全双工中继协作下认知MIMO系统的自干扰收集
|
摘要
针对传统基于能量收集的全双工认知多输入多输出(MIMO)系统忽略自干扰对提高能量利用率的作用问题,建立了基于全双工MIMO的认知中继网络,通过能量收集技术进行自干扰收集.研究了系统能量效率最大化问题,在满足中继发送功率限制等约束条件下,对传输信号协方差和功率划分因子进行联合优化.利用半定松弛算法将系统优化问题转化成凸优化问题,并结合注水功率算法分析得到最优解.仿真结果表明:与传统自干扰消除模式相比,所提方案在保证系统频谱效率的同时,系统能量效率还可提高13.9%;在自干扰收集模式下,与系统容量最大化方案相比,所提方案每传输1 bit信息可降低近0.1 J的功率消耗.
In conventional full-duplex cognitive MIMO(multiple-input multiple-output) networks based on the energy harvesting,the self-interference was cancelled,which aimed to improve the spectrum efficiency.However,the role of the self-interference to improve the energy utilization was ignored. To tackle this, a cognitive relaying network based on full-duplex and MIMO was established to carry out self-interference harvesting through energy harvesting technique.The energy efficiency maximization was researched, and the transmit signal covariance matrix and the power splitting ratios were jointly designed while meeting the constraints such as the transmit power of relay.The semidefinite relaxation algorithm was introduced to convert the optimal problem into convex problem,and water-filling algorithm was also implied to derive the optimal solution.Numerical results show that the proposed scheme has 13.9% performance gain on energy efficiency over the scheme without self-interference harvesting while ensuring the spectrum efficiency.Moreover,compared with the system capacity maximization scheme,the proposed scheme can reduce 0.1 J when 1 bit of information is transmitted.
In conventional full-duplex cognitive MIMO(multiple-input multiple-output) networks based on the energy harvesting,the self-interference was cancelled,which aimed to improve the spectrum efficiency.However,the role of the self-interference to improve the energy utilization was ignored. To tackle this, a cognitive relaying network based on full-duplex and MIMO was established to carry out self-interference harvesting through energy harvesting technique.The energy efficiency maximization was researched, and the transmit signal covariance matrix and the power splitting ratios were jointly designed while meeting the constraints such as the transmit power of relay.The semidefinite relaxation algorithm was introduced to convert the optimal problem into convex problem,and water-filling algorithm was also implied to derive the optimal solution.Numerical results show that the proposed scheme has 13.9% performance gain on energy efficiency over the scheme without self-interference harvesting while ensuring the spectrum efficiency.Moreover,compared with the system capacity maximization scheme,the proposed scheme can reduce 0.1 J when 1 bit of information is transmitted.
引文
[1]XU D,LI Q.Resource allocation for cognitive radio with primary user secrecy outage constraint[J].IEEE Systems Journal,2018,12(1):893-904.
[2]XU D,FENG Z,ZHANG P.Resource allocation for heterogeneous services in multiuser cognitive radio networks[J].International Journal of Communication Systems,2015,27(10):2121-2140.
[3]MIRIDAKIS N I,TSIFTSIS T A,VERGADOS D D,et al.All cognitive MIMO:a new multiuser detection approach with different priorities[J].IEEE Transactions on Wireless Communications,2018,17(8):5148-5161.
[4]ARZYKULOV S,NAURYZBAYEV G,TSIFTSIS T A,et al.Error performance of wireless powered cognitive relay networks with interference alignment[C]//Proc of2017 IEEE 28th Annual International Symposium on Personal,Indoor,and Mobile Radio Communications(PIMRC).Montreal:IEEE,2017:1-5.
[5]HONG X,XIN K,WONG K K,et al.Optimizing DFcognitive radio networks with full-duplex-enabled energy access points[J].IEEE Transactions on Wireless Communications,2017,16(7):4683-4697.
[6]AYIR N,UBAIDULLA P.Transceiver design for cognitive full-duplex two-way MIMO relaying system[C]//Proc of Vehicular Technology Conference:Vtc2017-Spring.Sydney:IEEE,2017:1-5.
[7]WU G,XIE G,GAO J,et al.Relay joint antenna mode selection with power allocation in cognitive relay network[C]//Proc of International Conference on Computer Science and Network Technology.Changchun:IEEE,2016:482-487.
[8]ARZYKULOV S,NAURYZBAYEV G,TSIFTSIS T A,et al.On the capacity of wireless powered cognitive relay network with interference alignment[C]//Proc of Globecom IEEE Global Communications Conference.Singapore:IEEE,2017:138-145.
[9]XIE D,LAI X,LEI X,et al.Cognitive multiuser energy harvesting decode-and-forward relaying system with direct links[J].IEEE Access,2018,6:5596-5606.
