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Journal articles on the topic 'Multiple access interference'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 January 2023

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1

Roh, Dong Wook, and Dong Ku Kim. "Multiple access interference rejection code: LS code." Journal of Communications and Networks 5, no. 1 (March 2003): 19–24. http://dx.doi.org/10.1109/jcn.2003.6596675.

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2

Huang, Yi-Jiun, Hen-Wai Tsao, Huang-Tien Lin, and Chia-Shu Liao. "Multiple Access Interference Suppression for TWSTFT Applications." IEEE Transactions on Instrumentation and Measurement 66, no. 6 (June 2017): 1337–42. http://dx.doi.org/10.1109/tim.2016.2624900.

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3

Xia, Wang, Zhu Shihua, and Sun Delong. "Cochannel interference cancelation for multiple access systems." Journal of Systems Engineering and Electronics 18, no. 2 (June 2007): 223–28. http://dx.doi.org/10.1016/s1004-4132(07)60078-4.

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4

Dong, Yixian, Ehab Al-Rawachy, Roger Philip Giddings, Wei Jin, Derek Nesset, and J. M. Tang. "Multiple Channel Interference Cancellation of Digital Filter Multiple Access PONs." Journal of Lightwave Technology 35, no. 1 (January 1, 2017): 34–44. http://dx.doi.org/10.1109/jlt.2016.2632861.

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5

Shen, Yuyao, Yongqing Wang, Zhiyuan Peng, and Siliang Wu. "Multiple-Access Interference Mitigation for Acquisition of Code-Division Multiple-Access Continuous-Wave Signals." IEEE Communications Letters 21, no. 1 (January 2017): 192–95. http://dx.doi.org/10.1109/lcomm.2016.2625298.

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6

Shen, Yuyao, and Ying Xu. "Multiple-Access Interference and Multipath Influence Mitigation for Multicarrier Code-Division Multiple-Access Signals." IEEE Access 8 (2020): 3408–15. http://dx.doi.org/10.1109/access.2019.2962633.

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7

Jin, Sian, and Sumit Roy. "FMCW Radar Network: Multiple Access and Interference Mitigation." IEEE Journal of Selected Topics in Signal Processing 15, no. 4 (June 2021): 968–79. http://dx.doi.org/10.1109/jstsp.2021.3071565.

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8

Shin, Won-Yong, and Dohyung Park. "Opportunistic Interference Management for Interfering Multiple-Access Channels." Journal of Korea Information and Communications Society 37B, no. 10 (October 30, 2012): 929–37. http://dx.doi.org/10.7840/kics.2012.37b.10.929.

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9

Khan, Rabia, Dushantha Nalin K. Jayakod, and Bin Chen. "Non-orthogonal multiple access: basic interference management technique." International Journal of Engineering & Technology 7, no. 2.28 (May 16, 2018): 357. http://dx.doi.org/10.14419/ijet.v7i2.28.13212.

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Non Orthogonal Multiple Access (NOMA) is a technique that offers spectral efficiency, Quality of Service (QoS), user fairness, low latency, high data rate, and overall better performance as compared to Orthogonal Multiple Access (OMA). The main feature of NOMA is the efficient utilization of spectrum due to increasing demand of data rate. We have introduced a new technique known as MNOMA (Modulation based NOMA) which will help in reducing the interference and complexity of signals decoding, not only in uplink but downlink as well. We have achieved the target of proposed technique by working on superposition coding (SC) of the system. In NOMA interference between users is certain due to removal of orthogonality in spectrum. The problem of interference has been tackled with superposition coding and a number of SIC’s (Successive Interference Cancellation) performed on the receiver's end. With MNOMA technique we have tried to reduce the complexity of system by integrating the basic orthogonality in the transmitter instead of spectrum. In this paper, we have shown the reduced expression of data rate for the proposed technique, which shows reduced complexity of the system in terms of SIC, Symbol Error Rate (SER), and better data rate of the proposed technique as compare to conventional OMA.

