CN111093205A - Sub-channel resource allocation method of IoT network - Google Patents

Sub-channel resource allocation method of IoT network Download PDF

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CN111093205A
CN111093205A CN201911220896.3A CN201911220896A CN111093205A CN 111093205 A CN111093205 A CN 111093205A CN 201911220896 A CN201911220896 A CN 201911220896A CN 111093205 A CN111093205 A CN 111093205A
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transmission rate
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林世俊
刘俊威
石江宏
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Xiamen University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/14—Spectrum sharing arrangements between different networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
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    • H04W28/22—Negotiating communication rate

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Abstract

The invention relates to an optimal allocation method for sub-channel resources of an IoT network, which optimizes the transmission rate by reasonably allocating sub-channels to authenticated users and reasonably multiplexing the sub-channels by an IoT communication link. The invention reasonably distributes the subchannel resources to the IoT communication link and the authentication user, so that the transmission rate of the IoT communication link is maximum under the condition of ensuring that the transmission rate of the authentication user is not lower than the transmission rate threshold.

Description

Sub-channel resource allocation method of IoT network
Technical Field
The invention relates to the field of Internet of things and wireless communication, in particular to a sub-channel resource allocation method of an IoT network.
Background
The Internet of Things (IoT) refers to embedded physical devices, such as: the sensor, the automobile, the household appliance and the like are widely applied to the fusion of the current network by utilizing communication sensing technologies such as intelligent sensing, intelligent identification, calculation and the like. In the IoT technology, each IoT device can automatically detect data and automatically respond to the external environment changes to exchange data with other or multiple devices without human intervention. By utilizing the IoT technology, the efficiency and the accuracy of the equipment can be well improved, and time and money are saved for people. In an IoT network composed of IoT communication links and authenticated users, each IoT communication link is composed of a sending end and a receiving end, and the IoT communication links can be free from the influence of a base station, perform data interaction as required, and have the function of automatic routing (message forwarding). Authenticated users (LUs) are traditional wireless end users, and each authenticated user can communicate with an IoT Control Center (ICC) via an uplink transmission link. In this study scheme, we assume that several IoT communication links form different IoT clusters, which can multiplex a certain authenticated user's sub-channel for each IoT cluster. And different authenticated users can only multiplex one sub-channel with one IoT cluster at most.
IoT originates from the media field, is the third revolution of the information science and technology industry, has increasingly wide application in the current wireless cellular network, and can effectively improve the transmission rate, increase the system throughput, improve the spectrum utilization efficiency, and reduce the burden of the cellular base station.
However, in the conventional IoT network, the IoT communication link causes a lot of interference and delay to the whole network, which may cause serious interference in the same cluster, resulting in low transmission rate.
In view of the above, the present invention provides a method for optimizing and allocating sub-channel resources in an IoT network, which is based on the deep conception of the problems in the IoT network.
Disclosure of Invention
The invention aims to provide a sub-channel resource allocation method of an IoT network, which optimizes the resource allocation of sub-channels by maximizing the transmission rate of the total IoT communication link.
In order to achieve the purpose, the invention adopts the technical scheme that:
an IoT network applied to the method is provided with an IoT control center, an authentication user and IoT communication links, wherein the authentication user and the IoT communication links randomly exist at any position in the IoT network, and each IoT communication link shares and only shares an uplink spectrum resource on one IoT network; the distribution method specifically comprises the following steps:
step 1, carrying out random initialization operation on all IoT communication links in an IoT network, randomly allocating all IoT communication links into U IoT clusters, and for each IoT cluster ciAll will communicate with a certain authenticated user uiBinding to form U multiplexing combinations SiNamely:
Figure BDA0002300812080000021
step 2, for each multiplex combination Si，Si＝{ui,ciSelecting any subchannel f to pass through an IoT control center to obtain the transmission rate r under the conditioni,f(ii) a For different SiAnd f, r obtainedi,fDifferently, the matrix A is used to represent the respective multiplexing combinations SiAnd r formed by fi,fThe case (1);
different multiplexed packets ui,ciThat only one of the sub-channels RB can be selectedfAnd different multiplexed packets { u }i,ciThe sub-channels used cannot be the same; wherein r isi,fIs shown as
Figure BDA0002300812080000031
Wherein r isi,f，
Figure BDA0002300812080000032
And
Figure BDA0002300812080000033
respectively, indicates that in the case of using the subchannel f, the combination S is multiplexediTotal transmission rate of, authenticated user u using the subchannel fiAnd authenticating the user uiA total transmission rate of IoT clusters that multiplex the same subchannels; and authenticating user u using subchannel fiAt a transmission rate of
