Name
Title | ||
|---|---|---|
Sum Computational Bits Maximization for Full-Duplex Enabled Wireless-Powered Mobile Edge Computing Systems |
Abstract | ||
|---|---|---|
Wireless-powered mobile edge computing (WP-MEC) can provide the wireless devices (WDs) with computing service and energy supply. However, the WP-MEC systems generally suffer from the dilemma of the trade-off between energy harvesting and task offloading efficiency since the two tasks are usually implemented during different time slots. In this paper, we propose to use the full-duplex (FD) technique at the hybrid access point (HAP). Specifically, the FD HAP can broadcast wireless power and receive the tasks over the same frequency band simultaneously. The time allocation, HAP transmit power, local computing frequencies and transmit power of the WDs are jointly optimized to maximize the sum computational bits (SCBs). For the case with perfect self-interference cancellation (SIC), the alternating optimization (AO) method is exploited. In addition, we extend the AO for the case with imperfect SIC. Our numerical results show the benefits of exploiting FD technique to the WP-MEC systems. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ICCC55456.2022.9880673 | 2022 IEEE/CIC International Conference on Communications in China (ICCC) |
Keywords | DocType | ISSN |
Wireless powered mobile edge computing,full-duplex,sum computational bits maximization | Conference | 2377-8644 |
ISBN | Citations | PageRank |
978-1-6654-8481-7 | 0 | 0.34 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengcheng Chen | 1 | 1 | 0.69 |
| Bin Lyu | 2 | 0 | 0.34 |
| Haiyan Guo | 3 | 21 | 7.42 |
| Zhen Yang | 4 | 45 | 13.51 |