S
Stephen V. Hanly
Researcher at Macquarie University
Publications - 185
Citations - 17124
Stephen V. Hanly is an academic researcher from Macquarie University. The author has contributed to research in topics: Wireless network & Beamforming. The author has an hindex of 35, co-authored 180 publications receiving 15394 citations. Previous affiliations of Stephen V. Hanly include Bell Labs & ULTra.
Papers
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Journal ArticleDOI
What Will 5G Be
Jeffrey G. Andrews,Stefano Buzzi,Wan Choi,Stephen V. Hanly,Angel Lozano,Anthony C. K. Soong,Jianzhong Charlie Zhang +6 more
TL;DR: This paper discusses all of these topics, identifying key challenges for future research and preliminary 5G standardization activities, while providing a comprehensive overview of the current literature, and in particular of the papers appearing in this special issue.
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Multi-Cell MIMO Cooperative Networks: A New Look at Interference
TL;DR: An overview of the theory and currently known techniques for multi-cell MIMO (multiple input multiple output) cooperation in wireless networks is presented and a few promising and quite fundamental research avenues are also suggested.
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Multiaccess fading channels. I. Polymatroid structure, optimal resource allocation and throughput capacities
David Tse,Stephen V. Hanly +1 more
TL;DR: This work focuses on the multiaccess fading channel with Gaussian noise, and defines two notions of capacity depending on whether the traffic is delay-sensitive or not, and characterize the throughput capacity region which contains the long-term achievable rates through the time-varying channel.
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Linear multiuser receivers: effective interference, effective bandwidth and user capacity
David Tse,Stephen V. Hanly +1 more
TL;DR: It is shown that in a large system with each user using random spreading sequences, the limiting interference effects under several linear multiuser receivers can be decoupled, such that each interferer can be ascribed a level of effective interference that it provides to the user to be demodulated.
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An algorithm for combined cell-site selection and power control to maximize cellular spread spectrum capacity
TL;DR: It is shown that the algorithm converges to an allocation of users to cells that is optimal in the sense that interference is minimized, and how effectively the algorithm relieves local network congestion is shown.