Figure BDA0002300812080000034
Wherein W represents the bandwidth of subchannel f, the bandwidth of each subchannel being equal; puAnd PcRepresenting the transmit power of the authenticated user and the IoT communication link transmitter;
Figure BDA0002300812080000035
and
Figure BDA0002300812080000036
respectively representing the gain of the signal transmission channel from the authenticated user to the IoT control center, the cluster ckThe nth IoT communication link transmitting end in
Figure BDA0002300812080000037
Interference channel gain to ICC; wherein in the denominator
Figure BDA0002300812080000038
Represents uiCluster c suffering from multiplexing the same sub-channels as in the transmission to the IoT control centerkInterference of (2);
and authenticates user uiThe total transmission rate of the IoT clusters multiplexing the same sub-channels is
Figure BDA0002300812080000039
Wherein,
Figure BDA0002300812080000041
and
Figure BDA0002300812080000042
respectively representing the transmission channel gain from a transmitting end of an IoT communication link to a receiving end, the interference channel gain from an LU in the same cluster to the receiving end of the IoT communication link in the cluster and the interference channel gain from the transmitting end of a certain IoT communication link in the same cluster to the receiving end of other IoT communication links in the cluster;
step 3, calculating by HungaryCalculating the matrix A to obtain the default multiplexing combination SiThe maximum transmission rate r of the matched combination is obtained at the same time as the best match of the sub-channel fmax(ii) a Setting the continuous adjustment failure times t and initializing to 0;
step 4, adjusting a certain multiplexing combination S by using the thought of the game theoryiIoT communication link c ini,nTo other different multiplexing combinations Si' in, a new clustering case is formed; for each new multiplexing combination after adjustment, calculating the transmission rate of the new multiplexing combination under different sub-channels f by using the formula (1), thereby forming a new matrix A';
and 5, calculating the new matrix A ' by using the Hungarian algorithm again to obtain the optimal matching of the adjusted multiplexing combination and the sub-channel f, and solving the maximum transmission rate r ' under the current matching combination 'max；
Step 6, comparing the maximum transmission rate r under the two clustering conditionsmaxAnd r'maxThe size of (d); when r ismaxWhen larger, the multiplexing combination before adjustment, the sub-channel allocation condition and r are reservedmaxAnd making the continuous adjustment failure times t equal to t + 1; r'maxIf the sum is larger, the adjusted multiplexing combination, the adjusted sub-channel distribution condition and r 'are reserved'maxAnd making the continuous adjustment failure times t return to zero, namely t is 0;
step 7, judging the value of the continuous adjustment failure times t;
when t is larger than a set value, the circulation is jumped out, and the currently reserved multiplexing combination and sub-channel distribution are the final distribution;
otherwise, returning to the step 4 and continuing to carry out adjustment judgment.
After the scheme is adopted, under the condition that the interference does not exceed the threshold value and the transmission rate of the authenticated user is not lower than the transmission rate threshold value, the resource allocation of the sub-channels is optimized by maximizing the transmission rate of the total IoT communication link by adopting the Hungarian algorithm and the game theory.
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FIG. 1 is a flow chart of the method for optimal allocation of sub-channel resources according to the present invention;
fig. 2 is a schematic diagram of matrix a.
Detailed Description
The invention discloses a sub-channel resource allocation method of an IoT network, which maximizes the transmission rate of a total IoT communication link under the condition that the interference is not more than a threshold value and the transmission rate of an authentication user is not lower than a transmission rate threshold value.
The IoT network related to the present invention includes 1 IoT Control Center (ICC) and two terminal devices. Wherein wireless terminal scales that communicate information with ICCs are distributed throughout the IoT network. Terminals that communicate directly with other terminals through D2D technology, referred to as IoT communication links; the IoT communication links may form K IoT clusters (IoT clusters), with ckIs shown in which
Figure BDA0002300812080000051
The number of IoT clusters and LU are equal, i.e., K ═ U. But different IoT clusters ckThe number of IoT communication links in the network is not constant, and a 1K matrix is used
Figure BDA0002300812080000052
K elements of
Figure BDA0002300812080000053
To represent a cluster ckNumber of IoT communication user pairs in, with ck,nTo be shown in cluster ckThe nth IoT communication link in (1). Each IoT communication user ck,nAlso randomly distributed within the cell, we use separately
Figure BDA0002300812080000054
And
Figure BDA0002300812080000055
to represent a transmitting end and a receiving end.
Throughout the IoT network, there are N LU-to-ICC upstream signaling links and
Figure BDA0002300812080000056
the method comprises the steps of IoT communication link channels among IoT communication users, wherein LU and IoT communication links exist randomly in any position in an IoT network, and each IoT communication link shares one IoT network uplink spectrum resource.
As shown in fig. 1, the method of the present invention specifically includes the following steps:
step 1, performing random initialization operation on all IoT communication links in an IoT network, that is, randomly allocating all IoT communication links into U IoT clusters. For each IoT cluster ciAll will communicate with a certain authenticated user uiBinding to form U multiplexing combinations SiNamely:
