CN108966248B - Millimeter wave return stroke optimization method capable of being applied to millimeter wave wireless return stroke system - Google Patents
Millimeter wave return stroke optimization method capable of being applied to millimeter wave wireless return stroke system Download PDFInfo
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Abstract
The invention discloses a millimeter wave return optimization method capable of being applied to a millimeter wave wireless return system, which is used for establishing a large-scale multi-input multi-output and dense small-cell two-layer heterogeneous network system; communication waves of millimeter wave frequency bands are adopted between a Macro Base Station (MBS) and a Base Station (BS), and millimeter waves are adopted between the base station and users for wireless backhaul communication; a user acquires energy from a base station through wireless power transmission equipment; calculating the power loss and energy efficiency of the millimeter wave wireless return trip in the system; calculating power loss and energy efficiency in a system employing a millimeter wave backhaul optimization scheme; and comparing the steps to obtain the optimal result. The invention has the advantages of reducing communication interference, improving spectrum efficiency and energy efficiency, and the like.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a wireless backhaul system applied to millimeter wave bands for communication resources in a network.
Background
With the development of the internet and communication technology, the rapid popularization of advanced communication devices (such as smart phones, tablet computers, notebook computers and the like) and multimedia services, some experts in the industry and academia predict that the mobile data transmission demand will increase 1000 times in 2020. Although modern wireless communication systems are constantly changing our daily lives and even our behavioral habits, the carrier problem of wireless backhaul and the optimization of transmission power of backhaul channels in communication systems are still a problem that hinders the development of communication technologies. On the other hand, the 4G communication technology is still mature and has limitations, and on this background, in order to meet the needs of consumers and solve the limitations of the 4G communication network, the technology related to the development of 5G communication is also called for, so many problems are generated in the research process of the 5G communication technology.
The network structure of communication systems will be one of the hot issues in the research set forth by researchers. The combination of mimo (large Multiple-In Multiple-Out) technology and dense small cellular network is one of network system architectures for realizing high-speed information transmission In future communication networks. The large-scale multiple input multiple output is a technology of forming an array by dozens to hundreds of antennas and transmitting data for dozens of terminals at the same time. The development of a future broadband wireless communication technology is promoted by the appearance of a large-scale multiple-input multiple-output technology, so that a wireless communication system is higher in energy efficiency, higher in frequency spectrum utilization rate and higher in safety and reliability. The ultra-dense small cells are deployed on the traditional macro cells, and the small cells can provide services for a plurality of nearby users. The technology mainly depends on a low-cost and low-power base station, and the base station has higher density and stronger user load, so that the interruption distance between the base station and the user is closer, the area throughput is increased, the signal transmission power is reduced, and the load of the macro-cellular base station is reduced.
Macro base stations are equipped with a large number of antennas to support high mobility macro users and manage resource allocation, while small cell base stations deploy a small number of antennas to serve low mobility small cell users. In addition to dense small cell deployments, exploring additional available spectrum is an effective way to improve system performance. Two ideal frequency bands for wireless backhaul: the first is cellular frequency band, and the first is millimeter wave. Since millimeter waves are not suitable for long-distance transmission, the use of millimeter waves as communication waves in a system is one of the best choices among many electromagnetic waves. The advantages of millimeter wave communication: available frequency band is very wide, generally, the millimeter wave frequency range is 26.5-300GHz, and the bandwidth is up to 273.56 Hz. Secondly, the wave beam is narrow, and the wave beam of the millimeter wave is much narrower than that of the microwave under the same antenna size. And compared with laser, the propagation of millimeter waves is much less influenced by weather, and the millimeter wave can be considered to have all-weather characteristics. And fourthly, compared with the microwave, the millimeter wave component has a much smaller size, so that the millimeter wave system is easier to miniaturize. Therefore, the research on the wireless backhaul of millimeter wave communication is one of the means for improving the energy efficiency of the system.
Disclosure of Invention
The invention aims to provide a millimeter wave backhaul optimization method which can reduce communication interference, improve spectrum efficiency and energy efficiency and can be applied to a millimeter wave wireless backhaul system.