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10

Chang, Z., P. Lyu, and B. Peng. "Differentiated Reception Modes Based Multiple Access." Wireless Communications and Mobile Computing 2022 (October 11, 2022): 1–9. http://dx.doi.org/10.1155/2022/5328007.

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In recent years, the continuous increase in wireless data services and users’ traffic demand has been imposing great challenges on traditional multiple access control (MAC) methods. Some existing MAC techniques improve the communication system’s spectral efficiency (SE) via signal processing based cochannel interference (CCI) management. However, no interference management (IM) is free, i.e., its realization is based on the consumption of some communication resources, such as power and degree-of-freedom (DoF), which can also be used for the user’s desired data transmission. To lessen the resource cost for IM-based MAC, we exploit interactions among multiple wireless signals to propose a new MAC method, namely, Differentiated Reception Modes based Multiple Access (DRM-MA), in this paper. Under DRM-MA, a central control unit (CCU) is adopted to manage and pair multiple transmitting antennas with their serving receivers (Rxs). The CCU first calculates the phase difference of signals sent from each candidate antenna and perceived by the two receiving antennas of an Rx based on the locations of the transmitting antenna and Rx. Then, the CCU selects and pairs a proper transmitting antenna with each Rx, so that various Rxs can adopt either additive or subtractive reception mode to postprocess the signals received by its two antennas to realize in-phase desired signal construction and inverse-phase interference destruction. DRM-MA can avoid transmission performance loss incurred by signal processing-based IM. Our theoretical analysis and simulation results have shown that DRM-MA can enable concurrent data transmissions of multiple antenna-receiver pairs and output a high system’s SE.

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11

Kim, Dong Min, and Seong-Lyun Kim. "CSNOMA: Carrier Sense Non-Orthogonal Multiple Access." Sensors 20, no. 18 (September 4, 2020): 5024. http://dx.doi.org/10.3390/s20185024.

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In this paper, we investigate the possibility of the cross-layer design of a distributed random access scheme with considering physical (PHY) and multiple access control (MAC) layers, which utilizes the interference cancellation technique. In this regard, we propose a new multiple access protocol, named carrier sense non-orthogonal multiple access (CSNOMA). We consider the spatially randomly distributed interferers to realistically capture the effect of interference. The proposed protocol shows better area spectral efficiency than carrier sense multiple access (CSMA), as the node density increases. We also present a practical signaling design compatible with IEEE 802.11 DCF mode.

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12

Zhang, Duoying, Yao Zhang, Zujian Wu, and Huiqin Du. "Rank-Constrained Beamforming for MIMO Cognitive Interference Channel." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/2152538.

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This paper considers the spectrum sharing multiple-input multiple-output (MIMO) cognitive interference channel, in which multiple primary users (PUs) coexist with multiple secondary users (SUs). Interference alignment (IA) approach is introduced that guarantees that secondary users access the licensed spectrum without causing harmful interference to the PUs. A rank-constrained beamforming design is proposed where the rank of the interferences and the desired signals is concerned. The standard interferences metric for the primary link, that is,interference temperature, is investigated and redesigned. The work provides a further improvement that optimizes the dimension of the interferences in the cognitive interference channel, instead of the power of the interference leakage. Due to the nonconvexity of the rank, the developed optimization problems are further approximated as convex form and are solved via choosing the transmitter precoder and receiver subspace iteratively. Numerical results show that the proposed designs can improve the achievable degree of freedom (DoF) of the primary links and provide the considerable sum rate for both secondary and primary transmissions under the rank constraints.

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13

Anwar Hossain, Md, and Mohammed Tarique. "Effect of multipath fading and multiple access interference on broadband code division multiple access systems." International Journal of Communication Systems 25, no. 7 (June 24, 2011): 874–86. http://dx.doi.org/10.1002/dac.1293.

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14

Dodd, Russell, Christian Schlegel, and Vincent Gaudet. "DS-CDMA Implementation With Iterative Multiple Access Interference Cancellation." IEEE Transactions on Circuits and Systems I: Regular Papers 60, no. 1 (January 2013): 222–31. http://dx.doi.org/10.1109/tcsi.2012.2215784.