Figure BDA0002300812080000061
step 2, for each multiplex combination Si，Si＝{ui,ciSelecting any subchannel f to pass through an IoT control center to obtain the transmission rate r under the conditioni,f(ii) a For different SiAnd f, r obtainedi,fInstead, a matrix A (shown in FIG. 2) is used to represent each multiplexing combination SiAnd r formed by fi,fThe case (1);
different multiplexed packets ui,ciThat only one of the sub-channels RB can be selectedfAnd different multiplexed packets { u }i,ciThe sub-channels used cannot be the same; wherein r isi,fIs shown as
Figure BDA0002300812080000062
R of the above formulai,f，
Figure BDA0002300812080000063
And
Figure BDA0002300812080000064
respectively, indicates that in the case of using the subchannel f, the combination S is multiplexediTotal transmission rate of, u using the subchannel fiTransmission rate of and uiThe total transmission rate of the IoT clusters that multiplex the same sub-channels.
For the
Figure BDA0002300812080000065
This can be expressed by the following equation:
Figure BDA0002300812080000066
w in the formula represents the bandwidth of the sub-channel f, and the bandwidth of each sub-channel is equal. PuAnd PcRepresenting the transmit power of the LU and IoT communication link transmitters.
Figure BDA0002300812080000067
And
Figure BDA0002300812080000068
denote LU to ICC signaling channel gain, cluster c, respectivelykThe nth IoT communication link transmitting end in
Figure BDA0002300812080000069
Interference channel gain to ICC. Wherein in the denominator
Figure BDA0002300812080000071
Represents uiCluster c suffering from multiplexing the same sub-channels as during transmission to the ICCkThe interference of (2).
Similarly, we can write the transmission rate of any one IoT communication link in an IoT cluster.
The following were used:
Figure BDA0002300812080000072
wherein
Figure BDA0002300812080000073
And
Figure BDA0002300812080000074
respectively representing the transmission channel gain from the transmitting end of the IoT communication link to the receiving end, the interference channel gain from the LU in the same cluster to the receiving end of the IoT communication link in the cluster and the interference channel gain from the transmitting end of a certain IoT communication link in the same cluster to the receiving end of other IoT communication links in the cluster.
Figure BDA0002300812080000075
And
Figure BDA0002300812080000076
the channel gain of (c) can be described by the following equation:
Figure BDA0002300812080000077
the above formula expresses: channel gain for user u to user v transmission in case of using subchannel f. In the formula,
Figure BDA0002300812080000078
the influence factor of the frequency point on the channel gain in the transmission process is shown, and is a variable with the value of (0, 1); for different sub-channels, or different users u and v,
Figure BDA0002300812080000079
α represents the path loss coefficient.
In addition, the thermal noise at the receiving end of the invention satisfies that the mean value is 0 and the variance is sigma2Independent gaussian distribution.
Step 3, calculating the matrix A through Hungarian algorithm to obtain a default multiplexing combination SiThe maximum transmission rate r of the matched combination is obtained at the same time as the best match of the sub-channel fmax(ii) a Setting the continuous adjustment failure times t and initializing to 0;
step 4, adjusting a certain multiplexing combination S by using the thought of the game theoryiIoT gateway in (1)Signal link ci,nTo other different multiplex combinations S'iForming a new clustering situation; for each new multiplexing combination after adjustment, calculating the transmission rate of the new multiplexing combination under different sub-channels f by using the formula (1), thereby forming a new matrix A';
and 5, calculating the new matrix A ' by using the Hungarian algorithm again to obtain the optimal matching of the adjusted multiplexing combination and the sub-channel f, and solving the maximum transmission rate r ' under the current matching combination 'max；
Step 6, comparing the maximum transmission rate r under the two clustering conditionsmaxAnd r'maxThe size of (d); when r ismaxWhen larger, the multiplexing combination before adjustment, the sub-channel allocation condition and r are reservedmaxAnd making the continuous adjustment failure times t equal to t + 1; r'maxIf the sum is larger, the adjusted multiplexing combination, the adjusted sub-channel distribution condition and r 'are reserved'maxAnd making the continuous adjustment failure times t return to zero, namely t is 0;
when t reaches a certain value (set value), the increase of the maximum transmission rate becomes slow, and the increase amplitude can be ignored, so that the maximum transmission rate of the whole IoT network is reached.
Step 7, judging the value of the continuous adjustment failure times t;
when t is larger than a set value, the circulation is jumped out, and the currently reserved multiplexing combination and sub-channel distribution are the final distribution;
otherwise, returning to the step 4 and continuing to carry out adjustment judgment.
The key point of the invention is that under the condition that the interference is not more than the threshold value and the transmission rate of the authenticated user is not lower than the transmission rate threshold value, the resource allocation of the sub-channels is optimized by maximizing the transmission rate of the total IoT communication link by adopting the Hungarian algorithm and the game theory.
The above description is only exemplary of the present invention and is not intended to limit the technical scope of the present invention, so that any minor modifications, equivalent changes and modifications made to the above exemplary embodiments according to the technical spirit of the present invention are within the technical scope of the present invention.

