M
Mohammad Reza Nakhai
Researcher at King's College London
Publications - 110
Citations - 1469
Mohammad Reza Nakhai is an academic researcher from King's College London. The author has contributed to research in topics: Communication channel & Cognitive radio. The author has an hindex of 19, co-authored 108 publications receiving 1362 citations. Previous affiliations of Mohammad Reza Nakhai include University of Cambridge & University of London.
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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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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.
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Interference-limited resource allocation for cognitive radio in orthogonal frequency-division multiplexing networks
TL;DR: Numerical results show the interference-limited scheduling approach to achieve excellent levels of efficiency and fairness by allocating resources more intelligently than proportional fair scheduling.
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Closed-form capacity expressions of orthogonalized correlated MIMO channels
TL;DR: This letter derives a closed form capacity expression over orthogonalized ergodic correlated Rayleigh and Ricean flat-fading MIMO channels, hence avoiding numerical integrations or Monte Carlo simulations.