A Unified Power-Allocation Framework for Bidirectional Cognitive Radio Communication

Jabeen, Tayyaba; Sidhu, Guftaar Ahmad Sardar; Gao, Feifei

doi:10.1109/tvt.2016.2587538

Cited by 12 publications

(5 citation statements)

References 34 publications

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“…It was very interesting to observe the consequences of relay position on the throughput of our designed algorithms, as shown in Figure 4. Similar to [6], it can be noted here as well that our proposed schemes gave their best performance at the point where the relay node was near the center of the source and destination nodes.…”

Section: Xt (Dbm)supporting

confidence: 77%

“…The problem of outage probability and ergodic capacity was studied in energy harvesting relay networks [5]. Under amplify and forward (AF) relaying protocol, the joint power optimization was studied to maximize the throughput of the secondary users [6]. A dual decomposition framework was adopted to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

“…In order to increase the spectrum efficiency with an additional multi-user diversity gain, authors [7] proposed a generalized sub-carrier pairing strategy and a low complexity resource allocation scheme for the decode and forward (DF)-based two-way relay network. For both the AF and the DF-based networks, described in [6,7] respectively, authors assumed that the relay is operating under the conventional protocol (data packets are received from the base station (BS) in one time slot and forwarded to the mobile user (MU) in the next consecutive time slot). A range-division user relay selection strategy was provided to improve the coverage and capacity efficiency of non-orthogonal multiple access (NOMA)-based cooperative networks [8].…”

Section: Introductionmentioning

confidence: 99%

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Joint Power Allocation and Link Selection for Multi-Carrier Buffer Aided Relay Network

et al. 2019

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In this paper, we present a joint power allocation and adaptive link selection protocol for an orthogonal frequency division multiplexing (OFDM)-based network consists of one source node i.e., base station (BS), one destination node i.e., (MU) and a buffer aided decode and forward (DF) relay node. Our objective is to maximize the average throughput of the system via power loading over different subcarriers at source and relay nodes. A separate power budget is assumed at each transmitting node to make the system more practical. In order to form our solution more tractable, a decomposition framework is implemented to solve the mixed integer optimization problem. Further, less complex suboptimal approaches have also been presented and simulation results are provided to endorse the efficiency of our designed algorithms.Buffer aided relaying (BAR) emerged as a new paradigm for the wireless communication systems and has provided freedom to the link selection, i.e., the choice to choose a particular hop for transmission in a given time slot [9]. With this addition, the resource allocation problem becomes more challenging and is coupled with the link selection. The optimization techniques designed for memoryless relaying nodes cannot be applied for BAR transmission. Thus, the problem of power allocation and link selection for the BAR has received significant attention in the research community [10][11][12][13][14][15][16][17][18][19][20]. Considering a full-duplex network, power allocation at the source and relay node was studied in [10]. Authors maximized the source arrival rate under the assumption of imperfect self-interference cancellation and statistical delay constraints. For the underlay cognitive radio network with buffer aided DF relay, an adaptive link selection scheme was presented in [11]. A closed-form expression for the data rate was derived by assuming peak power and interference constraints at the secondary nodes. The authors in [12] considered a system where multiple source nodes are communicating with a single destination through a common BAR. Under the total transmit power constraint at each node, this work presented a link selection and a power allocation strategy.The problem of cross-layer resource allocation considering asymmetric time duration over two hops was investigated in [13]. The work in [14] proposed different BAR schemes under full-duplex (FD) relay transmission with self-interference cancellation (SIC) capability at the relaying node. The results showed the considerable gains of the proposed scheme over the conventional FD relay transmission. Further, the authors in [15] studied the security and the delay issues in the buffer enhanced dual-hop transmission. The relay selection schemes for links with equal weights have recently been explored in [16]. Depending on the status of the buffer at each relaying node, the authors in [17] proposed a max-link selection analysis framework. With the Markov chain approach, analytical expressions for the outage probability, the average bit error rate, a...

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Section: Xt (Dbm)supporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Joint Power Allocation and Link Selection for Multi-Carrier Buffer Aided Relay Network

et al. 2019

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“…In addition, the step size needs to be adjusted according to the actual implement to ensure the power precision. A similar sum rate maximization problem of secondary users was considered in [9] in OFDM based two-way cognitive relaying networks, where a per subcarrier interference constraint was introduced to protect the primary users. A full duplex relaying mode was provided in [10], where a secondary relay established a two-way link for a pair of primary users.…”

Section: Introductionmentioning

confidence: 99%

Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks

Qin

Zhou

2020

Sensors

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This paper investigates two resource allocation problems in cognitive relaying networks where both secondary network and primary network coexist in the same frequency band and adopt orthogonal frequency division multiplexing (OFDM) technology. The first one is the sum rate maximization problem of a secondary network under total power budget of a secondary network and tolerable interference constraint of a primary network. The second one is the sum rate maximization problem of a secondary network under separate power budgets of a secondary network and tolerable interference constraint of a primary network. These two optimization problems are completely different from those in traditional cooperative communication due to interference management constraint condition. A joint optimization algorithm is proposed, where power allocation and subcarrier pairing are decomposed into two subproblems with reasonable cost. The first one is a closed form solution of power allocation of the secondary network while managing the interference to a primary network under a constraint condition. The other is optimal subcarrier pairing at given power allocation. Simulation results reveal aspects of average signal to noise ratio (SNR), interference level, relay position, and power ratio on the sum rate of a secondary network.

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“…Optimum power allocation has been recognized to enhance the performance of wireless communication systems. [13][14][15] For multicarrier transmission, the problem of power allocation becomes more interesting, where different subcarriers undergo independent fading and water-filling-based techniques have been proposed to provide the optimal/near optimal solutions. 16 The power loading can be adopted to achieve various objectives, eg, energy minimization, 17 sum rate maximization, 18 and multiuser fairness.…”

Section: Introductionmentioning

confidence: 99%

On fair power optimization in nonorthogonal multiple access multiuser networks

Ali

Sidhu

Waqas

et al. 2018

Trans Emerging Tel Tech

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Nonorthogonal multiple access (NOMA) has been recognized as a key solution to fulfill the demands of 5G wireless communication. In this paper, our aim is to maximize the fairness in the data rates of different users in a multiuser NOMA system. We optimize the downlink transmission subject to minimum rate requirement of each user, limited power budget at the transmitter, and the successive interference cancelation constraint. First, we solve the problem for two‐user scenario where the nonconvex problem is transformed into a standard convex minimization problem and the duality theory is exploited to find the solution. The optimal power allocation is obtained from the Karush‐Kuhn‐Tucker (KKT) conditions, whereas the dual problem is solved via subgradient algorithm. As a next step, we consider the general multiuser optimization problem where more than two users can share the same channel under NOMA transmission. We design efficient solution techniques to solve the nonconvex optimization problem with sequential quadratic programming (SQP). Furthermore, two suboptimal low complexity solutions are also presented. We found that, under the proposed schemes, the fairness increases with increasing the available transmit power and decreases with the increasing the number of users. We show a complexity comparison of the dual‐based solution and the SQP algorithm. It is observed that power optimization through KKT conditions exhibits much lower computational complexity as compared to the SQP‐based solution.

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A Unified Power-Allocation Framework for Bidirectional Cognitive Radio Communication

Cited by 12 publications

References 34 publications

Joint Power Allocation and Link Selection for Multi-Carrier Buffer Aided Relay Network

Joint Power Allocation and Link Selection for Multi-Carrier Buffer Aided Relay Network

Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks

On fair power optimization in nonorthogonal multiple access multiuser networks

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