A user access and power allocation method for a wireless caching heterogeneous network

Abstract

A user access and power allocation method for a wireless cache heterogeneous network, including user access and power allocation; user access steps: 1. The macro base station sends signaling to the small cell and the user; 2. The small cell sends equal power to each user 1. Calculate the SINR of the link at this time, and perform user feedback; 3. The macro base station establishes a link decision and sends signaling; 4. Establishes a link between the small cell and the user; power allocation includes: A initialization parameter value; B small cell Collect information from users; C small cell updates the power allocated to users; D macro base station judges whether the power update is converged; E user feeds back channel and noise information and received SINR to macro base station; F macro base station solves power allocation; G macro base station Send the power allocation value to the small cell; H small cell power allocation. Through the information interaction between the macro base station, the small cells and the users, the present invention completes the user access and the optimal power distribution of each small cell to the users, thereby ensuring the quality and fairness of the users.

Description

technical field [0001] The invention provides a method for user access and power allocation of a wireless cache heterogeneous network, and belongs to the technical fields of heterogeneous network, subcarrier allocation and power allocation. Background technique [0002] With the increase in the number of wireless terminal equipment and the expansion of wireless communication applications from traditional human-to-human communication to human-to-machine communication and machine-to-machine communication, the wireless business will show a trend of rapid growth. According to a report by Casio, wireless data will Traffic will increase by 800%, which puts higher demands on the capacity of wireless communication systems. In order to improve system capacity, network coverage and scalability, heterogeneous networks composed of macro base stations, micro base stations, and pico base stations are becoming the development trend of wireless networks. [0003] In wireless data transmiss...

AI Technical Summary

Problems solved by technology

The optimization of traditional resource allocation methods usually aims at maximizing system capacity, and usually allocates more resources to users with better channel quality, and allocates less or even no resources to users with poor channel quality. Although this is beneficial to the system The overall capacity is improved, but it will cause some users to have poor service quality or even no service, resulting in an unbalanced user service quality, which has a major impact on operators, so more and more resource allocation needs to be weighed by the system Throughput and user service fairness

[0006] IEEE Transactions on Vehicular Technology, Issue 99 "Backhaul-Aware User Association and Resource Allocation for Energy- Constrained HetNets" and IEEE Transactions on Wireless Communications, Issue 99 "Analysis and Optimization of Caching and Multicasting in Large-Scale Cache -Enabled Wireless Networks" only considers the situation that the user is only allowed to access a small cell, the degree of freedom of resources is reduced, and the chance of the user to obtain files through the small cell is also greatly reduced compared with the case of multiple links

”OptimalCaching and User Association in Cache-enabled Heterogeous wireless networks”( arXiv:1604.05828 [cs.IT]) In the model considered, users are not covered by small cells, and the overall performance of the system is optimized to minimize the average delay, which will result in poor rate performance for some users, and does not take into account the fairness of users in the network Sex is the point that needs to be improved urgently

[0007] Although the above-mentioned existing user access technologies and power allocation technologies have the effect of increasing network throughput and optimizing network performance, however, in these articles, users can only access one base station or even some cannot access the base station. The ability to select channel links and available resources is weakened, and, because of the singleness of user links, the optimization goal is to minimize the average delay or maximize the total rate, which will make the delay or rate of some users Poor performance, unfairness among users in the network

In fact, in most heterogeneous networks, users have multiple links to choose from, which is the biggest defect of the above-mentioned technology

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