Results 11 to 20 of about 52,700 (275)

Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques

open access: yesIEEE Open Journal of the Communications Society, 2021
In the past few years, a large body of literature has been created on downlink Non-Orthogonal Multiple Access (NOMA), employing superposition coding and Successive Interference Cancellation (SIC), in multi-antenna wireless networks.
Bruno Clerckx   +9 more
doaj   +1 more source

Performance Analysis of a Cache-Aided Wireless Heterogeneous Network With Secrecy Constraints

open access: yesIEEE Access, 2021
In this paper, we analyze the impact of caching on the performance of a cache enabled system with heterogeneous traffic where one of the users need to be served with confidential data.
Georgios Smpokos   +3 more
doaj   +1 more source

Over-the-Air Implementation of NOMA: New Experiments and Future Directions

open access: yesIEEE Access, 2021
Non-orthogonal multiple access (NOMA) is widely recognized to increase the number of users and enhance the spectral efficiency in fifth-generation (5G) wireless networks and beyond.
Yue Qi, Xinliang Zhang, Mojtaba Vaezi
doaj   +1 more source

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

open access: yesIEEE Access, 2022
In conventional communication systems, any interference between two communicating points is regarded as unwanted noise since it distorts the received signals.
Ufuk Altun   +2 more
doaj   +1 more source

Non-orthogonal Multiple Access Enabled Scalable Video Multicast in HetNets [PDF]

open access: yesJisuanji kexue, 2021
In this paper,a resource management framework is presented for non-orthogonal multiple access (NOMA)-enhanced scalable video coding (SVC) multicast in heterogeneous networks (HetNets).In this framework,radio spectrum slicing for different base stations ...
JI Xiao-xiang, SHEN Hang, BAI Guang-wei
doaj   +1 more source

Analysis of fast sparse superposition codes [PDF]

open access: yes2011 IEEE International Symposium on Information Theory Proceedings, 2011
Sparse superposition codes with a fast adaptive successive decoder for the additive white Gaussian noise channel were introduced last year by the authors, along with presentation of reliability at rates approaching capacity. The present work presents ingredients of the distributional analysis of the decoder.
Andrew R. Barron, Antony Joseph
openaire   +1 more source

On the Error-Reducing Properties of Superposition Codes

open access: yes2023 XVIII International Symposium Problems of Redundancy in Information and Control Systems (REDUNDANCY), 2023
Next-generation wireless communication systems impose much stricter requirements for transmission rate, latency, and reliability. The peak data rate of 6G networks should be no less than 1 Tb/s, which is comparable to existing long-haul optical transport networks.
Kirill V. Andreev   +2 more
openaire   +2 more sources

Design of adaptive constellations and error protection coding for wireless network coding in 5-node butterfly networks

open access: yesEURASIP Journal on Wireless Communications and Networking, 2017
In this paper, we focus on the design of a reliable communication scheme for generic 5-node wireless butterfly networks (WBN). Since the WBN represents a natural extension of the basic two-way relay communication channel, we follow the paradigm of ...
Pavel Prochazka   +3 more
doaj   +1 more source

Flexibly control of vortex beams based on all-dielectric Pancharatnam-Berry phase transmission encoding metamaterials

open access: yesResults in Physics, 2023
Because the ohmic loss of metal materials affects the transmission efficiency of metasurface, we design a transmission-type all-dielectric coded metasurface element structure based on the principle of Pancharatnam-Berry geometric phase.
Peng Zhang   +6 more
doaj   +1 more source

Sparse Regression Codes for Multi-terminal Source and Channel Coding [PDF]

open access: yes, 2012
We study a new class of codes for Gaussian multi-terminal source and channel coding. These codes are designed using the statistical framework of high-dimensional linear regression and are called Sparse Superposition or Sparse Regression codes.
Tatikonda, Sekhar, Venkataramanan, Ramji
core   +1 more source

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