[10]QIAO J,ZHANG H,ZHAO F,et al.Secure transmission and self-energy recycling for wireless-powered relay systems with partial eavesdropper CSI[J].IEEE Journal on Selected Areas in Communications,2018,36(7):1531-1543.
[11]CHAE J,LEE H,KIM J,et al.Self energy recycling techniques for MIMO wireless communication systems[C]//Proc of 2017 IEEE International Conference on Communications(ICC).Paris:IEEE,2017:1-6.
[12]CHEN B,LEI M,ZHAO M.An optimal resource allocation method for multi-user multi-relay DF cognitive radio networks[J].IEEE Communications Letters,2016,20(6):1164-1167.
[13]SINGH A,BHATNAGAR M R,MALLIK R K.Secrecy outage of a simultaneous wireless information and power transfer cognitive radio system[J].IEEE Wireless Communications Letters,2016,5(3):288-291.
[14]RAMLI N,ZUFERI W N S W M,Mohamad H,et al.Jointly optimized uncoordinated beamforming for enhancing achievable sum rate in cognitive radio network[C]//Proc of TENCON 2014-2014 IEEE Region10 Conference.Bangkok:IEEE,2015:1-6.
[15]XING H,KANG X,WONG K K,et al.Optimization for DF relaying cognitive radio networks with multiple energy access points[C]//Proc of 2016 IEEE Global Communications Conference(GLOBECOM).Washington:IEEE,2017:1-7.
[2]XU D,FENG Z,ZHANG P.Resource allocation for heterogeneous services in multiuser cognitive radio networks[J].International Journal of Communication Systems,2015,27(10):2121-2140.
[3]MIRIDAKIS N I,TSIFTSIS T A,VERGADOS D D,et al.All cognitive MIMO:a new multiuser detection approach with different priorities[J].IEEE Transactions on Wireless Communications,2018,17(8):5148-5161.
[4]ARZYKULOV S,NAURYZBAYEV G,TSIFTSIS T A,et al.Error performance of wireless powered cognitive relay networks with interference alignment[C]//Proc of2017 IEEE 28th Annual International Symposium on Personal,Indoor,and Mobile Radio Communications(PIMRC).Montreal:IEEE,2017:1-5.
[5]HONG X,XIN K,WONG K K,et al.Optimizing DFcognitive radio networks with full-duplex-enabled energy access points[J].IEEE Transactions on Wireless Communications,2017,16(7):4683-4697.
[6]AYIR N,UBAIDULLA P.Transceiver design for cognitive full-duplex two-way MIMO relaying system[C]//Proc of Vehicular Technology Conference:Vtc2017-Spring.Sydney:IEEE,2017:1-5.
[7]WU G,XIE G,GAO J,et al.Relay joint antenna mode selection with power allocation in cognitive relay network[C]//Proc of International Conference on Computer Science and Network Technology.Changchun:IEEE,2016:482-487.
[8]ARZYKULOV S,NAURYZBAYEV G,TSIFTSIS T A,et al.On the capacity of wireless powered cognitive relay network with interference alignment[C]//Proc of Globecom IEEE Global Communications Conference.Singapore:IEEE,2017:138-145.
[9]XIE D,LAI X,LEI X,et al.Cognitive multiuser energy harvesting decode-and-forward relaying system with direct links[J].IEEE Access,2018,6:5596-5606.
[10]QIAO J,ZHANG H,ZHAO F,et al.Secure transmission and self-energy recycling for wireless-powered relay systems with partial eavesdropper CSI[J].IEEE Journal on Selected Areas in Communications,2018,36(7):1531-1543.
[11]CHAE J,LEE H,KIM J,et al.Self energy recycling techniques for MIMO wireless communication systems[C]//Proc of 2017 IEEE International Conference on Communications(ICC).Paris:IEEE,2017:1-6.
[12]CHEN B,LEI M,ZHAO M.An optimal resource allocation method for multi-user multi-relay DF cognitive radio networks[J].IEEE Communications Letters,2016,20(6):1164-1167.
[13]SINGH A,BHATNAGAR M R,MALLIK R K.Secrecy outage of a simultaneous wireless information and power transfer cognitive radio system[J].IEEE Wireless Communications Letters,2016,5(3):288-291.
[14]RAMLI N,ZUFERI W N S W M,Mohamad H,et al.Jointly optimized uncoordinated beamforming for enhancing achievable sum rate in cognitive radio network[C]//Proc of TENCON 2014-2014 IEEE Region10 Conference.Bangkok:IEEE,2015:1-6.
[15]XING H,KANG X,WONG K K,et al.Optimization for DF relaying cognitive radio networks with multiple energy access points[C]//Proc of 2016 IEEE Global Communications Conference(GLOBECOM).Washington:IEEE,2017:1-7.