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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ashourian, Mohsen Salimian, Razieh Nasab, Homayoun Mahdavi |
| Copyright Year | 2012 |
| Abstract | In orthogonal frequency division with multiple access (OFDMA) systems dynamic radio resource allocation improves overall performance by exploiting the multiuser diversity gains. A key issue in OFDMA is the allocation of the OFDM subcarriers and power among users sharing the channel. This paper proposes a new rate adaptive resource allocation scheme in the OFDMA downlink transmission system. Our proposed algorithm is based on the users’ sensitivity to the subcarrier allocation which means how frequency selective is the channel from the user’s perspective. As a result of frequency selectivity of the channel, different subchannels of the same user experience different levels of fade. However, how different they undergo fading could be measured by difference between maximum and minimum channel gain of that user. Our proposed method is based on difference between maximum channel gain and minimum channel gain for each user and uniform distribution of power among subcarriers. Simulation results show that the proposed algorithm achieves higher capacity over fixed TDMA method, and reported suboptimal methods with acceptable rate proportionality. |
| Starting Page | 519 |
| Ending Page | 529 |
| Page Count | 11 |
| File Format | |
| ISSN | 09296212 |
| Journal | Wireless Personal Communications |
| Volume Number | 71 |
| Issue Number | 1 |
| e-ISSN | 1572834X |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-08-29 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Adaptive resource allocation OFDMA Multiuser diversity Multiple access Resource allocation Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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