异构蜂窝网络中功率和资源分配博弈算法研究

doi:10.19678/j.issn.1000-3428.0059207

计算机工程 ›› 2021, Vol. 47 ›› Issue (10): 160-165,173. doi: 10.19678/j.issn.1000-3428.0059207

异构蜂窝网络中功率和资源分配博弈算法研究

孙晨, 张波

南昌航空大学软件学院, 南昌 330063

收稿日期:2020-08-10 修回日期:2020-09-25 发布日期:2020-10-09
作者简介:孙晨(1985-),男,讲师、博士,主研方向为无线资源管理、博弈论;张波,硕士研究生。
基金资助:
国家自然科学基金（61962037，61762065，61762067）；江西省教育厅科技项目（GJJ170615）。

Research on Game Algorithm for Power and Resource Allocation in Heterogeneous Cellular Network

SUN Chen, ZHANG Bo

Software School, Nanchang Hangkong University, Nanchang 330063, China

Received:2020-08-10 Revised:2020-09-25 Published:2020-10-09

摘要/Abstract

摘要： 基于D2D和中继异构蜂窝网络进行资源复用可获得系统性能增益，但同时也使得网络中的干扰更加复杂。针对该问题，提出功率和资源分配博弈（PRAG）算法，通过功率控制和资源分配对D2D和中继异构蜂窝网络进行干扰协调。基于代价参数设定D2D和中继链路效用函数，确定最佳发射功率。在此基础上，将生成的效用值矩阵参与博弈，选择合适的蜂窝用户进行资源复用。仿真结果表明，与等功率分配随机（EPAR）算法相比，PRAG算法能够在消耗更少功率的基础上获得更大的系统吞吐量。

关键词: D2D网络, 中继网络, 博弈论, 功率控制, 资源分配, 干扰协调

Abstract: Based on Device-to-Device(D2D) network and relay heterogeneous cellular network, resource reuse can be used to improve system performance, but it also complicates interference in the networks.To address the problem, a Power and Resource Allocation Game(PRAG) algorithm is proposed, which performs interference coordination in D2D network and relay heterogeneous cellular network through power control and resource allocation.Optimal transmitting power of D2D and relay links is derived in maximizing a utility function based a cost parameter.Then the optimal transmission power of D2D and relay links is determined.On this basis, the generated utility matrix is used in the game to choose suitable cellular users for resource reuse.Simulation results show that the proposed algorithm enables higher system throughput with less power compared with the Equal Power Allocation Random(EPAR) algorithm.

Key words: Device-to-Device(D2D) network, relay network, game theory, power control, resource allocation, interference coordination

中图分类号:

TP393

孙晨, 张波. 异构蜂窝网络中功率和资源分配博弈算法研究[J]. 计算机工程, 2021, 47(10): 160-165,173.

SUN Chen, ZHANG Bo. Research on Game Algorithm for Power and Resource Allocation in Heterogeneous Cellular Network[J]. Computer Engineering, 2021, 47(10): 160-165,173.

https://www.ecice06.com/CN/Y2021/V47/I10/160

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