3. The NB-IoT protocol-based emergency wireless network resource allocation method according to claim 1, wherein: the energy consumption of the circuit can be divided into two parts: one part is a fixed part and the other part is a parameter-dependent dynamic part of the transmission signal, so that:
pc＝ps+R
psrepresents the static circuit loss during transmission, and is a constant representing the energy loss of the transmission unit data.
4. The NB-IoT protocol-based emergency wireless network resource allocation method according to claim 1, wherein: the receiving power p of the monitoring terminal at any position in the wireless networknIn order to consider the calculated value after the link fading, the link fading includes three types, namely large-scale fading, shadow fading and fast fading.
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