Claims (1)

1. A method for optimally allocating sub-channel resources of an IoT network is characterized in that: an IoT control center, an authentication user and IoT communication links exist in an IoT network applied by the method, the authentication user and the IoT communication links randomly exist in any position in the IoT network, and each IoT communication link shares and only shares uplink spectrum resources on one IoT network; the distribution method specifically comprises the following steps:
step 1, carrying out random initialization operation on all IoT communication links in an IoT network, randomly allocating all IoT communication links into U IoT clusters, and for each IoT cluster ciAll will communicate with a certain authenticated user uiBinding to form U multiplexing combinations SiNamely:
Figure FDA0002300812070000011
step 2, for each multiplex combination Si，Si＝{ui,ciSelecting any subchannel f to pass through an IoT control center to obtain the transmission rate r under the conditioni,f(ii) a For different SiAnd f, r obtainedi,fDifferently, the matrix A is used to represent the respective multiplexing combinations SiAnd r formed by fi,fThe case (1);
different multiplexed packets ui,ciThat only one of the sub-channels RB can be selectedfAnd different multiplexed packets { u }i,ciThe sub-channels used cannot be the same; wherein r isi,fIs shown as
Figure FDA0002300812070000012
Wherein r isi,f，
Figure FDA0002300812070000013
And
Figure FDA0002300812070000014
respectively, indicates that in the case of using the subchannel f, the combination S is multiplexediTotal transmission rate of, authenticated user u using the subchannel fiAnd authenticating the user uiA total transmission rate of IoT clusters that multiplex the same subchannels; and authenticating user u using subchannel fiAt a transmission rate of
Figure FDA0002300812070000021
Wherein W represents the bandwidth of subchannel f, the bandwidth of each subchannel being equal; puAnd PcRepresenting the transmit power of the authenticated user and the IoT communication link transmitter;
Figure FDA0002300812070000022
and
Figure FDA0002300812070000023
respectively representing the gain of the signal transmission channel from the authenticated user to the IoT control center, the cluster ckThe nth IoT communication link transmitting end in
Figure FDA0002300812070000024
Interference channel gain to an IoT control center; wherein in the denominator
Figure FDA0002300812070000025
Represents uiCluster c suffering from multiplexing the same sub-channels as in the transmission to the IoT control centerkInterference of (2);
and authenticates user uiThe total transmission rate of the IoT clusters multiplexing the same sub-channels is
Figure FDA0002300812070000026
Wherein,
Figure FDA0002300812070000027
and
Figure FDA0002300812070000028
respectively representing the transmission channel gain from a transmitting end of an IoT communication link to a receiving end, the interference channel gain from an LU in the same cluster to the receiving end of the IoT communication link in the cluster and the interference channel gain from the transmitting end of a certain IoT communication link in the same cluster to the receiving end of other IoT communication links in the cluster;
step 3, calculating the matrix A through Hungarian algorithm to obtain a default multiplexing combination SiThe maximum transmission rate r of the matched combination is obtained at the same time as the best match of the sub-channel fmax(ii) a Setting the continuous adjustment failure times t and initializing to 0;
step 4, adjusting a certain multiplexing combination S by using the thought of the game theoryiIoT communication link c ini,nTo other different multiplex combinations S'iForming a new clustering situation; for each new multiplexing combination after adjustment, calculating the transmission rate of the new multiplexing combination under different sub-channels f by using the formula (1), thereby forming a new matrix A';
and 5, calculating the new matrix A ' by using the Hungarian algorithm again to obtain the optimal matching of the adjusted multiplexing combination and the sub-channel f, and solving the maximum transmission rate r ' under the current matching combination 'max；
Step 6, comparing the maximum transmission rate r under the two clustering conditionsmaxAnd r'maxThe size of (d); when r ismaxWhen larger, the multiplexing combination before adjustment, the sub-channel allocation condition and r are reservedmaxAnd making the continuous adjustment failure times t equal to t + 1; r'maxIf the sum is larger, the adjusted multiplexing combination, the adjusted sub-channel distribution condition and r 'are reserved'maxAnd making the continuous adjustment failure times t return to zero, namely t is 0;
step 7, judging the value of the continuous adjustment failure times t;
when t is larger than a set value, the circulation is jumped out, and the currently reserved multiplexing combination and sub-channel distribution are the final distribution;
otherwise, returning to the step 4 and continuing to carry out adjustment judgment.
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