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15

Zhu, Fangfang, Xiaohu Shang, Biao Chen, and H. Vincent Poor. "On the Capacity of Multiple-Access-Z-Interference Channels." IEEE Transactions on Information Theory 60, no. 12 (December 2014): 7732–50. http://dx.doi.org/10.1109/tit.2014.2347291.

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16

Yang, Hyun Jong, Won-Yong Shin, Bang Chul Jung, and Arogyaswami Paulraj. "Opportunistic Interference Alignment for MIMO Interfering Multiple-Access Channels." IEEE Transactions on Wireless Communications 12, no. 5 (May 2013): 2180–92. http://dx.doi.org/10.1109/twc.2013.032113.120673.

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17

Moeneclaey, M., M. Van Bladel, and H. Sari. "Sensitivity of multiple-access techniques to narrow-band interference." IEEE Transactions on Communications 49, no. 3 (March 2001): 497–505. http://dx.doi.org/10.1109/26.911457.

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18

Wang, Yong, Takehiko Suginouchi, Masahiko Hashimoto, and Hiroyuki Hachiya. "Automatic Interference Elimination Algorithm for Ultrasonic Multiple Access Method." Japanese Journal of Applied Physics 47, no. 5 (May 23, 2008): 4319–24. http://dx.doi.org/10.1143/jjap.47.4319.

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19

CHEN, Min, and Yongqin YANG. "Iterative Interference Cancellation for Non-orthogonal Multiple Access System." Chinese Journal of Electronics 29, no. 3 (May 1, 2020): 540–46. http://dx.doi.org/10.1049/cje.2020.03.009.

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20

Sheng-Wei Hou and Chi Chung Ko. "Multiple-Access Interference Suppression for Interleaved OFDMA System Uplink." IEEE Transactions on Vehicular Technology 57, no. 1 (January 2008): 194–205. http://dx.doi.org/10.1109/tvt.2007.901894.

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21

Li, Dong, and Ying-Chang Liang. "Power Allocation for Interference-Limited Cognitive Multiple Access Channels." IEEE Wireless Communications Letters 2, no. 3 (June 2013): 291–94. http://dx.doi.org/10.1109/wcl.2013.022213.130010.

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22

Baidas, Mohammed W., Emad Alsusa, and Khairi A. Hamdi. "Power allocation over time-varying multiple-access interference channels." International Journal of Communication Systems 29, no. 13 (June 2, 2016): 2041–58. http://dx.doi.org/10.1002/dac.3158.

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23

Hussein, Gamal A., Abd El-Naser A. Mohamed, Osama Aly Oraby, Emad S. Hassan, Ibrahim M. Eldokany, El-Sayed M. El-Rabaie, Moawad I. Dessouky, Saleh A. Alshebeili, and Fathi E. Abd El-Samie. "Multiple access interference cancelation technique in optical CDMA systems." Photonic Network Communications 26, no. 2-3 (August 25, 2013): 74–83. http://dx.doi.org/10.1007/s11107-013-0410-6.

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24

Liu, Maw-Yang, and Hen-Wai Tsao. "Reduction of multiple-access interference for optical CDMA systems." Microwave and Optical Technology Letters 30, no. 1 (2001): 1–3. http://dx.doi.org/10.1002/mop.1202.

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25

Shayovitz, Shachar, Andrey Krestiantsev, and Dan Raphaeli. "Low-Complexity Self-Interference Cancellation for Multiple Access Full Duplex Systems." Sensors 22, no. 4 (February 15, 2022): 1485. http://dx.doi.org/10.3390/s22041485.

