2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016
In this paper, we address the joint channel and power allocation problem for Device-to-Device (D2... more In this paper, we address the joint channel and power allocation problem for Device-to-Device (D2D) communications underlaying uplink cellular networks. We aim to maximize the sum-rate of D2D communications while fulfilling the QoS requirements for both cellular users (CUs) and D2D pairs (DUs). We first propose a heuristic channel assignment algorithm in which a cellular channel is allowed to be shared by multiple DUs and every DU can reuse multiple channels. Given this assigned channels, a price-based Stackelberg game is then formulated to obtain the sub-optimal transmission power for DUs. The simulation results demonstrate that our proposed joint channel and power allocation scheme has a superiority over a few existing resource allocation schemes for D2D communications in terms of D2D sum-rate.
2016 IEEE Symposium on Computers and Communication (ISCC), 2016
Two-tier networks consisting of macrocell and femtocells are provided as a solution to increase c... more Two-tier networks consisting of macrocell and femtocells are provided as a solution to increase capacity and improve indoor coverage of cellular networks. In two-tier networks, when the spectrum is shared by macrocell and all of femtocells, the cross-tier and co-tier interference should be taken into account. In this paper, we investigate the power control problem of minimizing the aggregate transmit power for macro-tier and the joint power control and sub-channel allocation problem of maximizing the total rate for femto-tier, both in uplink transmission, while the cross-tier and co-tier interference are both taken into account. Then, to solve these problems, we propose distributed sub-optimal algorithms for both macro and femto-tier. Finally, simulation results are presented to confirm out performance of our proposed algorithm and to compare with the existing algorithm.
2015 IEEE/CIC International Conference on Communications in China (ICCC), 2015
Device-to-Device (D2D) communication as a promising part of next generation wireless networks imp... more Device-to-Device (D2D) communication as a promising part of next generation wireless networks improves network performance by enabling direct communication between nearby mobile devices. However, as an underlay to cellular network, the resulting co-channel interference degrades the system performance, if available resources are not adequately allocated for D2D pairs. In this paper, we formally state the uplink resource allocation problem of maximizing system sum-rate while taking the signal-to-interference-plus-noise ratio (SINR) constraints into account for each user. A centralized scheme is proposed in which in contrast to existing works a D2D user equipment (DUE) is allowed to reuse resources of more than one cellular user equipment (CUE), and a resource of CUE is allowed to be shared by multiple DUEs. According to this approach, both CUEs and DUEs make probabilistic resource sharing decisions by taking advantage of a concept namely, Adaptive Interference Restricted Region (AIRR). Simulation results show that our proposed approach, exhibits a near-optimal sum-rate, and outperforms existing related schemes.
21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2010
We propose a scheme for maintaining the requested SIR of each user under uncertainty of system pa... more We propose a scheme for maintaining the requested SIR of each user under uncertainty of system parameters in the power control of interference limited wireless networks. In doing so, we keep the outage probability of users below their predefined threshold with minimal power consumption. To reduce the complexity, we apply the notion of chance constraint robust optimization to the outage probability. This approach preserves the convexity of the problem and maintains its tractability. For solving the reformulated problem, a distributed probabilistic robust power algorithm is developed based on the standard interference function and local convergence, which utilizes infrequent message passing. We derive the conditions for the convergence of our algorithm, and prove the optimality of the equilibrium.
2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016
In this paper, we address the joint channel and power allocation problem for Device-to-Device (D2... more In this paper, we address the joint channel and power allocation problem for Device-to-Device (D2D) communications underlaying uplink cellular networks. We aim to maximize the sum-rate of D2D communications while fulfilling the QoS requirements for both cellular users (CUs) and D2D pairs (DUs). We first propose a heuristic channel assignment algorithm in which a cellular channel is allowed to be shared by multiple DUs and every DU can reuse multiple channels. Given this assigned channels, a price-based Stackelberg game is then formulated to obtain the sub-optimal transmission power for DUs. The simulation results demonstrate that our proposed joint channel and power allocation scheme has a superiority over a few existing resource allocation schemes for D2D communications in terms of D2D sum-rate.
2016 IEEE Symposium on Computers and Communication (ISCC), 2016
Two-tier networks consisting of macrocell and femtocells are provided as a solution to increase c... more Two-tier networks consisting of macrocell and femtocells are provided as a solution to increase capacity and improve indoor coverage of cellular networks. In two-tier networks, when the spectrum is shared by macrocell and all of femtocells, the cross-tier and co-tier interference should be taken into account. In this paper, we investigate the power control problem of minimizing the aggregate transmit power for macro-tier and the joint power control and sub-channel allocation problem of maximizing the total rate for femto-tier, both in uplink transmission, while the cross-tier and co-tier interference are both taken into account. Then, to solve these problems, we propose distributed sub-optimal algorithms for both macro and femto-tier. Finally, simulation results are presented to confirm out performance of our proposed algorithm and to compare with the existing algorithm.
2015 IEEE/CIC International Conference on Communications in China (ICCC), 2015
Device-to-Device (D2D) communication as a promising part of next generation wireless networks imp... more Device-to-Device (D2D) communication as a promising part of next generation wireless networks improves network performance by enabling direct communication between nearby mobile devices. However, as an underlay to cellular network, the resulting co-channel interference degrades the system performance, if available resources are not adequately allocated for D2D pairs. In this paper, we formally state the uplink resource allocation problem of maximizing system sum-rate while taking the signal-to-interference-plus-noise ratio (SINR) constraints into account for each user. A centralized scheme is proposed in which in contrast to existing works a D2D user equipment (DUE) is allowed to reuse resources of more than one cellular user equipment (CUE), and a resource of CUE is allowed to be shared by multiple DUEs. According to this approach, both CUEs and DUEs make probabilistic resource sharing decisions by taking advantage of a concept namely, Adaptive Interference Restricted Region (AIRR). Simulation results show that our proposed approach, exhibits a near-optimal sum-rate, and outperforms existing related schemes.
21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2010
We propose a scheme for maintaining the requested SIR of each user under uncertainty of system pa... more We propose a scheme for maintaining the requested SIR of each user under uncertainty of system parameters in the power control of interference limited wireless networks. In doing so, we keep the outage probability of users below their predefined threshold with minimal power consumption. To reduce the complexity, we apply the notion of chance constraint robust optimization to the outage probability. This approach preserves the convexity of the problem and maintains its tractability. For solving the reformulated problem, a distributed probabilistic robust power algorithm is developed based on the standard interference function and local convergence, which utilizes infrequent message passing. We derive the conditions for the convergence of our algorithm, and prove the optimality of the equilibrium.
Uploads
Papers by Mehdi Rasti