Abstract-Extensive research efforts are being attracted towards resource allocation in LTE networks. However, from the resource allocation perspectives, linear services such as Digital TV programs have been scarcely studied. In fact, for end-users requesting linear services, the maximization of the the number of users served is much important goal than maximizing the overall capacity of the network. In this paper, linear services oriented resource allocation strategy is proposed. The goal of the proposed algorithm is to maximize the success rate of the users, depending on a minimum required quality of service (QoS), measured in terms of user capacity constraint. The proposed method was tested and compared to the optimal branch and Cut solution and has shown good robustness against network and user parameters.

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Following the increasing growth in the demand on mobile TV, hybrid broadcast/broadband networks emerged as a suitable approach to overtake the challenges introduced by each network separately in order to enhance users' experience. This paper presents two possible scenarios for a hybrid, spatially separated, broadcast/broadband network to offer mobile TV linear services for the end users. Namely, the first scenario is based on shared spectrum access for both networks while the second one proposes a dedicated spectrum. Using a stochastic geometry approach, the paper derives analytical formulations for both the probability of coverage and ergodic capacity. These formulations are then used to optimize the hybrid network in terms of its key design parameters including the broadcast (BC) coverage radii, the broadband (BB) base stations' (BS) density, and spectral capacity. The results have shown that an optimal BC radius maximizing the probability of coverage and capacity exists and it depends on the BS density of the BB network. Other design parameters have been provided and analyzed leading to an optimal network deployment. To the best of the author's knowledge, this paper presents a first reference work dealing with the optimization of the hybrid network with the coexistence of broadband and broadcast networks, from stochastic geometry perspective, taking into account the inter-cell interference.

Hybrid broadcast/broadband network (HBBN) presents a potential solution to mitigate the increasing demand for mobile TV. A proper HBBN deployment alleviates the limitations that each standalone network faces, thereby enhancing the global network coverage and efficiency. In this paper, we propose to address the question of performance improvement expected from such HBBN by means of an analytical framework based on stochastic geometry modeling. To this end, we introduce a generic model of the HBBN where multiple broadcast transmitters and a broadband network are deployed in the same area, jointly offering linear services, one of the mobile TV services. Two different approaches derived from stochastic geometry are applied and compared through the analysis of what is commonly referred to as a Point Hole Process (PHP): Original Poisson Point Process (PPP), and reduced PPP. Both approaches are thoroughly analyzed to give better insights into broadcast/broadband coexistence while taking into account the inter-cell interference of both networks. Exact and simplified expressions for the key performance metrics are derived such as the probability of coverage and ergodic capacity. Those expressions are then used to numerically maximize the spectral and power efficiency of the HBBN regarding the broadcast coverage radius and transmitters' density. The results show that for a wide range of user density, the HBBN introduces gain compared to either BB or BC networks. To the best of the authors' knowledge, this paper presents the first work dealing with the optimization of HBBN based on such a generic model and taking inter-cell and internetwork interference into consideration.