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Polar-Coded OFDM Signal Using physical layer network coding for New-Generation networks

INTERNATIONAL JOURNAL OF WIRELESS INFORMATION networkS 2024年第1期31卷 51-60页

作者： Mahmood, Alza Abduljabbar Kadhim, Abdulkareem Abdulrahman Univ Technol Baghdad Comp Engn Dept Baghdad Iraq Al Mustaqbal Univ Babel Iraq

To accomplish the targets of Beyond Fifth-Generation (B5G) networks, considerable spectral efficiency, wide coverage, better reliability, and energy efficiency are the main objectives. In order to enhance the performance of the Orthogonal Frequency Division Multiplexing (OFDM) signal in terms of Bit Error Rate (BER), powerful channel coding, such as polar coding, must be considered. In addition, a Massive Multi-Input Multi-Output (MMIMO) combined with OFDM can support better performance and spectral efficiency. On the other hand, physical layer network coding (PLNC) can increase system throughput. This paper explores the integration of Polar-Coded OFDM (PCOFDM) with MMIMO and PLNC to enhance transmission reliability and throughput. A two-way relay transmission scenario is considered at millimeter Wave (mmWave) frequencies. The consequences of the extensive simulation assessments for Multilevel Quadrature Amplitude Modulation (M-QAM) demonstrated that refinements in throughput and BER can be performed using PCOFDM, with PLNC having enough antenna elements in the massive MIMO system at the base station (the relay node). In any case of the number of antenna elements utilized in the user terminal, the BER achievement of PCOFDM-MMIMO with PLNC surpassed that of a similar system without polar code (antenna elements used in the base station are 128 and 256).

关键词： Massive MIMO mmWave physical layer network coding Polar code OFDM

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Multi-Input physical layer network coding in Two-Dimensional Wireless Multihop networks

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IEICE TRANSACTIONS ON COMMUNICATIONS 2023年第2期E106B卷 193-202页

作者： Tsugita, Hideaki Denno, Satoshi Hou, Yafei Okayama Univ Grad Sch Nat Sci & Technol Okayama 7008530 Japan

This paper proposes multi-input physical layer network coding (multi-input PLNC) for high speed wireless communication in two-dimensional wireless multihop networks. In the proposed PLNC, all the terminals send their packets simultaneously for the neighboring relays to maximize the network throughput in the first slot, and all the relays also do the same to the neighboring terminals in the second slot. Those si-multaneous signal transmissions cause multiple signals to be received at the relays and the terminals. Signal reception in the multi-input PLNC uses multichannel filtering to mitigate the difficulties caused by the multi-ple signal reception, which enables the two-input PLNC to be applied. In addition, a non-linear precoding is proposed to reduce the computational complexity of the signal detection at the relays and the terminals. The proposed multi-input PLNC makes all the terminals exchange their packets with the neighboring terminals in only two time slots. The performance of the proposed multi-input PLNC is confirmed by computer simulation. The proposed multi-input physical layer network coding achieves much higher network throughput than conventional techniques in a two-dimensional mul-tihop wireless network with 7 terminals. The proposed multi-input physical layer network coding attains superior transmission performance in wireless hexagonal multihop networks, as long as more than 6 antennas are placed on the terminals and the relays.

关键词： physical layer network coding precoding multihop network singular value decomposition

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Performance analysis of joint dual relay selection and physical layer network coding in two-way relay channels

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TELECOMMUNICATION SYSTEMS 2022年第4期79卷 529-539页

作者： Keshavarz-Haddad, Alireza Jamshidi, Ali Ghorbani, Sanaz Shiraz Univ Sch Elect & Comp Engn Shiraz Iran

In this paper, we study joint dual relay- selection (RS) and physical network coding (PNC) schemes for wireless two-way relay channels. We propose four schemes in which the sources transmit information to the relays and two "best" relays are selected based on minimum bit-error-rate (BER) criterion. Then, the selected relays combine the received information from sources and broadcast it towards each other. The BER of the proposed schemes are obtained analytically and also verified through Monte Carlo simulations. The results indicate that the schemes have superior performance compared to an existing work which uses Alamouti space-time block codes (STBC).

关键词： Dual relay selection Relay network Two-way relaying Cooperative communications physical layer network coding

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IRS-Assisted physical layer network coding Over Two-Way Relay Fading Channels

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年第8期71卷 8424-8440页

作者： AlaaEldin, Mahmoud Alsusa, Emad Seddik, Karim G. Univ Manchester Elect Elect Engn Dept Manchester M13 9PL Lancs England Amer Univ Cairo Dept Elect Commun Engn Cairo 11835 Egypt

