Capacity Maximizing Power Allocation for Interfering Wireless Links: A Distributed Approach
Recent results show that sum-rate maximizing multicell power allocation promises significant gains in interference-limited data networks. Finding practical, i.e. distributed, versions of this global optimization problem however remains a challenging task. In this paper, the authors establish a general framework for the distributed power allocation problem for N mutually interfering links enabling the authors to derive a fully distributed power allocation algorithm. Although a gain for N = 2 is observed, a performance gap is still observed compared to a centralized algorithm. As a way to fill that gap, they propose minimal information (in this case 1 bit) message passing between interfering links to improve performance.