Abstract
We propose a new subchannel assignment algorithm for the problem of energy-efficient allocation of subchannels and powers to users for a single-cell OFDMA downlink transmission. It is well known that the joint allocation of subchannels and power for maximizing the energy efficiency of transmission is time-consuming due to the non-convexity of the objective function. Recently, the problem of energy-efficient resource allocation OFDMA-based downlink transmission has been formulated as a two-step allocation process: the first step for subchannel assignment and the second step for power allocation. This paper proposes a low-complexity suboptimal algorithm for assigning subchannels. Applying the Charnes-Cooper Transformation technique and by using the outcome of the proposed subchannel assignment algorithm, we are able to allocate optimum power for each user by solving a single-variable non-linear equation under proportional rate constraints. Numerical results demonstrate that the proposed subchannel assignment algorithm improves both energy and spectral efficiencies compared to the existing ones in the literature.
| Original language | English |
|---|---|
| Title of host publication | 2015 24th Wireless and Optical Communication Conference, WOCC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 149-153 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479988549 |
| DOIs | |
| Publication status | Published - 2 Dec 2015 |
| Event | 24th Wireless and Optical Communication Conference, WOCC 2015 - Taipei, Taiwan, Province of China Duration: 23 Oct 2015 → 24 Oct 2015 |
Publication series
| Name | 2015 24th Wireless and Optical Communication Conference, WOCC 2015 |
|---|
Conference
| Conference | 24th Wireless and Optical Communication Conference, WOCC 2015 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 23/10/15 → 24/10/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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