科研之友
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摘要
A generalized hybrid digital-analog (HDA) framework with the combination of orthogonal and nonorthogonal multiplexing is proposed, which can strike a balance between interference and resource for Internet of Things application. The optimal resource allocation for the proposed scheme is formalized as a 3-D mixed integer programming problem, which is a function of digital bandwidth, orthogonal power, and nonorthogonal power of analog signal. With divide and conquer strategy, we first search the space of digital bandwidth, which is constructed by the possible number of subcarriers in orthogonal frequency division multiplex system, then the optimization problem is reduced to a 2-D continuous optimization problem. We further decompose it into two 1-D continuous optimization problems, and prove they are convex 1-D functions unconditionally or conditionally, respectively. With their convexity, the 2-D optimization problem can be solved with iterative gradient descent algorithm. We design a resource allocation algorithm to solve the optimization problem in practical system. Our experimental results show that the proposed algorithm outperforms nonorthogonal multiplexing HDA by 1-3 dB in terms of peak signal to noise ratio.
