Power Control and Frequency Band Selection Policies for Underlay MIMO Cognitive Radio

被引:5
作者
Chaudhari, Shailesh [1 ]
Cabric, Danijela [1 ]
机构
[1] Univ Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USA
基金
美国国家科学基金会;
关键词
Band selection; MIMO; power control; temporal correlation; underlay cognitive radio; RESOURCE-ALLOCATION; CHANNELS; SPECTRUM; DESIGN; OPTIMALITY; NETWORKS; SYSTEMS; ACCESS;
D O I
10.1109/TCCN.2019.2904266
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
We study power control and frequency band selection policies for multi-band underlay MIMO cognitive radio with the objective of maximizing the rate of a secondary user (SU) link while limiting the interference leakage toward primary users (PUs) below a threshold. The goal of the SU in each policy is to select one frequency band in each time slot and determine the transmit power. To limit the interference toward PU in time-varying channels, we propose fixed and dynamic transmit power control schemes which depend on PU traffic and the temporal correlation of channels between the SU and the PU. We study the performance of frequency band selection policies that use fixed or dynamic power control. We show that dynamic frequency band selection policies, e.g., policies based on multi-armed bandit framework, wherein SU selects a different frequency band in each slot, result in higher interference toward PU as compared to the fixed band policy wherein SU stays on one band. We also provide an expression for the gap between the rate achieved by SU under a clairvoyant policy and the fixed band policy. It is observed that this gap reduces with increased temporal correlation and with increased number of SU antennas.
引用
收藏
页码:304 / 317
页数:14
相关论文
共 33 条
[1]  
3GPP, 2017, 36211 3GPP TS
[2]   Precoding for MIMO Channels in Cognitive Radio Networks with CSI Uncertainties and for MIMO Compound Capacity [J].
Al-Ali, Mohannad H. ;
Ho, Dominic K. C. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (15) :3976-3989
[3]  
[Anonymous], 2012, 36828 3GPP TR
[4]  
[Anonymous], 2003, COMPUTATIONAL WORKLO
[5]  
Biglieri E., 2012, Principles of Cognitive Radio
[6]  
Chaudhari S, 2017, IEEE GLOB CONF SIG, P224, DOI 10.1109/GlobalSIP.2017.8308637
[7]   Interpolation based transmit beamforming for MIMO-OFDM with limited feedback [J].
Choi, J ;
Heath, RW .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (11) :4125-4135
[8]  
Dai WH, 2014, IEEE INT CONF SENS, P64, DOI 10.1109/SAHCN.2014.6990328
[9]   Resource Allocation for Underlay Cognitive Radio Networks: A Survey [J].
El Tanab, Manal ;
Hamouda, Walaa .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (02) :1249-1276
[10]   Throughput and Collision Analysis of Multichannel Multistage Spectrum Sensing Algorithms [J].
Gabran, Wesam ;
Pawelczak, Przemyslaw ;
Cabric, Danijela .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (07) :3309-3323