TR2015-078
A Stochastic Geometry Analysis of Cooperative Wireless Networks Powered by Energy Harvesting
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- "A Stochastic Geometry Analysis of Cooperative Wireless Networks Powered by Energy Harvesting", IEEE International Conference on Communications (ICC), IEEE, Eds., DOI: 10.1109/ICC.2015.7248617, June 2015, pp. 1988-1993.BibTeX TR2015-078 PDF
- @inproceedings{Khan2015jun,
- author = {Khan, T. and Orlik, P.V. and Kim, K.J.},
- title = {A Stochastic Geometry Analysis of Cooperative Wireless Networks Powered by Energy Harvesting},
- booktitle = {IEEE International Conference on Communications (ICC)},
- year = 2015,
- editor = {IEEE},
- pages = {1988--1993},
- month = jun,
- doi = {10.1109/ICC.2015.7248617},
- issn = {1550-3607},
- url = {https://www.merl.com/publications/TR2015-078}
- }
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- "A Stochastic Geometry Analysis of Cooperative Wireless Networks Powered by Energy Harvesting", IEEE International Conference on Communications (ICC), IEEE, Eds., DOI: 10.1109/ICC.2015.7248617, June 2015, pp. 1988-1993.
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Abstract:
A large wireless network with energy harvesting transmitters is considered, where a group of K transmitters forma cluster to cooperatively serve a desired user. Using stochastic geometry, simple closed-form expressions are derived to characterize the outage performance as a function of important parameters such as the energy harvesting rate, buffer size and cluster size for a given cluster geometry. The developed framework also allows the K in-cluster transmitters to have different energy harvesting capabilities. A comparison with simulation results reveals that the derived expressions closely model the signal-to-interference and-noise ratio distribution at the receiver, particularly in the low-outage regime. Lastly, the developed framework is used to investigate the impact of different parameters such as cluster and buffer size on outage performance.