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Self-interference occurs when there is electromagnetic coupling between the transmission and reception of the same node; thus, degrading the RX sensitivity to incoming signals. In this paper we present a low-complexity technique for self-interference cancellation in multiple carrier multiple access systems employing whole band direct to digital sampling. In this scenario, multiple users are simultaneously received and transmitted by the system at overlapping arbitrary bandwidths and powers. Traditional algorithms for self-interference mitigation based on recursive least squares (RLS) or least mean squares (LMS), fail to provide sufficient rejection, since the incoming signal is far from being spectrally flat, which is critical for their performance. The proposed algorithm mitigates the interference by modeling the incoming multiple user signal as an autoregressive (AR) process and jointly estimates the AR parameters and self-interference. The resulting algorithm can be implemented using a low-complexity architecture comprised of only two RLS modules. The novel algorithm further satisfies low latency constraints and is adaptive, supporting time varying channel conditions. We compare this to many self-interference cancellation algorithms, mostly adopted from the acoustic echo cancellation literature, and show significant performance gain.

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26

Niranjayan, S., A. Nallanathan, and B. Kannan. "Modeling of multiple access interference and BER derivation for TH and DS UWB multiple access systems." IEEE Transactions on Wireless Communications 5, no. 10 (October 2006): 2794–804. http://dx.doi.org/10.1109/twc.2006.04530.

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27

Antony, Hyils Sharon Magdalene, and Thulasimani Lakshmanan. "Secure Beamforming in 5G-Based Cognitive Radio Network." Symmetry 11, no. 10 (October 9, 2019): 1260. http://dx.doi.org/10.3390/sym11101260.

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Cognitive radio network (CRN) and non-orthogonal multiple-access (NOMA) is a significant system in the 5G wireless communication system. However, the system is an exceptional way for the cognitive users to secure a communication from the interferences in multiple-input multiple-output (MIMO)-NOMA-based cognitive radio network. In this article, a new beamforming technique is proposed to secure an information exchange within the same cells and neighboring cells from all intervened users. The interference is caused by an imperfect spectrum sensing of the secondary users (SUs). The SUs are intended to access the primary channels. At the same time, the primary user also returns to the channel before the SUs access ends. This similar way of accessing the primary channel will cause interference between the users. Thus, we predicted that the impact of interferences would be greatly reduced by the proposed technique, and that the proposed technique would maximize the entire secrecy rate in the 5G-based cognitive radio network. The simulation result provides better evidence for the performance of the proposed technique.

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28

Yang, Jianwei, and Rodrigo C. Lamare. "Widely‐linear minimum‐mean‐squared error multiple‐candidate successive interference cancellation for multiple access interference and jamming suppression in direct‐sequence code‐division multiple‐access systems." IET Signal Processing 9, no. 1 (February 2015): 73–81. http://dx.doi.org/10.1049/iet-spr.2013.0375.

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29

Ye, Neng, Aihua Wang, Xiangming Li, Wenjia Liu, Xiaolin Hou, and Hanxiao Yu. "Rate-Adaptive Multiple Access for Uplink Grant-Free Transmission." Wireless Communications and Mobile Computing 2018 (July 3, 2018): 1–21. http://dx.doi.org/10.1155/2018/8978207.

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Grant-free transmission, which simplifies the signaling procedure via uplink instant transmission, has been recognized as a promising multiple access protocol to address the massive connectivity and low latency requirements for future machine type communications. The major drawback of grant-free transmission is that the contaminations among uncoordinated transmissions can reduce the data throughput and deteriorate the outage performance. In this paper, we propose a rate-adaptive multiple access (RAMA) scheme to tackle the collision problems caused by the grant-free transmission. Different from the conventional grant-free (conv-GF) scheme which transmits a single signal layer, RAMA transmits the signals with a multilayered structure, where different layers exhibit unequal protection property. At the receiver, the intra- and interuser successive interference cancellation (SIC) receiving algorithm is employed to detect multiple data streams. In RAMA, the users can achieve rate adaptation without the prior knowledge of the channel conditions, since the layers with high protection property can be successfully recovered when the interference is severe, while other layers can take advantage of the channel when the interference is less significant. Besides, RAMA also facilitates the SIC receiving since the multiple layers in the transmission signals can provide more opportunities for interference cancellation. To evaluate the system performance, we analyze the exact expressions of the throughout and the outage probability of both conv-GF and RAMA. Finally, theoretical analysis and simulation results validate that the proposed RAMA scheme can simultaneously achieve higher average throughput and lower outage performance than conv-GF. Meanwhile, RAMA shows its robustness with large user activation probability, where the collisions among users are severe.

