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The concept of bidirectional relaying is a key technique to improve the performance in wireless networks such as sensor, ad-hoc, and even cellular systems. It applies to three-node networks, where a relay node establishes a bidirectional communication between two other nodes using a decode-and-forward protocol. We assume that the communication is disturbed by unknown varying interference and analyze...
The paradigm shift from coordinated to uncoordinated wireless networks comes along with the need of new concepts for the frequency usage since interference will be an ubiquitous phenomenon. In this work, we analyze unknown varying interference in wireless networks with the help of the concept of arbitrarily varying channels. This concept shows that the unknown interference has a dramatic impact on...
The paper addresses the problem of interference modeling for wireless networks. Two axiomatic frameworks are known from the literature: (1) standard interference functions introduced by Yates in [JSAC 1995], and (2) general interference functions proposed by the authors in their previous work. In this paper, both frameworks are analyzed and compared. It is shown that (1) is contained in the more general...
In this paper we analyze the structure of certain power-constrained utility sets, based on the axiomatic framework of log-convex interference functions. Log-convex interference functions contain convex and linear interference functions as a special case. We analyze the boundary of the set. It is shown how Pareto optimality of boundary points depends on the interference coupling between the users....
This paper investigates the existence of a proportionally fair power allocation for an interference-coupled wireless system. The performance measure is the inverse SIR, and interference functions are assumed to be log-convex. Log-convex interference functions occur in many practical contexts (e.g. linear interference functions, or robust designs). The problem of proportional fairness can be formulated...
We address the problem of maximizing the minimum signal-to-interference ratio (SIR) in a multiuser system. In the context of resource allocation, this is referred to as max-min fairness. Moreover, the balanced SIR margin is an indicator for feasibility, so the problem also plays a fundamental role for the characterization of the SIR achievable region and related regions. In this paper, we propose...
We consider a multiuser wireless network, where users are coupled by interference. Thus, transmission powers should be optimized jointly with the receive strategy, like beamforming, CDMA, base station assignment, etc. We study the problem of minimizing the total transmission power while maintaining individual QoS values for all users. This problem can be solved by the fixed-point iteration proposed...
In this paper, we review and combine recent results from multiuser MIMO MSE-based performance optimization and from concave and convex interference function calculus. First, a generalized MIMO MAC weighted MSE-based performance measure is developed using matrix-monotone functions. Next, the connection to interference functions is established. The representation of convex and concave interference functions...
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