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)
—We propose a new approach for jointly scheduling deep sleep and allocating pilot and data transmit power in small cells with the aim of minimising energy consumption while maximising user utility within a mixed macro/small cell network. Our approach exploits the relatively predictable nature of traffic load across each day/week and is demonstrated to(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)
—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)
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