This article investigates the performance of intelligent reflective surfaces (IRS)-aided physical layer network coding (PNC) in two-way relaying channels (TWRC). Specifically, IRS is used to eliminate carrier phase offset (CPO) at the relay node. To this end, the IRS reflectors' phase shifts are optimized to align the received signals from two source nodes at the relay. This facilitates using a simple mapping function at the relay to map the superimposed signal to a network-coded signal. Two scenarios are considered, the first of which assumes that each source node is served by a separate IRS panel, while the second scenario considers the more challenging case where only one IRS panel is available for the two source nodes. In the latter case, the IRS panel is seen by both source nodes and its phase shifts are optimized to mitigate the CPO problem while maximizing the received signal amplitude at the relay. This optimization problem is formulated and solved over the complex circle manifold. Finally, we extend the IRS-assisted PNC system to include channel coding and higher modulation orders, for which a repeat accumulate (RA) channel-coded IRS-aided PNC scheme is proposed for general quadrature amplitude modulation (QAM) signals. A belief propagation (BP) based algorithm is designed to decode the network-coded sequences over a q-Ring using modular arithmetic. Our simulation results validate the theoretical error expressions derived for the two-IRS scenario as well as the efficacy of the proposed manifold optimization approach for the one-IRS scenario. The results also confirm the efficacy of the designed channel-coded IRS-aided PNC using high QAM modulation orders.

关键词： Massive MIMO Receiving antennas Precoding Downlink Antenna feeds Transmitting antennas Symbols Belief propagation intelligent reflective surfaces physical layer network coding repeat accumulate codes sum-product algorithm two-way relaying channels

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A Framework for physical layer network coding with Multiple Antennas for BPSK

A Framework for Physical Layer Network Coding with Multiple ...

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International Balkan Conference on Communications and networking (BalkanCom)

作者： Ilguy, Mert Ozbek, Berna Izmir Inst Technol Elect & Elect Eng Dept Izmir Turkiye

ISBN: (纸本)9798350339109

physical layer network coding (PNC) is combined with multiple antennas to increase the spectral efficiency of wireless communication systems. In this work, we present a PNC framework including both uplink and downlink for binary phase shift keying (BPSK). In the uplink, we propose a scheme for detecting network-coded symbol (NCS) with reduced complexity. For the downlink, we propose a transmission scheme of NCS through maximum ratio transmission (MRT) by defining the precoding vector as an average of users' channels. The bit-error-rate (BER) performances and the comparison results with the conventional scheme in both downlink and uplink are provided for the proposed low-complexity PNC framework.

关键词： physical layer network coding Low-complexity scheme

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A physical layer network coding Based Tag Anti-Collision Algorithm for RFID System

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Computers, Materials & Continua 2021年第1期66卷 931-945页

作者： Cuixiang Wang Xing Shao Yifan Meng Jun Gao School of Information Engineering Yancheng Institute of TechnologyYancheng224000China School of Computer Nanjing University of Posts and TelecommunicationNanjing210003China Modern Agricultural Resources Intelligent Management and Application Laboratory Huzhou Normal UniversityHuzhou313000China School of Science and Technology Troy UniversityTroy36082USA

In RFID(Radio Frequency IDentification)system,when multiple tags are in the operating range of one reader and send their information to the reader simultaneously,the signals of these tags are superimposed in the air,which results in a collision and leads to the degrading of tags identifying *** improve the multiple tags’identifying efficiency due to collision,a physical layer network coding based binary search tree algorithm(PNBA)is proposed in this *** pushes the conflicting signal information of multiple tags into a stack,which is discarded by the traditional anti-collision *** addition,physical layer network coding is exploited by PNBA to obtain unread tag information through the decoding operation of physical layer network coding using the conflicting information in the ***,PNBA reduces the number of interactions between reader and tags,and improves the tags identification *** analysis and simulation results using MATLAB demonstrate that PNBA reduces the number of readings,and improve RFID identification ***,when the number of tags to be identified is 100,the average needed reading number of PNBA is 83%lower than the basic binary search tree algorithm,43%lower than reverse binary search tree algorithm,and its reading efficiency reaches 0.93.

关键词： Radio frequency identification(RFID) tag anti-collision algorithm physical layer network coding binary search tree algorithm

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Performance Analysis of physical layer network coding in Massive MIMO Systems With M-QAM Modulations

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021年第5期70卷 4631-4645页

作者： Okyere, Bismark Musavian, Leila Mumtaz, Rao Univ Essex Sch Comp Sci & Elect Engn CSEE Colchester CO4 3SQ Essex England GS Lda P-3750101 Agueda Portugal

