Dynamic Power Control for Delay-Aware Device-to-Device Communications
arXiv:1504.01826 · doi:10.1109/JSAC.2014.2369614
Abstract
In this paper, we consider the dynamic power control for delay-aware D2D communications. The stochastic optimization problem is formulated as an infinite horizon average cost Markov decision process. To deal with the curse of dimensionality, we utilize the interference filtering property of the CSMA-like MAC protocol and derive a closed-form approximate priority function and the associated error bound using perturbation analysis. Based on the closed-form approximate priority function, we propose a low-complexity power control algorithm solving the per-stage optimization problem. The proposed solution is further shown to be asymptotically optimal for a sufficiently large carrier sensing distance. Finally, the proposed power control scheme is compared with various baselines through simulations, and it is shown that significant performance gain can be achieved.
arXiv admin note: substantial text overlap with arXiv:1502.07966
References in corpus (4)
- The MIMO Iterative Waterfilling Algorithm
- A Survey on Delay-Aware Resource Control for Wireless Systems --- Large Deviation Theory, Stochastic Lyapunov Drift and Distributed Stochastic Learning
- Spectrum Sharing Scheme Between Cellular Users and Ad-hoc Device-to-Device Users
- Queue-Aware Dynamic Clustering and Power Allocation for Network MIMO Systems via Distributive Stochastic Learning