Biswas, Sinchan, Dey, Subhrakanti and Shirazinia, Amirpasha (2019) Sum Throughput Maximization in a Cognitive Multiple Access Channel with Cooperative Spectrum Sensing and Energy Harvesting. IEEE Transactions on Cognitive Communications and Networking, 5 (2). pp. 382-399. ISSN 2332-7731
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Abstract
This paper focuses on the problem of sensing
throughput optimization in a fading multiple access cognitive
radio (CR) network, where the secondary user (SU) transmitters participate in cooperative spectrum sensing and are capable
of harvesting energy and sharing energy with each other. We
formulate the optimization problem as a maximization of the
expected achievable sum-rate over a finite horizon, subject to
an average interference constraint at the primary receiver, peak
power constraints, and energy causality constraints at the SU
transmitters. The optimization problem is a non-convex, mixed
integer non-linear program (MINLP) involving the binary action
to sense the spectrum or not, and the continuous variables, such
as the transmission power, shared energy, and sensing time.
The problem is analyzed under two different assumptions on
the available information pattern: 1) non-causal channel state
information (CSI), energy state information (ESI), and infinite
battery capacity and 2) the more realistic scenario of the causal
CSI/ESI and finite battery. In the non-casual case, this problem
can be solved by an exhaustive search over the decision variable or an MINLP solver for smaller problem dimensions, and
a novel heuristic policy for larger problems, combined with an
iterative alternative optimization method for the continuous variables. The causal case with finite battery is optimally solved
using a dynamic programming (DP) methodology, whereas a
number of sub-optimal algorithms are proposed to reduce the
computational complexity of DP. Extensive numerical simulations
are carried out to illustrate the performance of the proposed
algorithms. One of the main findings indicates that the energy
sharing is more beneficial when there is a significant asymmetry between average harvested energy levels/channel gains of
different SUs.
Item Type: | Article |
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Additional Information: | Cite as: S. Biswas, S. Dey and A. Shirazinia, "Sum Throughput Maximization in a Cognitive Multiple Access Channel With Cooperative Spectrum Sensing and Energy Harvesting," in IEEE Transactions on Cognitive Communications and Networking, vol. 5, no. 2, pp. 382-399, June 2019, doi: 10.1109/TCCN.2019.2908860. |
Keywords: | Energy harvesting; cognitive radio; multiple access channel; spectrum sensing; fading channel; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 14076 |
Identification Number: | 10.1109/TCCN.2019.2908860 |
Depositing User: | Subhrakanti Dey |
Date Deposited: | 25 Feb 2021 14:25 |
Journal or Publication Title: | IEEE Transactions on Cognitive Communications and Networking |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/14076 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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