Power allocation scheme based on sum capacity maximization for signal-to-leakage-and-noise ratio precoded multiuser multiple-input single-output downlink

Joint Beamforming and power allocation schemes are considered for cognitive radio (CR) multiple input single output (MISO) system in this paper. We considered the robust downlink beamforming and power allocation problem with per-antenna power constraints which is more realistic in practice, instead of sum-power constraint, under the imperfect channel state information (CSI). Since the given optimization problem is a non-convex problem which is difficult to handle, we transformed it into second order cone program (SOCP) problem, which can be solved efficiently. Simulation shows that the proposed scheme indeed has a better performance in CR system.

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Secure multiple-input single-output communication – Part I: secrecy rates and switched power allocation

IET Communications ◽

10.1049/iet-com.2013.0563 ◽

2014 ◽

Vol 8 (8) ◽

pp. 1217-1226 ◽

Cited By ~ 1

Author(s):

Thang Van Nguyen ◽

Jin Sam Kwak ◽

Hyundong Shin ◽

Youngmin Jeong

Keyword(s):

Power Allocation ◽

Single Output ◽

Multiple Input

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Power allocation scheme in time division multiple access distributed multiple-input multiple-output interference channels

IET Communications ◽

10.1049/iet-com.2012.0488 ◽

2013 ◽

Vol 7 (5) ◽

pp. 391-396 ◽

Cited By ~ 2

Author(s):

Seyed Pooya Shariatpanahi ◽

Hamed Shah-Mansouri ◽

Babak Hossein Khalaj

Keyword(s):

Power Allocation ◽

Multiple Access ◽

Multiple Input Multiple Output ◽

Time Division Multiple Access ◽

Interference Channels ◽

Allocation Scheme ◽

Output Interference ◽

Multiple Input ◽

Input Multiple Output ◽

Time Division

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Distributed Beamforming and Power Allocation for Heterogeneous Networks with MISO Interference Channel

Sensors ◽

10.3390/s21082606 ◽

2021 ◽

Vol 21 (8) ◽

pp. 2606

Author(s):

Kisong Lee

Keyword(s):

Power Allocation ◽

Heterogeneous Networks ◽

Computation Time ◽

Primary User ◽

Interference Channels ◽

Interference Channel ◽

Distributed Beamforming ◽

Single Output ◽

Multiple Input ◽

High Computational Complexity

To address the limitations of centralized resource allocation, i.e., high computational complexity and signaling overhead, a distributed beamforming and power allocation strategy is proposed for heterogeneous networks with multiple-input-single-output (MISO) interference channels. In the proposed scheme, each secondary user transceiver pair (SU TP) determines the beamforming vector and transmits power to maximize its own spectral efficiency (SE) while keeping the interference to the primary user below a predetermined threshold, and such resource management for each SU TP is updated iteratively without any information sharing until the strategies for all SU TPs converge. The simulation confirms that the proposed scheme can achieve a performance comparable to that of a centralized approach with a much lower computation time, e.g., less than 5% degradation in SE while improving computation time by more than 10 times.

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