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30

Nguyen, Nhan Duc, Chi-Bao Le, and Munyaradzi Munochiveyi. "Uplink Multiple Access for Reconfigurable Intelligent Surface-Aided Wireless Systems." Wireless Communications and Mobile Computing 2022 (July 21, 2022): 1–14. http://dx.doi.org/10.1155/2022/1932708.

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The integration of reconfigurable intelligent surface- (RIS-) aided wireless communication and multiple access is an attractive and promising scheme for next-generation wireless networks. In this research work, separate uplink RIS-aided nonorthogonal multiple access (NOMA) and uplink relay-assisted NOMA schemes are studied, where the RIS and relay devices are deployed to enhance the coverage of an obstructed single-antenna far user by assisting it to communicate with a single-antenna base station. In each scenario, both perfect successive interference cancellation (pSIC) and imperfect successive interference cancellation (ipSIC) operations are considered in the proposed multiple access network. To characterize the system performance, the associated residual interference caused by ipSIC and relay loop self-interference is characterized using the Rayleigh fading model; subsequently, new channel statistics are derived based on the Gauss-Laguerre polynomial. Consequently, the closed-form approximate outage probability expressions are derived for each scenario in the high signal-to-noise ratio (SNR) regime. To gain further insight, the system throughput in the delay-limited transmission is also obtained for each scenario. The formulated expressions are validated via Monte-Carlo simulations. Finally, the obtained simulation results demonstrate and validate the superiority of the RIS system over the relay device under several system parameters of interest despite the limitation of ipSIC.

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31

Maham, Behrouz, and Refik Caglar Kizilirmak. "Neuro-Spike Communications With Multiple Synapses Under Inter-Neuron Interference." IEEE Access 6 (2018): 39962–68. http://dx.doi.org/10.1109/access.2018.2854878.

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32

Kwon, Beom, and Sanghoon Lee. "Effective Interference Nulling Virtual MIMO Broadcasting Transceiver for Multiple Relaying." IEEE Access 5 (2017): 20695–706. http://dx.doi.org/10.1109/access.2017.2752198.

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33

HIGUCHI, Kenichi, and Anass BENJEBBOUR. "Non-orthogonal Multiple Access (NOMA) with Successive Interference Cancellation for Future Radio Access." IEICE Transactions on Communications E98.B, no. 3 (2015): 403–14. http://dx.doi.org/10.1587/transcom.e98.b.403.

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34

Yin, Zuo Liang, Hui Xiao Ma, Xing Peng Mao, and Jun Cai. "Novel Scheme for Multiple-Access Interference Mitigation with Low Complexity." Applied Mechanics and Materials 143-144 (December 2011): 371–75. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.371.

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To mitigate multiple access interference and improve the system capacity, an effective multiple access scheme, called GCDMA, is proposed. Exploiting the IDMA iterative multiuser detector in each group, the intra-group interference can be effectively handled. Analysis and simulations demonstrate that the proposed technique outperforms the conventional CDMA in terms of both system capacity and bit error performance. Lower complexity of the proposed scheme can be achieved than CDMA and even IDMA.

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35

Saab, Samer S., Joe Khalife, and Rayana H. Jaafar. "A Multiple-Access Time and Frequency Spectrum-Spreading Modulation." Wireless Communications and Mobile Computing 2018 (October 25, 2018): 1–10. http://dx.doi.org/10.1155/2018/8920746.

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In this paper a novel modulation scheme called Carrier Interleaved Multiple Access (CIMA) is proposed. CIMA provides an alternative for multiple-access modulation accommodating resistance to noise and channel interference. The approach is based on polar signaling modulated with an FM-like composite sinusoidal function. The user assigned frequency deviation and modulation index are strictly related and unique. The latter parameters are generated using a nontraditional pseudorandom noise generator (PRNG). This PRNG provides CIMA with low interference capability between cochannels and adjacent channels. CIMA can be considered for a single-user or multiple-access technique. Selected CIMA characteristics are presented. In order to numerically illustrate the effectiveness of the proposed modulation scheme, the performance of CIMA is compared with the conventional direct-sequence spread spectrum binary phase-shift keying (DSSS-BPSK) modulation.

