Research Article
Optimal Power Allocation and Scheduling for Two-Cell Capacity Maximization
@INPROCEEDINGS{10.1109/WIOPT.2006.1666517, author={Anders Gjendemsj\`{u} and Geir E. \`{U}ien and David Gesbert and Saad G. Kiani}, title={Optimal Power Allocation and Scheduling for Two-Cell Capacity Maximization}, proceedings={2nd International ICST Workshop on Resource Allocation in Wireless Networks}, publisher={IEEE}, proceedings_a={RAWNET}, year={2006}, month={8}, keywords={}, doi={10.1109/WIOPT.2006.1666517} }- Anders Gjendemsjø
Geir E. Øien
David Gesbert
Saad G. Kiani
Year: 2006
Optimal Power Allocation and Scheduling for Two-Cell Capacity Maximization
RAWNET
IEEE
DOI: 10.1109/WIOPT.2006.1666517
Abstract
We consider the problem of optimally allocating the base station transmit power in two neighboring cells for a TDMA wireless cellular system, to maximize the total system throughput under interference and noise impairments. Employing dynamic reuse of spectral resources, we impose a peak power constraint at each base station and allow for coordination between the base stations. By an analytical derivation we find that the optimal power allocation then has a remarkably simple nature: Depending on the noise and channel gains, transmit at full power only at base station 1 or base station 2, or both. Utilizing the optimal power allocation we study optimal link adaptation, and compare to adaptive transmission without power control. Results show that allowing for power control significantly increases the overall capacity for an average user pair, in addition to considerable power savings. Furthermore, we investigate power adaptation in combination with scheduling of users in a time slotted system. Specifically, the capacity-optimal single-cell scheduler [1] is generalized to the two-cell case. Thus, both power allocation and multiuser diversity are exploited to give substantial network capacity gains.
