An enhanced cognitive femtocell approach for co-channel downlink interference avoidance
- Submitting institution
-
Brunel University London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 103-120111-4991
- Type
- D - Journal article
- DOI
-
10.1109/MWC.2016.1500380WC
- Title of journal
- Ieee Wireless Communications
- Article number
- -
- First page
- 132
- Volume
- 23
- Issue
- 6
- ISSN
- 1536-1284
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2016
- URL
-
http://bura.brunel.ac.uk/handle/2438/15511
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
4 - Sensors & Digital Systems
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Future 5G networks will deploy many more low-power nodes such as femtocells within the macrocell's coverage areas. However, this raises the challenge of increased interference occurring when femtocells are deployed in a co-channel with the macrocell.
Simulation results show that cognitive femtocells that operate adaptively and monitor spectrum allocations continuously minimizes co-channel interference on the macrocell downlink signal thereby improving network performance. The impact of this technology is that it will reduce congestion on mobile networks and allow more users to mobile networks thereby improving network operators economic performance.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -