In this paper, we investigate the delay-aware dynamic resource managementproblem for multi-service transmission in high-speed railway wirelesscommunications, with a focus on resource allocation among the services andpower control along the time. By taking account of average delay requirementsand power constraints, the considered problem is formulated into a stochasticoptimization problem, rather than pursuing the traditional convex optimizationmeans. Inspired by Lyapunov optimization theory, the intractable stochasticoptimization problem is transformed into a tractable deterministic optimizationproblem, which is a mixed-integer resource management problem. By exploitingthe specific problem structure, the mixed-integer resource management problemis equivalently transformed into a single variable problem, which can beeffectively solved by the golden section search method with guaranteed globaloptimality. Finally, we propose a dynamic resource management algorithm tosolve the original stochastic optimization problem. Simulation results show theadvantage of the proposed dynamic algorithm and reveal that there exists afundamental tradeoff between delay requirements and power consumption.
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