Abstract
This paper investigated an energy-efficient beamforming and power allocation strategy for cognitive heterogeneous networks with multiple-input-single-output interference channels. To maxi-mize the sum energy efficiency of secondary users (SUs) while keeping the interference to primary networks under a predetermined threshold, I propose a distributed resource allocation algorithm using dual methods, in which each SU updates its beamforming vector and transmit power itera-tively without any information sharing until convergence. The simulation results verify that the performance of the proposed scheme is comparable to that of the optimal scheme but with a much shorter computation time.
Original language | English |
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Article number | 3186 |
Journal | Sensors |
Volume | 21 |
Issue number | 9 |
DOIs | |
State | Published - 1 May 2021 |
Keywords
- Cognitive heterogeneous networks
- Distributed algorithm
- Energy efficiency
- Joint optimization
- MISO interference channel