Introduction to queueing networks
Introduction to queueing networks
Elements of information theory
Elements of information theory
Rate-based congestion control for ATM networks
ACM SIGCOMM Computer Communication Review
Power allocation and routing in multibeam satellites with time-varying channels
IEEE/ACM Transactions on Networking (TON)
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
On the throughput, capacity, and stability regions of random multiple access
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Achieving 100% throughput in an input-queued switch
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 1
Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel
IEEE Transactions on Wireless Communications
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Diversity-multiplexing tradeoff in multiple-access channels
IEEE Transactions on Information Theory
Combining queueing theory with information theory for multiaccess
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
We study the relation between the stable throughput regions and the capacity regions for a Gaussian multiple-access channel. Our main focus is to study how the extent of side information about source arrival statistics and/or instantaneous queue states at each transmitter influence the achievable stable throughput region. Two notions of MAC capacity are studied. The first notion is the conventional Shannon capacity which relies on large coding block lengths for finite SNR, while the second uses finite code blocks with high SNR. We find that the stable throughput region coincides with the Shannon capacity region for many scenarios of side information, where side information is defined as a mix of statistical description and instantaneous queue states. However, a lack of sufficient side information about arrival statistics can lead to a significant reduction in the stable throughput region. Finally, our results lend strong support to centralized architectures implementing some form of congestion/rate control to achieve Shannon capacity, primarily to counter lack of detailed information about source statistics at the mobile nodes.