An Adaptive Power Allocation and Coding Scheme for Improving Achievable Rate of the Gaussian Interference Channel

The best coding scheme for Gaussian interference channel (GIC) is still an open problem so far, and has attracted much attention in the field of wireless communication due to it plays an important role in combating co-channel interference. In this paper, an adaptive power allocation and coding scheme based on time sharing (TS) strategy is proposed for the twouser GIC to coordinate the interference and achieve a higher sum-rate. In the proposed scheme, the codewords are divided into some segments, and the power of each segment is jointly optimized for the two users to maximize the sum-rate. To solve the power allocation problem, a heuristic search algorithm based on the optimal path planning algorithm is proposed. Simulation results show that the proposed scheme can achieve a higher sum-rate compared with the conventional coding schemes.

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