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36

Kim, Na-Young, Ji-Hee Kim, Seong-Min Choi, Dong-Cheul Son, and Hee-Sun Kim. "PN Code Algorithm for Improving Interference Cancellation of Multiple Access." Journal of the Korea Academia-Industrial cooperation Society 11, no. 8 (August 31, 2010): 3053–59. http://dx.doi.org/10.5762/kais.2010.11.8.3053.

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37

Goursaud, Claire, Naufal M. Saad, Younes Zouine, Anne Julien-Vergonjanne, Christelle Aupetit-Berthelemot, Jean-Pierre Cances, and Jean-Michel Dumas. "Parallel multiple access interference cancellation in optical DS-CDMA systems." Annales des Télécommunications 59, no. 9-10 (September 2004): 1212–27. http://dx.doi.org/10.1007/bf03179716.

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38

Riza, Nabeel A., John E. Hershey, and Amer A. Hassan. "Signaling system for multiple-access laser communications and interference protection." Applied Optics 32, no. 11 (April 10, 1993): 1965. http://dx.doi.org/10.1364/ao.32.001965.

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39

Zhang, Ningbo, Tingting Ding, and Guixia Kang. "Interference Balance Power Control for Uplink Non-Orthogonal Multiple Access." IEEE Communications Letters 23, no. 3 (March 2019): 470–73. http://dx.doi.org/10.1109/lcomm.2018.2880769.

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40

Taher, Dalal Kanaan, and Adheed Hassan Sallomi. "Proposed Model for Interference Estimation in Code Division Multiple Access." TELKOMNIKA (Telecommunication Computing Electronics and Control) 16, no. 6 (December 1, 2018): 2549. http://dx.doi.org/10.12928/telkomnika.v16i6.10330.

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41

Jiang, Miao, Yiqing Li, Qi Zhang, Quanzhong Li, and Jiayin Qin. "MIMO Beamforming Design in Nonorthogonal Multiple Access Downlink Interference Channels." IEEE Transactions on Vehicular Technology 67, no. 8 (August 2018): 6951–59. http://dx.doi.org/10.1109/tvt.2018.2821166.

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42

Banitalebi, Behrouz, and Jamshid Abouei. "An efficient multiple access interference suppression scheme in asynchronous femtocells." IET Communications 7, no. 14 (September 24, 2013): 1439–48. http://dx.doi.org/10.1049/iet-com.2012.0806.

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43

Zhou, Qi, and Xiaoli Ma. "Receiver Designs for Differential UWB Systems with Multiple Access Interference." IEEE Transactions on Communications 62, no. 1 (January 2014): 126–34. http://dx.doi.org/10.1109/tcomm.2013.120413.130005.

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44

Monogioudis, P. N., R. Tafazolli, and B. G. Evans. "Linear adaptive fractionally spaced equalisation of CDMA multiple-access interference." Electronics Letters 29, no. 21 (1993): 1823. http://dx.doi.org/10.1049/el:19931213.

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45

Kohda, T., and H. Fujisaki. "Variances of multiple access interference code average against data average." Electronics Letters 36, no. 20 (2000): 1717. http://dx.doi.org/10.1049/el:20001213.

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46

Doherty, John F., and Yu-Tsun Hsieh. "A Constrained Block Iterative Algorithm for Multiple-Access Interference Suppression." Digital Signal Processing 12, no. 1 (January 2002): 12–20. http://dx.doi.org/10.1006/dspr.2001.0411.

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47

Duan, J. Y., G. P. Jiang, and H. Yang. "A Novel Multiple-Access Correlation-Delay-Shift-Keying." International Journal of Bifurcation and Chaos 27, no. 02 (February 2017): 1750025. http://dx.doi.org/10.1142/s0218127417500250.