In order to realize the purpose, the following technical scheme is adopted: the method comprises the following steps:
step 1, establishing a large-scale multi-input multi-output and dense small-cell two-layer heterogeneous network system;
step 2, communication waves of millimeter wave frequency bands are adopted between a Macro Base Station (MBS) and a Base Station (BS), and millimeter waves are adopted between the base station and users for wireless backhaul communication;
step 3, the user obtains energy from the base station through the wireless power transmission equipment;
step 4, calculating the power loss and energy efficiency of the millimeter wave wireless return trip in the system;
step 5, calculating power loss and energy efficiency in a system adopting a millimeter wave return stroke optimization scheme;
and 6, comparing the step 4 with the step 5 to obtain an optimal result.
Further, the total energy of the downlink in the network system established in step 1 is:
wherein E is the total energy of the system, Ei is the energy obtained by each cellular network in the downlink, and E' j is the energy obtained by the macro user.
Further, in step 3, the energy that the user SU dispersed in the small cellular network can obtain from the base station is Es.
Further, in step 4, Δ Ebs, Δ Es, and Δ Em are energy losses for transmitting unit data,
α＝Ei/(Ei+εΔEbs)
β＝Es/(Es+εΔEs)
θ＝E′j/(E′j+εΔEm)
η＝α+β+θ
the method comprises the following steps that delta Ebs is the energy loss of transmission unit data between a macro base station and a small cell base station, delta Es is the energy loss of transmission unit data between the small cell base station and a small cell network user SU, delta Em is the energy loss of transmission unit data between the macro base station and a macro user MU, and epsilon represents a constant; alpha represents the energy efficiency from the macro base station to the small cell base station, beta represents the energy efficiency from the small cell base station to the small cell network user, theta represents the energy efficiency from the macro base station to the macro user, and eta represents the total energy efficiency of the system.
Further, in step 5, the results after applying the optimization scheme are α ', β ', θ ';
η′＝α′+β′+θ′。
wherein, alpha' is the energy efficiency between the macro base station and the small cellular base station after optimization; beta' is the energy efficiency between the optimized small cell base station and the small cell network user; theta' is the energy efficiency between the macro base station and the macro user after optimization; eta' is the total energy efficiency of the system after optimization.
Compared with the prior art, the invention has the following advantages:
1. the user experience is improved, reasonable resource allocation is carried out for the user in a macro base station and densely deployed small cellular network system, the problems of power loss and channel interference are comprehensively considered in an optimization stage, communication interference is reduced, and the energy efficiency is improved. The overall energy consumption is reduced.
2. The problem of resource allocation in the transmission process is solved, the spectrum efficiency and the energy efficiency are improved, and the interference and the energy consumption between communications are reduced.
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FIG. 1 is a system model of the present invention.
FIG. 2 is a detailed flow chart of the present invention.
FIG. 3 is a flow chart with a resource allocation optimization algorithm in the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
FIG. 1 is a system model of the present invention. Fig. 1 presents a two-layer heterogeneous network system consisting of a macro base station and a small cell. In the system structure, there are a Macro Base Station (MBS) with a large number of antennas and a plurality of small cell micro base stations (SBS) with only one antenna. A macro base station serves Macro Users (MUs) and micro base stations of several small cell cellular networks, each serving one mobile terminal (SU).
Fig. 2 is a specific process flow of the method of the present invention, which mainly comprises the following steps:
step 1, establishing a large-scale multi-input multi-output and dense small-cell two-layer heterogeneous network system;
the total energy of the downlink in the network system is:
wherein E is the total energy of the system, Ei is the energy obtained by each cellular network in the downlink, and E' j is the energy obtained by the macro user.
Step 2, communication waves of millimeter wave frequency bands are adopted between a Macro Base Station (MBS) and a Base Station (BS), and millimeter waves are adopted between the base station and users for wireless backhaul communication;
step 3, the user obtains energy from the base station through the wireless power transmission equipment; the energy that a user SU dispersed in a small cell network can obtain from a base station is Es.
