Stochastic control of path optimization for inter-switch handoffs in wireless ATM networks
IEEE/ACM Transactions on Networking (TON)
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Cross-Layer Resource-Consumption Optimization for Mobile Multicast in Wireless Networks
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Cross-Layer optimization for LDPC-coded multirate multiuser systems with QoS constraints
IEEE Transactions on Signal Processing
Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Delay-constrained capacity with causal feedback
IEEE Transactions on Information Theory
Optimum scheduling and memory management in input queued switches with finite buffer space
IEEE Transactions on Information Theory
Optimal Power and Rate Control for Minimal Average Delay: The Single-User Case
IEEE Transactions on Information Theory
On the Performance of a Two-User MIMO Downlink System in Heavy Traffic
IEEE Transactions on Information Theory
Cross-layer scheduling with prescribed QoS guarantees in adaptive wireless networks
IEEE Journal on Selected Areas in Communications
Adaptive downlink scheduling and rate selection: a cross-layer design
IEEE Journal on Selected Areas in Communications
| Hi-index | 754.84 |
It is well known that cross-layer scheduling which adapts power, rate and user allocation can achieve significant gain on system capacity. However, conventional cross-layer designs all require channel state information at the base station (CSIT) which is difficult to obtain in practice. In this paper, we focus on cross-layer resource optimization based on ACK/NAK feedback flows in orthogonal frequency-division multiplexing (OFDM) systems without explicit CSIT. While the problem can be modeled as Markov decision process (MDP), brute-force approach by policy iteration or value iteration cannot lead to any viable solution. Thus, we derive a simple closed-form solution for the MDP cross-layer problem, which is asymptotically optimal for sufficiently small target packet error rate (PER). The proposed solution also has low complexity and is suitable for real-time implementation. It is also shown to achieve significant performance gain compared with systems that do not utilize the ACK/NAK feedbacks for cross-layer designs or cross-layer systems that utilize very unreliable CSIT for adaptation with mismatch in CSIT error statistics. Asymptotic analysis is also provided to obtain useful design insights.