Optimal and Efficient Power Allocation for OFDM Non-Coherent Cooperative Transmission
Paper in proceedings, 2012

In this paper, we study the subchannel (SC) power allocation for orthogonal frequency division multiplexing (OFDM) multiple access points (APs) systems with non-coherent cooperative transmission. The objective is to maximize the total capacity under per-AP power constraints. It can be proved that the optimal solution can be obtained by the combination of an optimal SC partition search and the power allocation across SCs for each feasible partition. Existing work exhaustively searched the optimal SC partition and used Lagrange dual method to compute the power allocation across SCs. Since the entire complexity increases exponentially with the number of SCs, the existing method is unsuitable for practical implementation. In this paper, we propose a novel optimal power allocation algorithm for non-coherent cooperative transmission with a much lower complexity. Firstly, a concept of “cut-off SC” is proposed for searching the optimal SC partition. Then, an efficient optimal power allocation algorithm across SCs is proposed for any given cut-off SC. Simulation results demonstrate that the proposed algorithm is optimal with a polynomial complexity, and ends within an acceptable number of iterations.

optimal and efficient power allocation

OFDM

non-coherent cooperative transmission

Author

Xin Chen

Beijing University of Posts and Telecommunications (BUPT)

Xiaodong Xu

Beijing University of Posts and Telecommunications (BUPT)

Jingya Li

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Xiaofeng Tao

Beijing University of Posts and Telecommunications (BUPT)

Tommy Svensson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Hui Tian

Beijing University of Posts and Telecommunications (BUPT)

IEEE Wireless Communications and Networking Conference, WCNC

15253511 (ISSN)

1584-1589 6214034

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Signal Processing

DOI

10.1109/WCNC.2012.6214034

ISBN

978-146730437-5

More information

Latest update

5/23/2018