Step 4, calculating the power loss and energy efficiency of the millimeter wave wireless return trip in the system;
Δ Ebs, Δ Es and Δ Em are energy losses for transmitting a unit of data,
α＝Ei/(Ei+εΔEbs)
β＝Es/(Es+εΔEs)
θ＝E′j/(E′j+εΔEm)
η＝α+β+θ
the method comprises the following steps that delta Ebs is the energy loss of transmission unit data between a macro base station and a small cell base station, delta Es is the energy loss of transmission unit data between the small cell base station and a small cell network user SU, delta Em is the energy loss of transmission unit data between the macro base station and a macro user MU, and epsilon represents a constant; alpha represents the energy efficiency from the macro base station to the small cell base station, beta represents the energy efficiency from the small cell base station to the small cell network user, theta represents the energy efficiency from the macro base station to the macro user, and eta represents the total energy efficiency of the system.
Step 5, calculating power loss and energy efficiency in a system adopting a millimeter wave return stroke optimization scheme;
the results after applying the optimization scheme are α ', β ', θ ';
η′＝α′+β′+θ′。
wherein, alpha' is the energy efficiency between the macro base station and the small cellular base station after optimization; beta' is the energy efficiency between the optimized small cell base station and the small cell network user; theta' is the energy efficiency between the macro base station and the macro user after optimization; eta' is the total energy efficiency of the system after optimization.
And 6, comparing the step 4 with the step 5 to obtain an optimal result.
As shown in fig. 3, after the algorithm starts, it is determined whether the energy Es acquired by the small cell user is greater than zero, and if so, the optimization algorithm is used to perform the test and calculation of the power loss and energy efficiency under the millimeter wave communication optimization scheme, and then the optimal result is obtained. Otherwise, the loop is ended.
The above-mentioned embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solution of the present invention by those skilled in the art should fall within the protection scope defined by the claims of the present invention without departing from the spirit of the present invention.
Claims (1)
1. A millimeter wave backhaul optimization method capable of being applied in a millimeter wave wireless backhaul system, the method comprising the steps of:
the method comprises the following steps: establishing a large-scale multi-input multi-output and dense small-cell two-layer heterogeneous network system;
the total energy of the downlink in the network system is:
wherein, E is the total energy of the system, Ei is the energy obtained by each cellular network in the downlink, and E' j is the energy obtained by the macro user;
step two: communication waves of cellular frequency bands are adopted between a Macro Base Station (MBS) and a Base Station (BS), and millimeter waves are adopted between the base station and users for wireless backhaul communication;
step three: a user acquires energy from a base station through wireless power transmission equipment; the energy that the user SU dispersed in the small cellular network can obtain from the base station is Es;
step four: calculating the power loss and energy efficiency of the millimeter wave wireless return trip in the system;
α＝Ei/(Ei+εΔEbs)，β＝Es/(Es+εΔEs)，θ＝E′j/(E′+εΔEm)，η＝α+β+θ；
wherein, Δ Ebs is the energy loss of the transmission unit data between the macro base station and the small cell base station, Δ Es is the energy loss of the transmission unit data between the small cell base station and the small cell network user SU, Δ Em is the energy loss of the transmission unit data between the macro base station and the macro user MU, and epsilon represents a constant; alpha represents the energy efficiency from the macro base station to the small cell base station, beta represents the energy efficiency from the small cell base station to the small cell network user, theta represents the energy efficiency from the macro base station to the macro user, and eta represents the total energy efficiency of the system;
step five: calculating power loss and energy efficiency in a system employing a millimeter wave backhaul optimization scheme;
the results after the optimization scheme was adopted were α ', β ', θ ', η ' ═ α ' + β ' + θ ';
wherein alpha 'is the energy efficiency between the macro base station and the small cellular base station after optimization, beta' is the energy efficiency between the small cellular base station and the small cellular network user after optimization, theta 'is the energy efficiency between the macro base station and the macro user after optimization, and eta' is the total energy efficiency of the system after optimization;
step six: and (5) comparing the step 4 with the step 5 to obtain the optimal result.
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