Optimizing duration of energy harvesting for downlink NOMA full-duplex over Nakagami-m fading channel

Abstract In this paper, we propose and analyze a downlink non-orthogonal multiple access (NOMA) relay system with full-duplex transmission model and decode-and-forward (DF) scheme. We assume that the source and the destination nodes have fixed power, whereas relay nodes have constrained energies and should harvest radio frequency (RF) energy from the source for operation power. The outage performance of this system is analyzed over the Nakagami-m fading channel, full-duplex transmission protocol and imperfect channel state information (CSI), and then the duration of energy harvesting in every block time, α T , is optimized to achieve the maximal throughput. Furthermore, the closed-form of outage probabilities and the fraction α are derived and evaluated in several scenarios. Moreover, the optimal power allocation coefficients that achieve the minimal outage probability while keeping the fairness in outage performance of end users are discussed. The analytical results are verified by Monte Carlo simulations.

[1]  Sheng Luo,et al.  Adaptive Transmission for Cooperative NOMA System With Buffer-Aided Relaying , 2017, IEEE Communications Letters.

[2]  Cheng Lei,et al.  Enhanced power allocation scheme in ultra-dense small cell network , 2016 .

[3]  H. Vincent Poor,et al.  Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks , 2013, IEEE Transactions on Wireless Communications.

[4]  Kisong Lee,et al.  Energy-Efficient Resource Allocation for Simultaneous Information and Energy Transfer With Imperfect Channel Estimation , 2016, IEEE Transactions on Vehicular Technology.

[5]  Hong Wen,et al.  Performance Analysis of Multihop Relaying Caching for Internet of Things under Nakagami Channels , 2018, Wirel. Commun. Mob. Comput..

[6]  Zhang Zufan,et al.  SINR制約に基づくモバイルクラウドにおけるD2Dマルチキャスト再送信アルゴリズム【Powered by NICT】 , 2016 .

[7]  Wei Li,et al.  Optimization of energy efficiency for cognitive radio with partial RF energy harvesting , 2018 .

[8]  Jiaheng Wang,et al.  Resource Optimization for Device-to-Device and Small Cell Uplink Communications Underlaying Cellular Networks , 2017, IEEE Transactions on Vehicular Technology.

[9]  Shuangfeng Han,et al.  Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends , 2015, IEEE Communications Magazine.

[10]  Tao Jiang,et al.  Norm-adaption penalized least mean square/fourth algorithm for sparse channel estimation , 2016, Signal Process..

[11]  Jiaheng Wang,et al.  Resource Optimization in Heterogeneous Cloud Radio Access Networks , 2018, IEEE Communications Letters.

[12]  Ming Xiao,et al.  Performance Analysis of Heterogeneous Networks With Interference Cancellation , 2017, IEEE Transactions on Vehicular Technology.

[13]  H. Vincent Poor,et al.  Cooperative Non-orthogonal Multiple Access With Simultaneous Wireless Information and Power Transfer , 2015, IEEE Journal on Selected Areas in Communications.

[14]  Gaston H. Gonnet,et al.  On the LambertW function , 1996, Adv. Comput. Math..

[15]  Robert Schober,et al.  Relay Selection for Simultaneous Information Transmission and Wireless Energy Transfer: A Tradeoff Perspective , 2013, IEEE Journal on Selected Areas in Communications.

[16]  Jinjin Men,et al.  Performance analysis for NOMA energy harvesting relaying networks with transmit antenna selection and maximal-ratio combining over Nakagami-m fading , 2016, IET Commun..

[17]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[18]  Oguz Kucur,et al.  Performance of antenna selection schemes in dual hop full-duplex decode-and-forward relaying over Nakagami-m fading channels , 2018 .

[19]  Mansoor Shafi,et al.  Capacity Limits and Performance Analysis of Cognitive Radio With Imperfect Channel Knowledge , 2010, IEEE Transactions on Vehicular Technology.

[20]  Soo Young Shin,et al.  Exploiting Non-Orthogonal Multiple Access in Cooperative Relay Sharing , 2017, IEEE Communications Letters.

[21]  Lav R. Varshney,et al.  Transporting information and energy simultaneously , 2008, 2008 IEEE International Symposium on Information Theory.

[22]  Hai Lin,et al.  Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems , 2017, IEEE Transactions on Signal Processing.

[23]  Moon Ho Lee,et al.  User clustering and robust beamforming design in multicell MIMO-NOMA system for 5G communications , 2017 .

[24]  Xiaoming Chen,et al.  Energy-efficient optimisation for secrecy wireless information and power transfer in massive MIMO relaying systems , 2017, IET Commun..

[25]  Zhiguo Ding,et al.  The Impact of Power Allocation on Cooperative Non-orthogonal Multiple Access Networks With SWIPT , 2017, IEEE Transactions on Wireless Communications.