Q. -D. Vu, L. -N. Tran and M. Juntti, "Noncoherent Joint Transmission Beamforming for Dense Small Cell Networks: Global Optimality, Efficient Solution and Distributed Implementation," in IEEE Transactions on Wireless Communications, vol. 19, no. 9, pp. 5891-5907, Sept. 2020, doi: 10.1109/TWC.2020.2998067
Noncoherent joint transmission beamforming for dense small cell networks : global optimality, efficient solution and distributed implementation
|Author:||Vu, Quang-Doanh1; Tran, Le-Nam2; Juntti, Markku1|
1Centre for Wireless Communications, University of Oulu, FI-90014, Finland
2School of Electrical and Electronic Engineering, University College Dublin, Ireland
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020081961034
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-08-19
We investigate the coordinated multi-point noncoherent joint transmission (JT) in dense small cell networks. The goal is to design beamforming vectors for macro cell and small cell base stations (BSs) such that the weighted sum rate of the system is maximized, subject to a total transmit power at individual BSs. The optimization problem is inherently nonconvex and intractable, making it difficult to explore the full potential performance of the scheme. To this end, we first propose an algorithm to find a globally optimal solution based on the generic monotonic branch reduce and bound optimization framework. Then, for a more computationally efficient method, we adopt the inner approximation (InAp) technique to efficiently derive a locally optimal solution, which is numerically shown to achieve near-optimal performance. In addition, for decentralized networks such as those comprising of multi-access edge computing servers, we develop an algorithm based on the alternating direction method of multipliers, which distributively implements the InAp-based solution. Our main conclusion is that the noncoherent JT is a promising transmission scheme for dense small cell networks, since it can exploit the densitification gain, outperforms the coordinated beamforming, and is amenable to distributed implementation.
IEEE transactions on wireless communications
|Pages:||5891 - 5907|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the Academy of Finland under the projects “Flexible Uplink-Downlink Resource Management for Energy and Spectral Efficiency Enhancing in Future Wireless Networks (FURMESFuN)” under Grant 310898, and “6Genesis Flagship” under Grant 318927. This publication has emanated from research supported in part by a Grant from Science Foundation Ireland under Grant number 17/CDA/4786.
|Academy of Finland Grant Number:||
310898 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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