Bahar Partov

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We formulate adaptation of antenna tilt angle as a utility fair optimization task. This optimization problem is nonconvex, but in this paper we show that, under reasonable conditions, it can be reformulated as a convex optimization. Using this insight, we develop a lightweight method for finding the optimal antenna tilt angles, making use of measurements(More)
To improve network performance, LTE technology is rapidly being rolled out by network operators. At the same time almost all mobile devices also possess a WiFi interface which can potentially be used in tandem with LTE to further improve performance. Motivated by this and by the advantages of link aggregation, there is currently much interest in the(More)
We consider proportional fair rate allocation in a heterogeneous network with a mix of LTE and 802.11 Radio Access Technologies (RATs) which supports multipath and multi-homed operation (simultaneous connection of a user device to multiple LTE BSs and one 802.11 AP). We show that the utility fair optimisation problem is non-convex but that a global optimum(More)
We consider proportional fair rate allocation in a heterogeneous network with a mix of LTE and 802.11 cells which supports multipath and multihomed operation simultaneous connection of a user device to multiple LTE base stations and 802.11 access points. We show that the utility fair optimization problem is non-convex but that a global optimum can be found(More)
In this paper we investigate the role of tilt angle adjustment in next generation LTE networks where SIMO receivers and adaptive OFDM/TDMA transmission scheduling may additionally be used to mitigate interference. We present detailed performance measurements when (i) optimal fair tilt angle adjustment is applied in combination with SIMO receivers using(More)
We consider user to cell association in a heterogeneous network with a mix of LTE/3G and WiFi cells. Individual user preferences are often neglected when a user to cell association decision is made. In this paper we propose use of a recommender system to inform the mapping of users to cells. We demonstrate the effectiveness of the proposed grouped-based(More)
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