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The cross- and co-tier interference creates the challenges to facilitate the concept of heterogeneous cellular networks (HCNs) in practice. In this paper, we establish a combined learning framework to autonomously mitigate the destructive interference. The macrocell is modeled as the leader and protects itself through pricing the interference from small-cells, which are the followers in the stochastic...
We consider the distributed pricing (DP) algorithm for adapting transmit beamforming vectors in a multi-user multiple-input multiple-output interference channel. Our objective is to maximize the sum of all user utilities. Each user announces an interference price which reflects the marginal cost of interference from other users. A particular user then updates its beamforming vector to maximize his...
This paper presents a cooperative decentralized scheme for adjusting the Uplink (UL)-Downlink (DL) configuration of a Small Cell Network (SCN) with a TDD air interface. The goal of the cooperative decentralized scheme is to make a more efficient use of common wireless resources, selecting convenient TDD-frame configurations to maximize a sum utility function that takes into account both individual...
This work discusses a pricing-based distributed network power minimization approach for multicarrier networks. The aim is to allocate the powers of transmitters over available carriers, such that all Transmitter-Receiver (Tx-Rx) links meet a rate constraint and the total transmit power of the network is minimized. We seek to find a local optimum of the total transmit power by solving the Karush-Kuhn-Tucker...
With the sharp increasing demand of the indoor coverage and network capacity, dense femtocells are the ultimate target of the femto cellular network deployment in urban environment However, dense femtocell deployment could introduce excessive inter-femtocell interference (IFI). To address this problem, this paper proposes a distributed power self-optimization scheme for the downlink of dense femtocell...
The traffic congestion problem is a common issue for the residents of metropolises. Although expanding the capacity of transportation systems and stimulating the public transportation may decrease the traffic congestion, they cannot completely solve the traffic congestion problem. As a solution for the worsening traffic congestion problem in urban areas, road pricing systems have been employed. In...
Nowadays, new communication paradigms such as those related to wireless cognitive networks, can take great advantages from advanced inventory management policies by considering radio resources as an extremely perishable commodity with a short-term life time. Starting from this challenging and multidisciplinary research field, the paper proposes to adapt the NewsVendor model, coming from Logistics,...
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