Wireless information and energy transfer in multi-cluster MIMO uplink networks through opportunistic interference alignment
Wireless information and energy transfer in multi-cluster MIMO uplink networks through opportunistic interference alignment
In this paper, we consider a K-cluster (K >= 2) simultaneous wireless information and power transfer (SWIPT) network, where S nodes (S >= 2) are selected from N nodes within each cluster for the uplink information transmission (IT) and the remaining N - S idle nodes are dedicated to energy harvesting (EH). Based on the intra-cluster performance aware (ICPA) philosophy, a pair of opportunistic interference alignment (OIA) schemes, namely the coarse ICPA-OIA (C-ICPA-OIA) and the refined ICPA-OIA (R-ICPA-OIA), are proposed for balancing the sum rate performance achieved and the energy harvested. Specifically, the C-ICPA-OIA treats the overall signal strength within the reference signal subspace (RSS) as a coarse description of the node’s effective signal strength. By comparison, to take full advantage of zero-forcing (ZF) based reception, the R-ICPA-OIA considers the projected signal strength with respect to the orthonormal basis of RSS as a substantially refined description of the node’s effective signal strength. Furthermore, we analyzed the harvested power and the working time of the system. Extensive simulation results validate our theoretical analyses, demonstrating that our schemes outperform the existing OIA schemes.
opportunistic interference alignment, multinode scheduling, energy harvesting, simultaneous wireless information and power transfer
3100-3111
Ren, Yuan
6db62480-f03b-4c7c-b58c-1f89bef549cd
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Gao, Hui
d1b095e6-df29-4eb6-b7fb-efa6baf8e162
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
14 June 2016
Ren, Yuan
6db62480-f03b-4c7c-b58c-1f89bef549cd
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Gao, Hui
d1b095e6-df29-4eb6-b7fb-efa6baf8e162
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Ren, Yuan, Lv, Tiejun, Gao, Hui and Yang, Shaoshi
(2016)
Wireless information and energy transfer in multi-cluster MIMO uplink networks through opportunistic interference alignment.
[in special issue: Special Section on Green Communications and Networking for 5G Wireless]
IEEE Access, 4, .
(doi:10.1109/ACCESS.2016.2580681).
Abstract
In this paper, we consider a K-cluster (K >= 2) simultaneous wireless information and power transfer (SWIPT) network, where S nodes (S >= 2) are selected from N nodes within each cluster for the uplink information transmission (IT) and the remaining N - S idle nodes are dedicated to energy harvesting (EH). Based on the intra-cluster performance aware (ICPA) philosophy, a pair of opportunistic interference alignment (OIA) schemes, namely the coarse ICPA-OIA (C-ICPA-OIA) and the refined ICPA-OIA (R-ICPA-OIA), are proposed for balancing the sum rate performance achieved and the energy harvested. Specifically, the C-ICPA-OIA treats the overall signal strength within the reference signal subspace (RSS) as a coarse description of the node’s effective signal strength. By comparison, to take full advantage of zero-forcing (ZF) based reception, the R-ICPA-OIA considers the projected signal strength with respect to the orthonormal basis of RSS as a substantially refined description of the node’s effective signal strength. Furthermore, we analyzed the harvested power and the working time of the system. Extensive simulation results validate our theoretical analyses, demonstrating that our schemes outperform the existing OIA schemes.
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Accepted/In Press date: 8 June 2016
Published date: 14 June 2016
Keywords:
opportunistic interference alignment, multinode scheduling, energy harvesting, simultaneous wireless information and power transfer
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 397392
URI: http://eprints.soton.ac.uk/id/eprint/397392
PURE UUID: d86e8347-407d-4bd9-8b34-232caf5faa44
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Date deposited: 30 Jun 2016 14:11
Last modified: 15 Mar 2024 01:13
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Author:
Yuan Ren
Author:
Tiejun Lv
Author:
Hui Gao
Author:
Shaoshi Yang
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