scholarly journals Feedback Bits Allocation for Guaranteed Bit Rate Services in Cooperative Cognitive Radio Networks

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 469
Author(s):  
Deokhui Lee ◽  
Jaewoo So
Keyword(s):  
Cognitive Radio ◽  
Data Rate ◽  
Allocation Scheme ◽  
Bit Rate ◽  
Secondary Users ◽  
Cooperative Cognitive Radio Networks ◽  
Interference Constraint ◽  
Minimum Data ◽  
Wireless Users ◽  
Network Interference

As the number of users using multimedia sharing services increases, the need to ensure the minimum data rate of wireless users increases. Meanwhile, in the cooperative cognitive radio (CR) network, it is important to provide the quality-of-services for secondary users (SUs) while satisfying the inter-network interference constraint from secondary transmitters to primary users (PUs). Under the limited feedback resource constraint, this paper proposes a feedback bits allocation scheme for the guaranteed bit rate services of SUs while satisfying the inter-network interference constraint. This paper investigates how many feedback bits between the ST and PUs are required to guarantee the minimum data rate of SUs and then proposes a feedback bits allocation scheme that maximizes the average sum rate of SUs while reducing the outage probability of SUs.

scholarly journals Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Mehdi Ghamari Adian
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Transmit Beamforming ◽  
Secondary Users ◽  
Cooperative Cognitive Radio Networks ◽  
Single Antenna ◽  
Antenna Subset Selection ◽  
Cooperative Beamforming ◽  
Reduced Complexity

An approach for beamforming with reduced complexity in MIMO cooperative cognitive radio networks (MIMO-CCRN) is presented. Specifically, a suboptimal approach with reduced complexity is proposed to jointly determine the transmit beamforming (TB) and cooperative beamforming (CB) weight vectors along with antenna subset selection in MIMO-CCRN. Two multiantenna secondary users (SU) constitute the desired link, one acting as transmitter (SU TX) and the other as receiver (SU RX) and they coexist with single-antenna primary and secondary users. Some of single antenna secondary users are recruited by desired link as cooperative relay. The maximization of the achievable rates in the desired link is the objective of this work, provided to interference constraints on the primary users are not violated. The objective is achieved by exploiting transmit beamforming at SU TX, cooperation of some secondary users, and cooperative beamforming. Meanwhile, the costs associated with RF chains at the radio front end at SU RX are reduced. Through simulations, it is shown that better performance in the desired link is attained, as a result of cooperation of SUs.

scholarly journals An Energy-Efficient Strategy for Secondary Users in Cooperative Cognitive Radio Networks for Green Communications

2016 ◽  
Vol 34 (12) ◽  
pp. 3195-3207 ◽  
Author(s):  
Jianqing Liu ◽  
Haichuan Ding ◽  
Ying Cai ◽  
Hao Yue ◽  
Yuguang Fang ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Energy Efficient ◽  
Radio Networks ◽  
Green Communications ◽  
Secondary Users ◽  
Efficient Strategy ◽  
Cooperative Cognitive Radio Networks

scholarly journals Probabilistical Robust Power Control for Cognitive Radio Networks under Interference Uncertainty Conditions

2018 ◽  
Vol 14 (07) ◽  
pp. 90
Author(s):  
Lingling Chen ◽  
Zhiyi Fang ◽  
Xiaohui Zhao
Keyword(s):  
Cognitive Radio ◽  
Power Control ◽  
Cognitive Radio Networks ◽  
Orthogonal Frequency Division Multiplexing ◽  
Primary User ◽  
Radio Networks ◽  
Data Rate ◽  
Secondary Users ◽  
Worst Case ◽  
Robust Power Control

<p class="0abstract"><a name="OLE_LINK11"></a><a name="OLE_LINK12"></a><span lang="EN-US">The focus of this paper is to find a robust power control strategy with uncertain noise plus interference (NI) in </span><span lang="EN-US">cognitive radio networks (</span><span lang="EN-US">CRNs</span><span lang="EN-US">)in an </span><span lang="EN-US">under orthogonal frequency-division multiplexing (OFDM) framework. The optimization problem is formulated to maximize </span><span lang="EN-US">the </span><span lang="EN-US">data rate of secondary users (SUs) under the constraints o</span><span lang="EN-US">f</span><span lang="EN-US"> transmission power of each SU, probabilistic the transmit rate of each SU at each subcarrier and robust interference constraint of primary user. In consideration of the feedback errors from the quantization </span><span lang="EN-US">due to</span><span lang="EN-US"> uniform distribution, the probabilistic constraint is transformed into closed forms. By using Lagrange relaxation of the coupling constraints method and subgradient iterative algorithm in a distributed way, we solve this dual problem. Numerical simulation results show that our proposed algorithm is superior to the robust power control scheme based on interference gain worst case approach and non-robust algorithm without quantization error in perfect channels in the improvement of data rate of each SU, convergence speed and computational complexity.</span></p>

Fair and Efficient Spectrum Splitting for Unlicensed Secondary Users in Cooperative Cognitive Radio Networks

2012 ◽  
Vol 71 (1) ◽  
pp. 299-316 ◽  
Author(s):  
Guopeng Zhang ◽  
Kun Yang ◽  
Jinling Song ◽  
Yanwei Li
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Secondary Users ◽  
Cooperative Cognitive Radio Networks ◽  
Spectrum Splitting
Sign in / Sign up

Export Citation Format

Share Document