Abstract
The widespread deployment of base stations constitutes a promising solution to cope with the ever-increasing wireless data rate demands. However, it also increases the interference levels, especially at the cell-edge. Most interference management techniques assume coordination between base stations, which involves undesired overhead and delays. To solve this problem, we propose a neighbor-friendly autonomous algorithm for power control in wireless heterogeneous networks that protects victim users from neighboring cells through a penalty factor in the power allocation level. We refer to this algorithm as neighbor-friendly iterative waterfilling (NF-IWF). In addition, we propose a low-complexity closed-form version that fixes the penalty factor by assuming a linear approximation of the victim user data rate. In high interference conditions, it can achieve a victim user data rate increase by a factor of 3.5 compared to IWF, 15 compared to soft frequency reuse (SFR), and 60 compared to equal power allocation (EPA) with a marginal decrease of the primary user data rate.
Highlights
The boost of novel wireless applications is producing an ever-increasing demand for larger data rates.the massive market penetration of smartphones adds more pressure to network operators, mobile manufacturers, and standardization groups to satisfy the demands of an ever-larger number of users.Improvements from a physical layer perspective have shown a low potential to deal with these demands
To tackle the mentioned problems, we propose in this paper a neighbor-friendly autonomous algorithm for power control in wireless heterogeneous networks
In contrast to greedy algorithms like equal power allocation (EPA) and iterative waterfilling (IWF), neighbor-friendly iterative waterfilling (NF-IWF) protects the data rate of victim users located within a certain distance from the base station
Summary
The boost of novel wireless applications is producing an ever-increasing demand for larger data rates. In IWF, each base station maximizes its own data rate in a greedy way by allocating more power to those subcarriers with the best channel to interference and noise ratio (CINR), without considering the interference caused to victim users from neighboring cells. To tackle the mentioned problems, we propose in this paper a neighbor-friendly autonomous algorithm for power control in wireless heterogeneous networks It protects victim users within a certain distance from the base station through a frequency-dependent penalty factor in the power allocation level. We consider that wc = 1 − wvc, which represents a trade-off between protecting victim users of a neighboring cell at the cost of degrading the data rate of primary users These weights can be chosen based on upper layer information such as queue length or quality of service requirements. The transmit powers of the neighboring cells svkc are assumed as an EPA without performance degradation as observed in later sections
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