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

Sensors ◽  
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.

scholarly journals Secrecy Balancing over Two-User MISO Interference Channels with Rician Fading

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jiqing Ni ◽  
Zesong Fei ◽  
Chengwen Xing ◽  
Di Zhao ◽  
Niwei Wang ◽  
...  
Keyword(s):  
Channel Model ◽  
Rician Fading ◽  
Interference Channels ◽  
Interference Channel ◽  
Secrecy Rate ◽  
Single Output ◽  
Multiple Input ◽  
Simulation Results ◽  
Rician Channel ◽  
Ergodic Secrecy Rate

This paper considers a 2-user multiple-input single-output (MISO) interference channel with confidential messages (IFC-CM), in which the Rician channel model is assumed. The coordinated beamforming vectors at the two transmitters have the similar parameterizations as those for perfect CSI, which could be optimized jointly and achieved by agreeing on the real parameters between the two users. Our main contribution is that a quadratic relationship between the two real-valued parameters can be derived for the Rician channel to reach the ergodic secrecy rate balancing point. Simulation results present the secrecy performance over the 2-user MISO IFC-CM scenario.

Transceiver Designs to Improve Spectrum Utilization in MIMO Interference Channels

2015 ◽  
Vol 1 ◽  
pp. 47
Author(s):  
Le Ty Khanh ◽  
Ha Hoang Kha ◽  
Nguyen Minh Hoang
Keyword(s):  
Multiple Input Multiple Output ◽  
Primary User ◽  
Radio Spectrum ◽  
Interference Channels ◽  
Spectrum Utilization ◽  
Secondary Users ◽  
Interference Level ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Interference Channels

This paper is concerned with a multiple-input multiple-output (MIMO) multi-user wireless networks in which multiple secondary users (SUs) can share the same radio spectrum with a single primary user (PU). The design problems of the transceivers in such MIMO interference channels are to find the precoding matrices at the transmitters and the receiving matrices at the receivers to minimize the mean square error (MSE) or to maximize the sum-rate of the SUs while guaranteeing the interference power at the PU receiver below an acceptable threshold. In this paper, we consider to design the transceivers using the interference alignment techniques. The objective is to align the interference at the SUs and maintain an acceptable leakage interference level from the SUs into the signal subspace of the PU receiver. Due to the nonlinearity and nonconvexity of the underlaying problems, we develop an alternating algorithm which efficiently solves a convex optimization in each iteration. The numerical results are provided to validate the performance of our algorithm.

Joint Linear Precoding and Power Allocation for MU-MIMO CR Systems with Imperfect CSI

2014 ◽  
Vol 548-549 ◽  
pp. 1363-1367
Author(s):  
Wei Wang ◽  
Yan Hui Lu ◽  
Duan Yang Li ◽  
Shou Yi Yang
Keyword(s):  
Power Allocation ◽  
Wireless Systems ◽  
Primary User ◽  
Negative Influence ◽  
Secondary User ◽  
Linear Precoding ◽  
Imperfect Csi ◽  
Secondary Users ◽  
Multiple Input ◽  
The Ideal

This paper proposes a joint linear precoding and power allocation design scheme for multiuser multiple-input multiple-out (MU-MIMO) cognitive radio (CR) systems, where secondary users share the same spectrum with one primary user. The interference power constraint required by the primary user and the multiuser interference generated by secondary users impose negative influence on each secondary user. As a result, it is difficult for secondary users to achieve the ideal information rate. In order to solve the above problem, we respectively adopt Channel Inversion (CI) and Block Diagonalization (BD) for precoding matrices which are set at the transmitter of each secondary user, and then make the system reach a steady state by power allocation. In fact, perfect CSI cannot exist in wireless systems. Therefore, it’s necessary to consider imperfect CSI. Simulation results show BD gains a higher rate for secondary users, but imperfect CSI causes less loss to CI.

Joint Beamforming and Power Optimization with Per-Antenna Power Constraints in Cognitive MISO System

2015 ◽  
Vol 742 ◽  
pp. 674-678
Author(s):  
Wen Tao Zhu ◽  
Xu Liu ◽  
Jing Bo Yang
Keyword(s):  
Power Allocation ◽  
Channel State ◽  
Power Constraints ◽  
Downlink Beamforming ◽  
Single Output ◽  
Second Order Cone ◽  
Multiple Input ◽  
Convex Problem ◽  
Cr System ◽  
The Given

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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