Resource allocation for multiple description coding multicast in OFDM-based cognitive radio networks  

作　　者：LI Sheng-yu XU Wen-jun GAO Yan NIU Kai LIN Jia-ru 

机构地区：[1]School of Telecommunication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2012年第5期51-57,共7页中国邮电高校学报（英文版）

基　　金：supported by the National Basic Research Program of China(2009CB320401);the National Natural Science Foundation of China(61101117);the Research Funds for Doctoral Program of Higher Education of China(20090005110003);the National Key Scientific and Technological Project of China(2010ZX03003-001, 2012ZX03004005002);the Fundamental Research Funds for the Central Universities(BUPT2012RC0112)

摘　　要：The resource allocation scheme for the multiple description coding multicast （MDCM） in orthogonal frequency division multiplexing （OFDM-based） cognitive radio network （CRN） is studied in this paper, aiming at maximizing the total throughput of cognitive radio （CR） users, with constraints on sum transmit power, the maximal receiving rate of each CR user and the maximal total interference introduced to each primary user. With the analysis of the model, an algorithm, which consists of subcarrier assignment and 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 transmit power into small slices and allocates them one by one. Moreover, the suboptimal algorithm is modified by adding an advanced water-filling process to improve the performance. The simulation results obtained in this paper show that the system throughput using the MDCM scheme is much higher than that using the conventional multicast （CM） scheme and the performance of the proposed suboptimal algorithms can approximate the MDCM scheme very well.The resource allocation scheme for the multiple description coding multicast （MDCM） in orthogonal frequency division multiplexing （OFDM-based） cognitive radio network （CRN） is studied in this paper, aiming at maximizing the total throughput of cognitive radio （CR） users, with constraints on sum transmit power, the maximal receiving rate of each CR user and the maximal total interference introduced to each primary user. With the analysis of the model, an algorithm, which consists of subcarrier assignment and 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 transmit power into small slices and allocates them one by one. Moreover, the suboptimal algorithm is modified by adding an advanced water-filling process to improve the performance. The simulation results obtained in this paper show that the system throughput using the MDCM scheme is much higher than that using the conventional multicast （CM） scheme and the performance of the proposed suboptimal algorithms can approximate the MDCM scheme very well.

关 键 词：resource allocation MDCM cognitive radio sub-gradient method 

分 类 号：TN919.81[电子电信—通信与信息系统] TN929.5[电子电信—信息与通信工程]