Imperial College London
Portrait Picture

ProfessorDenizGunduz

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor in Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 6218d.gunduz Website

 
 
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Assistant

 

Ms Joan O'Brien +44 (0)20 7594 6316

 
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Location

 

1016Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zhao:2020:10.1109/tbc.2019.2932339,
author = {Zhao, J and Gunduz, D and Simeone, O and Gomez-Barquero, D},
doi = {10.1109/tbc.2019.2932339},
journal = {IEEE Transactions on Broadcasting},
pages = {216--228},
title = {Non-orthogonal unicast and broadcast transmission via joint beamforming and LDM in cellular networks},
url = {http://dx.doi.org/10.1109/tbc.2019.2932339},
volume = {66},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Limited bandwidth resources and higher energy efficiency requirements motivate incorporating multicast and broadcast transmission into the next-generation cellular network architectures, particularly for multimedia streaming applications. Layered division multiplexing (LDM), a form of non-orthogonal multiple access (NOMA), can potentially improve unicast throughput and broadcast coverage with respect to traditional orthogonal frequency division multiplexing (FDM) or time division multiplexing (TDM), by simultaneously using the same frequency and time resources for multiple unicast or broadcast transmissions. In this paper, the performance of LDM-based unicast and broadcast transmission in a cellular network is studied by assuming a single frequency network (SFN) operation for the broadcast layer, while allowing arbitrarily clustered cooperation among the base stations (BSs) for the transmission of unicast data streams. Beamforming and power allocation between unicast and broadcast layers, the so-called injection level in the LDM literature, are optimized with the aim of minimizing the sum-power under constraints on the user-specific unicast rates and on the common broadcast rate. The effects of imperfect channel coding and imperfect channel state information (CSI) are also studied to gain insights into robust implementation in practical systems. The non-convex optimization problem is tackled by means of successive convex approximation (SCA) techniques. Performance upper bounds are also presented by means of the S-procedure followed by semidefinite relaxation (SDR). Finally, a dual decomposition-based solution is proposed to facilitate an efficient distributed implementation of LDM in each of the SCA subproblems, where the unicast beamforming vectors can be obtained locally by the cooperating BSs. Numerical results are presented, which show the tightness of the proposed bounds and hence the near-optimality of the proposed solutions.
AU  - Zhao,J
AU  - Gunduz,D
AU  - Simeone,O
AU  - Gomez-Barquero,D
DO  - 10.1109/tbc.2019.2932339
EP  - 228
PY  - 2020///
SN  - 0018-9316
SP  - 216
TI  - Non-orthogonal unicast and broadcast transmission via joint beamforming and LDM in cellular networks
T2  - IEEE Transactions on Broadcasting
UR  - http://dx.doi.org/10.1109/tbc.2019.2932339
UR  - https://ieeexplore.ieee.org/document/8798992
UR  - http://hdl.handle.net/10044/1/72672
VL  - 66
ER  -
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