Resource Allocation for Multiple Description Coding Multicast in OFDM-based Cognitive Radio Networks

doi:10.1016/S1005-8885(11)60300-2

中国邮电高校学报(英文) ›› 2012, Vol. 19 ›› Issue (5): 51-57.doi: 10.1016/S1005-8885(11)60300-2

Resource Allocation for Multiple Description Coding Multicast in OFDM-based Cognitive Radio Networks

李胜钰¹,许文俊²,高燕¹,牛凯¹,林家儒¹

1. 北京邮电大学
2. 北京邮电大学，信息与通信工程学院，信息理论与技术教研中心

收稿日期:2012-03-23 修回日期:2012-06-08 出版日期:2012-10-31 发布日期:2012-10-08
通讯作者: 李胜钰 E-mail:lishengyu121@qq.com
基金资助:
国家重点基础研究项目;国家自然科学基金项目;高等学校博士学科点专项科研基金项目;国家重大科技专项项目

Resource Allocation for Multiple Description Coding Multicast in OFDM-based Cognitive Radio Networks

LI Sheng-yu , XU Wen-jun, GAO Yan, NIU Kai, LIN Jia-ru

School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2012-03-23 Revised:2012-06-08 Online:2012-10-31 Published:2012-10-08
Contact: Sheng-Yu LI E-mail:lishengyu121@qq.com
Supported by:
National Basic Research Program of China;Research Funds for Doctoral Program of Higher Education of China;National Key Scientific and Technological Project of China

摘要/Abstract

摘要：

本文研究了认知无线网络中多描述编码多播的资源分配方案，旨在满足次基站总发送功率约束、次级用户最大接收速率约束以及主用户最大干扰约束下，最大化次级用户的接收速率之和。在对问了题进行数学建模并仔细分析该模型后，论文提出一种近似最优算法，该算法包含两部分：子载波分配以及子载波分配完之后的功率分配，后者使用子梯度迭方法。同时为了降低算法的实现复杂度，论文提出了一种次优算法，该算法将全部功率分为多个等值的“功率片”，并且逐片进行功率分配。之后，为了改善该次优算法的性能，论文在该算法执行前添加了增强注水过程。仿真结果表明较之传统多播，使用多描述编码多播可以获得更高的网络吞吐量，并且论文所提次优算法的性能可以很高接近上面的近似最优算法。

关键词:

resource allocation, MDCM, cognitive radio, sub-gradient method

Abstract:

The resource allocation scheme for the multiple description coding multicast (MDCM) in OFDM-based cognitive radio network (CRN) is studied, aiming at maximizing the total throughput of the CR users, with constraints on sum transmit power, maximal receiving rate of each CR user and the interference introduced to individual primary user. With the analysis of the model, an algorithm consisting of two parts: the subcarrier assignment and the power allocation using the sub-gradient updating method, is proposed. Meanwhile, to reduce the complexity, a suboptimal algorithm is also proposed which divides the total power into small slices and allocates them one by one. Then the suboptimal algorithm is modified by adding the advanced water-filling process to improve the performance. The simulation results show that the throughput using the MDCM scheme is much higher than that using the conventional multicast (CVM) scheme and the performance of the proposed suboptimal algorithms approximates the above MDCM scheme using sub-gradient updating method very well.

Key words:

resource allocation, MDCM, cognitive radio, sub-gradient method

中图分类号:

TN929.5

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Resource Allocation for Multiple Description Coding Multicast in OFDM-based Cognitive Radio Networks

Resource Allocation for Multiple Description Coding Multicast in OFDM-based Cognitive Radio Networks

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