A Delay-Optimized Resource Allocation Method

Abstract

The invention discloses a time delay optimized resource allocation method, which relates to the technical field of wireless communication; firstly, a wireless resource manager determines the users to be scheduled on the current time slot, and according to The QSI on the QSI calculates the priority factor of each service of the user to be scheduled, and generates the priority order table of the user service, which is used to guide the wireless resource manager to control the transmission power required for transmitting the data of the highest priority service of the user to be scheduled And the wireless resource block allocation decision, then, send the resource allocation result to the corresponding user to be scheduled; finally, update the QSI of each service corresponding to each user's buffer queue; the present invention ensures that all buffer queues in the network are bounded In order to reduce the average transmission delay of services, and achieve network stability, the energy efficiency of the network can approach the optimal value.

Description

Technical field [0001] The present invention relates to the field of wireless communication technology, in particular to a time delay optimized resource allocation method in a wireless access network. Background technique [0002] According to Cisco’s 2016 public research report, more than 55% of data traffic currently comes from video streaming and voice conversation services. Such delay-sensitive real-time services will continue to grow exponentially in the next 5 years. In 2020, the data traffic generated by real-time services will account for more than 75% of the total data traffic. Therefore, in order to ensure that real-time services run by smart terminals such as smart phones, tablets, and wearable devices can bring customers a better user experience, mobile Internet applications have put forward higher requirements on the latency performance of wireless networks. [0003] The demand of real-time services for low latency of wireless networks makes traditional resource alloc...

AI Technical Summary

Problems solved by technology

[0005] At present, most of the resource allocation methods that optimize the delay for real-time services usually consider the user's delay, service priority and user's current CSI, which can meet the user's QoS requirements for real-time services and achieve a better network. Overall performance, but the complexity of related algorithms is usually high, and it cannot take into account the differentiated QoS requirements of real-time and non-real-time services at the same time, or there may be a high rate of network data packet discarding, which cannot guarantee network stability, or Lack of consideration for achieving energy-efficient performance in building green communication networks

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