By Nathalie Mitton, Valeria Loscri, Alexandre Mouradian
This e-book constitutes the lawsuits of the fifteenth foreign convention on advert Hoc Networks and instant, ADHOC-NOW 2016, held in Lille, France in July 2016.
The 23 complete papers provided including one brief paper during this quantity have been rigorously reviewed and chosen from sixty four submissions. The contributions are prepared in topical sections named: source allocation, concept and communications, PHY/MAC/routing in sensors/IoT, DTN/opportunistic networks, sensors/IoT, safety, VANET and ITS, and robots and MANETs.
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Additional info for Ad-hoc, Mobile, and Wireless Networks: 15th International Conference, ADHOC-NOW 2016, Lille, France, July 4-6, 2016, Proceedings
An iterative and low-complexity algorithm was proposed towards associating users to the OAPs and allocating the resources to them. Detailed numerical results were presented illustrating the beneﬁts of the proposed framework and comparing the impact of OFDMA versus NOMA transmission technique in the resource allocation process. It should be noted that the overall resource allocation problem was addressed in this problem under the assumption that all users request the same type of service. However, considering various types of requested services, which can be formulated by different utility functions and confronting the corresponding resource allocation problem towards achieving users’ Quality of Service (QoS) prerequisites in VLC wireless networks is of high interest and part of our current work.
User’s optimal uplink transmission power maximizes his overall perceived satisfaction, which is appropriately represented via the corresponding values of the utility function, as it is given by Eq. (7) considering either OFDMA or NOMA transmission technique. Towards supporting mobile user’s autonomicity, as well as to consider user’s selﬁsh behavior, we propose a distributed approach. A. Problem Formulation As mentioned before, user’s uplink transmission power is upper bounded, due to some physical and technical limitations.
E. NOMA, users exploit the whole bandwidth towards transmitting. E. Tsiropoulou et al. (a) (b) Fig. 4. Users’ average uplink transmission rate per OAP in the (a) uniform and (b) unbalanced users’ distribution (Color ﬁgure online) Finally, in Fig. 5(a) and (b) we present the total consumed uplink transmission power (Fig. 5(a)) and the total achieved uplink transmission rate (Fig. 5(b)) in the system of T = 8 OAPs, while the number of users increases, both for the OFDMA and NOMA transmission technique.