Efficient Techniques For in-band System Information Broadcast in Multi-Cell Massive MIMO
2020 (engelsk)Inngår i: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2020, s. 5140-5144Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]
In this paper we consider joint beamforming of data to scheduled terminals (STs) and broadcast of system information (SI) to idle terminals (ITs) on the same time-frequency resource in multi-cell multi-user massive MIMO systems. We propose two different multi-cell approaches to the broadcast of SI, i) synchronous broadcast of same SI symbols from all cells (SAME-SI), and ii) synchronous broadcast of statistically independent SI symbols from each cell (DIFF-SI). We also consider the traditional orthogonal access (OA) approach where a fraction of physical resource is reserved for broadcast of SI. Through analysis and simulations, it is observed that for both SAME-SI and DIFF-SI, joint beamforming and broadcasting (JBB) is more energy efficient than OA.
sted, utgiver, år, opplag, sider
IEEE, 2020. s. 5140-5144
Serie
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, E-ISSN 2379-190X
Emneord [en]
array signal processing, broadcast communication, cellular radio, energy conservation, MIMO communication, multi-access systems, synchronisation, telecommunication power management, telecommunication scheduling, in-band system information broadcast, time-frequency resource, multicell multiuser massive MIMO systems, SAME-SI, synchronous broadcast, independent SI symbols, DIFF-SI, orthogonal access approach, system information, joint beamforming and broadcasting, JBB, energy efficiency, scheduled terminals, idle terminals, Beamforming, Broadcast, Massive MIMO, Multi-cell
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-170116DOI: 10.1109/ICASSP40776.2020.9053435ISI: 000615970405080ISBN: 978-1-5090-6631-5 (digital)ISBN: 978-1-5090-6632-2 (tryckt)OAI: oai:DiVA.org:liu-170116DiVA, id: diva2:1535609
Konferanse
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Merknad
This work is supported by the EMR funding from the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India.
2020-09-292021-03-092021-09-22