Space sense random access with collision mitigation in uplink WLANs
IEEE Communications Letters
Wireless networks with retransmission diversity and carrier-sense multiple access
IEEE Transactions on Signal Processing
Design and analysis of a splitting algorithm for a multi-packet reception ALOHA system
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Mathematical analysis of throughput bounds in random access with ZIGZAG decoding
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Channel aware distributed random access
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Monotonicity of constrained optimal transmission policies in correlated fading channels with ARQ
IEEE Transactions on Signal Processing
Cross-layer channel-aware approaches for modern wireless networks
MACOM'10 Proceedings of the Third international conference on Multiple access communications
Wireless Personal Communications: An International Journal
Mathematical Analysis of Throughput Bounds in Random Access with ZigZag Decoding
Mobile Networks and Applications
Channel-aware distributed medium access control
IEEE/ACM Transactions on Networking (TON)
| Hi-index | 35.69 |
Perfect decentralized channel state information (CSI) is utilized to design an optimal distributed medium access control (MAC) protocol for wireless local area networks (WLANs) with the multipacket reception capability, which is available in CDMA systems for example. In particular, we consider the scenario where a finite number of users transmit packets to a common access point via a channel-aware ALOHA protocol. We analyze the structure of the optimal channel-aware transmission policies for both the spatially homogeneous WLAN system model, where users deploy identical transmission policies, and the spatially heterogeneous WLAN system model, where users are allowed to deploy different transmission policies. It is shown that the optimal transmission policy is nonrandomized and piecewise continuous with respect to the channel state. Furthermore, we prove for CDMA systems, which represent the most important example of networks with the MPR capability, that under a suitable condition, there exists a channel state threshold beyond which it is optimal not to transmit. Last, we propose a provably convergent stochastic approximation algorithm for estimating the optimal transmission policy for spatially homogeneous networked users. Numerical studies illustrate the performance of the algorithm and the degenerate, nonrandomized structure of the optimal transmission policy.