Multiple access in cognitive radio networks: from orthogonal and non-orthogonal to rate-splitting

Faculty Engineering Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Journal: IEEE Access IEEE Volume: 9
Keywords : Multiple access , cognitive radio networks: from    
Abstract:
Due to the increasingly complicated communication scenarios and network architectures as well as growing trafc demands for high speed connectivity, dynamic spectrum allocation in fth generation (5G) networks becomes insufcient to guarantee the satisfaction of main network requirements in terms of spectrum efciency (SE), scalability, delay, and energy efciency (EE). Enormous multiple access schemes and cognitive radio (CR) network scenarios come to fulll these requirements and enhance network functionalities. With multiple access schemes, users are able to transmit their data streams simultaneously under maximum capacity constraints. On the other hand, vacant spectrum holes are exploited in an opportunistic manner via CR and software dened radio. In order to exploit these spectrum holes as well as meeting different network requirements, several multiple access techniques have been presented that have been initiated through the adoption of orthogonal multiple access (OMA) scheme. Additionally, non-orthogonal multiple access (NOMA) and space division multiple access (SDMA) are presented to achieve a promising multiplexing gain as well as to address the inefcient spectrum utilization incurred with OMA schemes. However, such multiplexing gain is limited as it depend on the channel conditions. Accordingly, a generalized multiple access scheme has been presented recently, namely rate splitting multiple access (RSMA), to further enhance the SE. In this paper, we provide a comprehensive study regarding the key multiple access schemes presented for CRNs to further enhance the use of spectral resources, and additionally highlights the key implementation challenges and the enabling techniques addressed to overcome it. We have given a special attention to the enhances provided by RSMA as compared with OMA, SDMA, and NOMA techniques. Finally, some open issues are spotted to shed lights on the need for further studies and future research efforts.
   
     
 
       

Author Related Publications

  • Saleh Ibrahiem Saied Saleh, "Rate Splitting Multiple Access Scheme for Cognitive Radio Network", The Egyptian International Journal of Engineering Sciences and Technology, 2021 More
  • Saleh Ibrahiem Saied Saleh, "Performance Evaluation of 5G Modulation Techniques", Springer US, 2021 More
  • Saleh Ibrahiem Saied Saleh, "A Low Complexity and High Accuracy Frame Synchronization for Optical OFDM Systems", IEEE, 2011 More
  • Saleh Ibrahiem Saied Saleh, "Performance Analysis of Optical OFDM systems", IEEE, 2011 More
  • Saleh Ibrahiem Saied Saleh, "Analysis of partial pilot filling phase noise compensation for CO-OFDM systems", IEEE, 2013 More

Department Related Publications

  • Mohammed Ayesh Muhammad Hanafi, "Compressed sensing for reliable body area propagation with efficient signal reconstruction", IEEE, 2018 More
  • Saleh Ibrahiem Saied Saleh, "Rate Splitting Multiple Access Scheme for Cognitive Radio Network", The Egyptian International Journal of Engineering Sciences and Technology, 2021 More
  • Saleh Ibrahiem Saied Saleh, "Performance Evaluation of 5G Modulation Techniques", Springer US, 2021 More
  • Nabila Alsawy Elsayed Elsawy, "Mode Skipping for Screen Content Coding Based On Neural Network Classifier", Springer, 2021 More
  • Nabila Alsawy Elsayed Elsawy, "Efficient Coding Unit Classifier for HEVC Screen Content Coding Based on Machine Learning", Springer, 2022 More
Tweet