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In Correlation-Delay-Shift-Keying (CDSK), the reference signal and the information-bearing signal are added together during a certain time delay. Because the reference signal is not strictly orthogonal to the information-bearing signal, the cross-correlation between the adjacent chaotic signal (Intra-signal Interference, ISI) will be introduced into the demodulation at the receiver. Therefore, the Bit-Error Ratio (BER) of CDSK is higher than that of Differential-Chaos-Shift-Keying (DCSK). To avoid the ISI component and enhance the BER performance of CDSK in multiuser scenario, Multiple-Access CDSK with No Intra-signal Interference (MA-CDSK-NII) is proposed. By constructing the repeated chaotic generator and applying the Walsh code sequence to modulate the reference signal, in MA-CDSK-NII, the ISI component will be eliminated during the demodulation. Gaussian approximation method is adopted here to obtain the exact performance analysis of MA-CDSK-NII over additive white Gaussian noise (AWGN) channel and Rayleigh multipath fading channels. Results show that, due to no ISI component and lower transmitting power, the BER performance of MA-CDSK-NII can be better than that of multiple-access CDSK and Code-Shifted Differential-Chaos-Shift-Keying (CS-DCSK).

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48

Pooya Shariatpanahi, Seyed, Hamed Shah-Mansouri, and Babak Hossein Khalaj. "Power allocation scheme in time division multiple access distributed multiple-input multiple-output interference channels." IET Communications 7, no. 5 (March 26, 2013): 391–96. http://dx.doi.org/10.1049/iet-com.2012.0488.

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49

D, Sivaganesan. "IMPROVISATION OF MESH NETWORK WITH WIDEBAND CODE DIVISION MULTIPLE ACCESS." IRO Journal on Sustainable Wireless Systems 01, no. 03 (September 28, 2019): 198–205. http://dx.doi.org/10.36548/jsws.2019.3.006.

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Mesh Networks are employed in various applications despite issues relevant to interference and network capacity. These networks also impose delay in routing and reconfiguration. Traditionally, TDMA and FDMA techniques have been used in these networks. This paper proposes wideband code division multiple access (WCDMA) technique for enabling maximum power transfer, low energy consumption, interference free and plug-and-play feature enabling easy implementation of the technology. The spatial configuration and node count bounds are stated ensuring continuous satisfaction of quality of service by the communication link. Additionally, dynamic parallel orthogonal transmission and turbo coding schemes are used in combination to improve the efficiency of the network even for large hop counts.

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50

Matera, Andrea, Rahif Kassab, Osvaldo Simeone, and Umberto Spagnolini. "Non-Orthogonal eMBB-URLLC Radio Access for Cloud Radio Access Networks with Analog Fronthauling." Entropy 20, no. 9 (September 2, 2018): 661. http://dx.doi.org/10.3390/e20090661.

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This paper considers the coexistence of Ultra Reliable Low Latency Communications (URLLC) and enhanced Mobile BroadBand (eMBB) services in the uplink of Cloud Radio Access Network (C-RAN) architecture based on the relaying of radio signals over analog fronthaul links. While Orthogonal Multiple Access (OMA) to the radio resources enables the isolation and the separate design of different 5G services, Non-Orthogonal Multiple Access (NOMA) can enhance the system performance by sharing wireless and fronthaul resources. This paper provides an information-theoretic perspective in the performance of URLLC and eMBB traffic under both OMA and NOMA. The analysis focuses on standard cellular models with additive Gaussian noise links and a finite inter-cell interference span, and it accounts for different decoding strategies such as puncturing, Treating Interference as Noise (TIN) and Successive Interference Cancellation (SIC). Numerical results demonstrate that, for the considered analog fronthauling C-RAN architecture, NOMA achieves higher eMBB rates with respect to OMA, while guaranteeing reliable low-rate URLLC communication with minimal access latency. Moreover, NOMA under SIC is seen to achieve the best performance, while, unlike the case with digital capacity-constrained fronthaul links, TIN always outperforms puncturing.

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