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