A method for discrete stochastic optimization
Management Science
Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
Receiver initiated MAC design for ad hoc networks based on multiuser detection
Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness
Achieving single channel, full duplex wireless communication
Proceedings of the sixteenth annual international conference on Mobile computing and networking
On the effect of self-interference cancelation in multihop wireless networks
EURASIP Journal on Wireless Communications and Networking
Adaptive MIMO antenna selection via discrete stochastic optimization
IEEE Transactions on Signal Processing
A novel multiple access scheme over multi-packet reception channels for wireless multimedia networks
IEEE Transactions on Wireless Communications
Linear multiuser receivers: effective interference, effective bandwidth and user capacity
IEEE Transactions on Information Theory
Spreading code optimization and adaptation in CDMA via discrete stochastic approximation
IEEE Transactions on Information Theory
Exploiting decentralized channel state information for random access
IEEE Transactions on Information Theory
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Applications of unmanned aerial vehicle (UAV) ad-hoc networks have raised challenges in the design of distributed scheduling schemes since those applications require stringent quality of service (QoS) in complicated environments. Most existing scheduling designs for UAV ad-hoc networks are based on traditional physical layer techniques, such as half-duplex radios without multi-packet reception capability. However, recent advances in interference cancellation and signal processing techniques can enable full-duplex radios (FDR) and multi-packet reception (MPR) capability, which will have significant impacts on the design of link layer algorithm, especially scheduling. In this paper, we study the distributed scheduling issue in UAV ad-hoc networks with FDRs and MPR capability. The distributed scheduling problem in the presence of perfect and imperfect channel state information are formulated as a combinatorial optimization problem and a discrete stochastic optimization problem, respectively. Simulation results show that physical layer FDR and MPR capability have significant impacts on the performance of UAV ad-hoc networks. We also investigate the convergence property of proposed scheme and the effect of channel estimiation errors.