Optimal Power Allocation and Scheduling for Two-Cell Capacity Maximization

Anders Gjendemsjø; Geir E.  Øien; David  Gesbert; Saad G.  Kiani

2nd International ICST Workshop on Resource Allocation in Wireless Networks

Research Article

Optimal Power Allocation and Scheduling for Two-Cell Capacity Maximization

Cite: BibTeX Plain Text

@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

Anders Gjendemsjø¹^,*, Geir E. Øien¹^,*, David Gesbert²^,*, Saad G. Kiani²^,*

1: Dept. of Electronics and Telecom., Norwegian Univ. of Science and Technology, 7491 Trondheim, Norway.
2: Mobile Communications Department, Institute Eurecom, 06560 Sophia-Antipolis, France.

*Contact email: gjendems@iet.ntnu.no, oien@iet.ntnu.no, gesbert@eurecom.fr, kiani@eurecom.fr

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.

Published: 2006-08-07
Publisher: IEEE

: http://dx.doi.org/10.1109/WIOPT.2006.1666517