Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Optimization method for multi-service broadcast single frequency network based on superposition coding

A broadcast single frequency network and superposition coding technology, which is applied in the field of multi-service broadcast single frequency network optimization based on superposition coding, can solve the problems of signal inter-symbol interference, frequency selective fading, etc., so as to make full use of channel resources and reduce design cycle. , to achieve the effect of efficient use

Active Publication Date: 2018-04-10
TSINGHUA UNIV +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, since the strong multipath effect in the single frequency network will lead to intersymbol interference and frequency selective fading of the signal, the selection of the physical layer channel resource allocation method during superposition coding will also have a great impact on the overall coverage. It is of great significance to efficiently and reasonably analyze, design and optimize SFN for multi-service transmission

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Optimization method for multi-service broadcast single frequency network based on superposition coding
  • Optimization method for multi-service broadcast single frequency network based on superposition coding
  • Optimization method for multi-service broadcast single frequency network based on superposition coding

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] This embodiment is aimed at a single frequency network for multi-service transmission based on direct linear superposition coding in a DTMB (Digital Television Terrestrial MultimediaBroadcasting, national standard for digital television terrestrial transmission) system, according to figure 1 The shown method of the present invention provides the implementation steps of the optimization strategy using the genetic algorithm.

[0055] The single frequency network to be optimized selected in this embodiment includes three transmitting base stations, and its layout and target areas of each service are as follows: figure 2 shown. Among them, the largest ellipse on the periphery indicates the target area of ​​public services, and the three smaller ellipses inside the device are the target areas of local services. The location, height, antenna gain, antenna height, and polarization mode of each base station are shown in Table 1 below:

[0056]

[0057] Table 1

[0058] Th...

Embodiment 2

[0089] This embodiment is aimed at a single frequency network for multi-service transmission based on bit division multiplexing in a DTMB system, according to figure 1 The shown method of the present invention gives the implementation steps of the optimization strategy using the simulated annealing algorithm.

[0090] The parameters of the single frequency network base station to be optimized selected in this embodiment are the same as those in the first embodiment.

[0091] Then, the multi-service service quality requirements (business requirements) required by the system are:

[0092] 1) Transmission rate: public service R global = 10Mbps, local service R local1 = R local2 = R local3 =15Mbps; 2) The priority weight of each local service is the same.

[0093] In this embodiment, the method includes the following steps:

[0094] Step 10: Divide the physical layer channel into public sub-channels and local sub-channels, use superposition coding to transmit public services...

Embodiment 3

[0112] This embodiment is aimed at a single frequency network for multi-service transmission based on bit division multiplexing in a DTMB system, according to figure 1 The shown method of the present invention provides the implementation steps of the optimization strategy using the particle swarm algorithm.

[0113] The parameters of the single frequency network base station to be optimized selected in this embodiment are the same as those in the first embodiment.

[0114] Then, the multi-service service quality requirements (business requirements) required by the system are:

[0115] 1) Transmission rate: public service R global = 10Mbps, local service R local1 =R local2 = 15Mbps, R local3 =20Mbps; 2) The weight of the local service is ω 1 = ω 2 = 1, ω 3 =2.

[0116] In this embodiment, the method includes the following steps:

[0117] Step 100: Divide the physical layer channel into public sub-channels and local sub-channels, use superposition coding to transmit pub...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-service broadcasting single-frequency network optimizing method based on superposition codes. The multi-service broadcasting single-frequency network optimizing method comprises the following steps of S1, segmenting physical layer channels into a common subchannel and a local subchannel which are used for respectively transmitting common services and local services; S2, according to the networking information and service requirements, setting the initial values of transmitting base station parameters and subchannel transmitting parameters, and selecting one part of parameters as to-be-optimized parameters, including adjustable transmitting parameters of subchannels and adjustable parameters of a transmitting base station; S3, calculating the target function value corresponding to the overall receiving property of the target area, optimizing the adjustable transmitting parameters of the subchannels, and furthest optimizing the target function value; S4, performing optimum iteration on the adjustable transmitting parameters of the transmitting base station, and gradually updating the target function value by generations, so as to obtain the optimum adjustable parameters; S5, repeating the steps S2 to S5, selecting different initial values, so as to obtain a group of optimizing results. The multi-service broadcasting single-frequency network optimizing method has the advantages that the coverage requirement of the common services is guaranteed to meet, and the coverage effect of the local services is improved.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a multi-service broadcast single frequency network optimization method based on superposition coding. Background technique [0002] In traditional analog TV broadcasting, in order to avoid co-channel interference, adjacent transmitting base stations transmit signals at different frequencies, and the same frequency can only be reused at a certain distance apart. This kind of Multiple Frequency Network (MFN) The networking mode causes serious waste of limited frequency resources. With the transition of terrestrial TV broadcasting from the analog era to the digital era, the number of digital TV channels has increased rapidly, and frequency resources have become increasingly tense. Single Frequency Network (SFN) networking relies on its large coverage, low transmitter cost, and high frequency utilization. The advantages gradually replace the multi-frequency network and become...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/2385H04N21/236
CPCH04N21/23608H04N21/2385
Inventor 宋健段海宁彭克武张彧潘长勇
Owner TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products