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Abdol Hamid Aghvami
Researcher at King's College London
Publications - 257
Citations - 4320
Abdol Hamid Aghvami is an academic researcher from King's College London. The author has contributed to research in topics: Fading & Handover. The author has an hindex of 35, co-authored 250 publications receiving 4118 citations. Previous affiliations of Abdol Hamid Aghvami include Orange S.A. & University of London.
Papers
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Energy Efficient Uplink Resource Allocation in LTE Networks with M2M/H2H Co-existence under Statistical QoS Guarantees
TL;DR: Numerical results, obtained using the invasive weed optimization algorithm, show that the proposed energy-efficient uplink design not only outperforms other algorithms in terms of energy efficiency while satisfying the QoS requirements, but also performs closer to the optimal design.
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Cognitive Radio game for secondary spectrum access problem
TL;DR: A framework for resource allocation in a secondary spectrum access scenario, where a group of cognitive radios access the resources of a primary system, and uses Sequential Quadratic Programming (SQP) to solve the proposed non-linearly constrained CRG optimization problem.
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Performance of a joint CDMA/PRMA protocol for mixed voice/data transmission for third generation mobile communication
A.E. Brand,Abdol Hamid Aghvami +1 more
TL;DR: A joint code-division multiple- access/packet-reservation multiple-access (CDMA/PRMA) technique is proposed and investigated as a candidate for an uplink protocol for third generation mobile communication systems.
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Teletraffic performance evaluation of microcellular personal communication networks (PCN's) with prioritized handoff procedures
TL;DR: In this paper, the authors evaluated four handoff priority-oriented channel allocation schemes and compared them with the conventional guard channel-based handover priority oriented channel allocation scheme, and found that some of the channel allocation algorithms studied improved the teletraffic capacity over the nonpriority and conventional guard case.
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Effect of Channel Uncertainty on the Mutual Information of MIMO Fading Channels
TL;DR: It is proved that when the input power at each user is uniformly distributed over its transmit antennas, the bounds on the mutual information are asymptotically tight for Gaussian input signals, and this tightness increases when the number of users increases.