102 research outputs found
Asymptotic Close To Optimal Joint Resource Allocation and Power Control in the Uplink of Two-cell Networks
In this paper, we investigate joint resource allocation and power control
mechanisms for two-cell networks, where each cell has some sub-channels which
should be allocated to some users. The main goal persuaded in the current work
is finding the best power and sub-channel assignment strategies so that the
associated sum-rate of network is maximized, while a minimum rate constraint is
maintained by each user. The underlying optimization problem is a highly
non-convex mixed integer and non-linear problem which does not yield a trivial
solution. In this regard, to tackle the problem, using an approximate function
which is quite tight at moderate to high signal to interference plus noise
ratio (SINR) region, the problem is divided into two disjoint sub-channel
assignment and power allocation problems. It is shown that having fixed the
allocated power of each user, the subchannel assignment can be thought as a
well-known assignment problem which can be effectively solved using the
so-called Hungarian method. Then, the power allocation is analytically derived.
Furthermore, it is shown that the power can be chosen from two extremal points
of the maximum available power or the minimum power satisfying the rate
constraint. Numerical results demonstrate the superiority of the proposed
approach over the random selection strategy as well as the method proposed in
[3] which is regarded as the best known method addressed in the literature
Energy-efficient non-orthogonal multiple access for wireless communication system
Non-orthogonal multiple access (NOMA) has been recognized as a potential solution for enhancing the throughput of next-generation wireless communications. NOMA is a potential option for 5G networks due to its superiority in providing better spectrum efficiency (SE) compared to orthogonal multiple access (OMA). From the perspective of green communication, energy efficiency (EE) has become a new performance indicator. A systematic literature review is conducted to investigate the available energy efficient approach researchers have employed in NOMA. We identified 19 subcategories related to EE in NOMA out of 108 publications where 92 publications are from the IEEE website. To help the reader comprehend, a summary for each category is explained and elaborated in detail. From the literature review, it had been observed that NOMA can enhance the EE of wireless communication systems. At the end of this survey, future research particularly in machine learning algorithms such as reinforcement learning (RL) and deep reinforcement learning (DRL) for NOMA are also discussed
Resource Allocation in Heterogenous Full-duplex OFDMA Networks: Design and Analysis
Recent studies indicate the feasibility of full-duplex (FD) bidirectional wireless communications. Due to its potential to increase the capacity, analyzing the performance of a cellular network that contains full-duplex devices is crucial. In this paper, we consider maximizing the weighted sum-rate of downlink and uplink of an FD heterogeneous OFDMA network where each cell consists of an imperfect FD base-station (BS) and a mixture of half-duplex and imperfect full-duplex mobile users. To this end, first, the joint problem of sub-channel assignment and power allocation for a single cell network is investigated. Then, the proposed algorithms are extended for solving the optimization problem for an FD heterogeneous network in which intra-cell and inter-cell interferences are taken into account. Simulation results demonstrate that in a single cell network, when all the users and the BSs are perfect FD nodes, the network throughput could be doubled. Otherwise, the performance improvement is limited by the inter-cell interference, inter-node interference, and self-interference. We also investigate the effect of the percentage of FD users on the network performance in both indoor and outdoor scenarios, and analyze the effect of the self-interference cancellation capability of the FD nodes on the network performance
Resource Allocation in Heterogenous Full-duplex OFDMA Networks: Design and Analysis
Recent studies indicate the feasibility of full-duplex (FD) bidirectional
wireless communications. Due to its potential to increase the capacity,
analyzing the performance of a cellular network that contains full-duplex
devices is crucial. In this paper, we consider maximizing the weighted sum-rate
of downlink and uplink of an FD heterogeneous OFDMA network where each cell
consists of an imperfect FD base-station (BS) and a mixture of half-duplex and
imperfect full-duplex mobile users. To this end, first, the joint problem of
sub-channel assignment and power allocation for a single cell network is
investigated. Then, the proposed algorithms are extended for solving the
optimization problem for an FD heterogeneous network in which intra-cell and
inter-cell interferences are taken into account. Simulation results demonstrate
that in a single cell network, when all the users and the BSs are perfect FD
nodes, the network throughput could be doubled. Otherwise, the performance
improvement is limited by the inter-cell interference, inter-node interference,
and self-interference. We also investigate the effect of the percentage of FD
users on the network performance in both indoor and outdoor scenarios, and
analyze the effect of the self-interference cancellation capability of the FD
nodes on the network performance.Comment: arXiv admin note: text overlap with arXiv:1605.0194
Joint UL/DL Resource Allocation for UAV-Aided Full-Duplex NOMA Communications
This paper proposes an unmanned aerial vehicle (UAV)-aided full-duplex non-orthogonal multiple access (FD-NOMA) method to improve spectrum efficiency. Here, UAV is utilized to partially relay uplink data and achieve channel differentiation. Successive interference cancellation algorithm is used to eliminate the interference from different directions in FD-NOMA systems. Firstly, a joint optimization problem is formulated for the uplink and downlink resource allocation of transceivers and UAV relay. The receiver determination is performed using an access-priority method. Based on the results of the receiver determination, the initial power of ground users (GUs), UAV, and base station is calculated. According to the minimum sum of the uplink transmission power, the Hungarian algorithm is utilized to pair the users. Secondly, the subchannels are assigned to the paired GUs and the UAV by a message-passing algorithm. Finally, the transmission power of the GUs and the UAV is jointly fine-tuned using the proposed access control methods. Simulation results confirm that the proposed method achieves higher performance than state-of-the-art orthogonal frequency division multiple-access method in terms of spectrum efficiency, energy efficiency, and access ratio of the ground users
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