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Content Provider | IET Digital Library |
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Author | Dashti, Mina Mokari, Nader Abedi, Mohhamad Reza |
Abstract | Femtocell networks are expected to offer significant performance improvement with low cost. However, adaptive transmission based on maximising the sum rate of macro and femto networks requires perfect channel quality information (CQI) of the macro and femto links. This assumption requires an infinite resolution feedback link, which is not always practical since it requires an excessive amount of bandwidth. This study considers the problem of maximising average sum rate under the constraint of average maximum power transmission at macro and femto users. A suboptimal iterative algorithm is developed for finding the optimal CQI quantisers as well as the discrete power and rate at macro and femto transmitter for each quantised CQI level so as to maximise the average sum rate of the system. The author's numerical results give the number of bits required to sufficiently represent the CQI to achieve almost the maximum sum rate attained using full knowledge of the CQI. |
Starting Page | 3451 |
Ending Page | 3458 |
Page Count | 8 |
ISSN | 17518628 |
Volume Number | 8 |
e-ISSN | 17518636 |
Issue Number | Issue 18, Dec (2014) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/8/18 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0315 |
Journal | IET Communications |
Publisher Date | 2014-12-18 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Adaptive Transmission Channel Quality Information CQI Quantisers Femto Link Femto Network Femtocell Network Femtocellular Radio Frequency Division Multiple Access Interpolation And Function Approximation Iterative Algorithm Iterative Method Macro Link Macro Network Mobile Radio System Multiple Access Communication Numerical Analysis Orthogonal Frequency-division Multiple Access Heterogeneous Network Resource Allocation Uplink Radio Resource Allocation |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering Computer Science Applications |
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