提出了一种低复杂度的自适应比特和功率分配算法。在满足系统信息传输速率和误比特率限制的条件下,利用不精确的信道状态信息使多输入多输出系统的发送功率最小化.首先利用函数部分单调性将非凸最优化问题转化为凸优化问题,然后得到最优化问题在非负实数域内的闭合最优解,并将其调整成离散比特数,从而获得最终的比特和功率分配结果.仿真结果表明,该算法可以获得与最优的鲁棒贪婪比特和功率分配算法相同的分配结果和功率效率,而计算复杂度大幅度降低.
A low complexity bit and power allocation algorithm is proposed to minimize the total transmit power under transmission rate and bit error ratio constraints in multiple-input multiple-output systems with inaccurate channel state information. With monotony, the non-convex optimization problem is simplified to a convex one. Then the optimal solution is derived in the nonnegative real field. And the final bit and power allocation is obtained after adjusting the real solution into discrete bit numbers. The simulations show that the proposed algorithm has the same power efficiency with the optimal robust greedy algorithm while its computational complexity is much lower.