In this paper, we develop a practical approach for deploying physical layer network coding (PNC) in multi-user M-Ary Quadrature Amplitude Modulation (M-QAM) Massive Multiple-Input Multiple-Output (MIMO) systems. We formulate a PNC mapping scheme as a function of clusters of estimated summation and difference (SD) of the transmitted symbols from user pairs. Utilizing existing linear detection schemes, such as Zero Forcing (ZF) and Minimum Mean Square Error (MMSE), a cluster of SD symbols are detected using an SD linearly transformed channel matrix. Furthermore, utilizing Maximum a Posteriori (MAP) soft decoding, the SD symbols are mapped to the PNC symbols, leveraging on the PNC symbol that maximizes the likelihood function. For each variant of M-QAM, we derive and simplify a specialization of the generalized PNC mapping function. The error performance results, through simulation, reveal that the proposed PNC scheme achieves twice the spectral efficiency in Massive MIMO, without changing the latter's underlying framework and without any degradation in the bit-error-rate (BER). In fact, our investigation has proved that the BER of the proposed Massive MIMO and PNC is slightly better than that of the conventional Massive MIMO. The feasibility of deploying our proposed PNC scheme in Massive MIMO systems paves way for NC applications to be realized in cellular systems.

关键词： Massive MIMO physical layer network coding End-to-end simulation

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Eigenvalue Based Relay Selection for XOR-physical layer network coding in Bi-Directional Wireless Relaying networks

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IEICE TRANSACTIONS ON COMMUNICATIONS 2021年第10期E104B卷 1336-1344页

作者： Denno, Satoshi Yamamoto, Kazuma Hou, Yafei Okayama Univ Grad Sch Nat Sci & Technol Okayama 7008530 Japan

This paper proposes relay selection techniques for XOR physical layer network coding with MMSE based non-linear precoding in MIMO bi-directional wireless relaying networks. The proposed selection techniques are derived on the di fferent assumption about characteristics of the MMSE based non-linear precoding in the wireless network. We show that the signal to noise power ratio (SNR) is dependent on the product of all the eigenvalues in the channels from the terminals to relays. This paper shows that the best selection techniques in all the proposed techniques is to select a group of the relays that maximizes the product. Therefore, the selection technique is called "product of all eigenvalues (PAE)" in this paper. The performance of the proposed relay selection techniques is evaluated in a MIMO bi-directional wireless relaying network where two terminals with 2 antennas exchange their information via relays. When the PAE is applied to select a group of the 2 relays out of the 10 relays where an antenna is placed, the PAE attains a gain of more than 13dB at the BER of 10(-3).

关键词： physical layer network coding non-linear precoding MIMO signal to noise power ratio eigenvalues

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Polar-Coded Gaussian Multiple-Access Channels With physical-layer network coding

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年第6期73卷 9083-9087页

作者： Qiu, Yuping Xie, Zhaopeng Kang, Peng Chen, Pingping Fang, Yi Fuzhou Univ Coll Phys & Informat Engn Fuzhou 350108 Peoples R China Singapore Univ Technol & Design Singapore 487372 Singapore Guangdong Univ Technol Sch Informat Engn Guangzhou 510006 Peoples R China

In this paper, we propose a two-user polar-coded physical-layer network coding (TU-PC-PNC) scheme for the Gaussian multiple access channel (GMAC) to enhance the transmission reliability. We first investigate the characteristics of polar encoding and derive the concatenated codeword structure, by which we can implement the message exclusive OR (XOR)-based PNC via code construction and improve the channel polarization effect. The PNC-aided decoding rule based on the concatenated codeword is then invented to compute the initial messages for recovery. In addition, we introduce the joint optimization framework by Monte Carlo-based method, which can be used to optimize the polar code and power allocation with maximized sum user rate. The capacity analysis of the bit-channels and simulation results show that the proposed TU-PC-PNC can significantly outperform the benchmark scheme by more than 1 dB under the GMAC.

关键词： Polar codes Decoding Encoding Receivers Optimization network coding Transmitters Gaussian multiple access channel physical layer network coding polar coding

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BER Analysis of RIS Assisted Bidirectional Relay System with physical layer network coding 27

BER Analysis of RIS Assisted Bidirectional Relay System with...

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27th National Conference on Communications (NCC)

作者： Triphena, Jeba Thirumavalavan, Vetrivel Chelian Jayaraman, Thiruvengadam S. Thiagarajar Coll Engn Dept ECE Madurai Tamil Nadu India

ISBN: (纸本)9781665441773

Reconfigurable Intelligent Surface (RIS) is one of the latest technologies in bringing a certain amount of control to the rather unpredictable and uncontrollable wireless channel. In this paper, RIS is introduced in a bidirectional system with two source nodes and a Decode and Forward (DF) relay node. It is assumed that there is no direct path between the source nodes. The relay node receives information from source nodes simultaneously. The physical layer network coding (PLNC) is applied at the relay node to assist in the exchange of information between the source nodes. Analytical expressions are derived for the average probability of errors at the source nodes and relay node of the proposed RIS-assisted bidirectional relay system. The Bit Error Rate (BER) performance is analyzed using both simulation and analytical forms. It is observed that RIS-assisted PLNC based bidirectional relay system performs better than the conventional PLNC based bidirectional system.

关键词： Reconfigurable Intelligent Surface Bit Error Rate Relay physical layer network coding

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