6533b821fe1ef96bd127c0e6

RESEARCH PRODUCT

Resource allocation for OFDMA systems with multi-cell joint transmission

Tommy SvenssonXin ChenCarmen BotellaThomas ErikssonJingya Li

subject

Mathematical optimizationComputational complexity theoryComputer scienceOrthogonal frequency-division multiplexingIterative methodTelecommunications linkBrute-force searchPrecodingScheduling (computing)Power control

description

This paper considers the downlink resource allocation of a coordinated multi-cell cluster in OFDMA systems with universal frequency reuse. Multi-cell joint transmission is considered via zero-forcing precoding. Furthermore, joint optimization of the user selection and power allocation across multiple subchannels and multiple cells is studied. The objective is to maximize the weighted sum rate under per-base-station power constraints. Based on general duality theory, two iterative resource allocation algorithms are proposed and compared with the optimal solution, which requires an exhaustive search of all possible combinations of users over all subchannels. Simulation results show that the two proposed algorithms achieve a performance very close to the optimal, with much lower computational complexity. In addition, we show that joint user set selection across multiple subchannels significantly improves the system performance in terms of the weighted sum rate.

yearjournalcountryeditionlanguage
2012-06-012012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
https://doi.org/10.1109/spawc.2012.6292883