Joint Subcarrier and Power Allocation for Sum-Rate Maximization in OFDMA Full-Duplex Systems

Cırık, Ali Çağatay; Rikkinen, Kari

doi:10.1109/vtcspring.2015.7145905

Cited by 25 publications

(21 citation statements)

References 26 publications

(27 reference statements)

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“…The power amplifier efficiency of the BS and UEs are set as BS = 30% and n = 20% (as in [32] and [33]), respectively. We set the maximum transmit power of the BS and UEs as P BS = 42 dBm and P n = 23 dBm, similar to [8], [17] and [33]. Parameters of the SIC constant for the BS and UEs are set as δ BS = −100 dB and δ n = −70 dB, as in [13], [34], [35] and [36].…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The minimum data rate requirement in UL and DL for the nth UE are set as R u n = R d n = 2 bps/Hz. Other parameters such as the noise power and the sub-carrier bandwidth are set as −120 dBm and 180 KHz, similar to [9], [17], [21] and [38]. The default values of all parameters used in the simulations are summarized in Table II.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In [15] and [16], resource allocation schemes are proposed for a relay assisted OFDMA DL cellular network in which the relays are IBFD-capable. In [17]- [21], resource allocation schemes are proposed for both the UL and DL of OFDMA networks with IBFD capability. A joint power control and sub-carrier assignment algorithm is proposed in [17] for the system sumrate maximization subject to the maximum transmit power and sub-carrier assignment constraints.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Energy Efficiency Maximization via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks

Aslani

Rasti

Khalili

2019

IEEE Trans. Veh. Technol.

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In this paper, we develop an energy efficient resource allocation scheme for orthogonal frequency division multiple access (OFDMA) networks with in-band full-duplex (IBFD) communication between the base station and user equipments (UEs) considering a realistic self-interference (SI) model. Our primary aim is to maximize the system energy efficiency (EE) through a joint power control and sub-carrier assignment in both the downlink (DL) and uplink (UL), where the quality of service requirements of the UEs in DL and UL are guaranteed. The formulated problem is non-convex due to the non-linear fractional objective function and the non-convex feasible set which is generally intractable. In order to handle this difficulty, we first use fractional programming to transform the fractional objective function to the subtractive form. Then, by employing Dinkelbach method, we propose an iterative algorithm in which an inner problem is solved in each iteration. Applying majorization-minimization approximation, we make the inner problem convex. Also, by introducing a penalty function to handle integer sub-carrier assignment variables, we propose an iterative algorithm for addressing the inner problem. We show that our proposed algorithm converges to the locally optimal solution which is also demonstrated by our simulation results. In addition, simulation results show that by applying the IBFD capability in OFDMA networks with efficient SI cancellation techniques, our proposed resource allocation algorithm attains a 75% increase in the EE as compared to the half-duplex system. . His research interests include convex and non-convex optimization, resource allocation in wireless communication, Green communication, and mobile edge computing.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficiency Maximization via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks

Aslani

Rasti

Khalili

2019

IEEE Trans. Veh. Technol.

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“…If the residual self-interference is not well managed, it can still prevent us from exploiting the benefits of FD systems. 5 Note that (12) is approximated under κ 1 and β 1, which is a practical assumption [16], [17]. Therefore, the terms including the multiplication of κ and β are negligible, and have been ignored in the approximation.…”

Section: (A)mentioning

confidence: 99%

“…In addition to relay nodes, small cells which extend the service coverage and/or increase network capacity can be deployed in the FD mode due to low transmit powers, short transmission distances and low mobility. A small cell network where a FD base station (BS) serves multiple uplink (UL) and downlink (DL) users operating in the HD mode has been considered in [2]- [5]. Moreover, cognitive radios, which substantially increase spectrum utilization efficiency by allowing unlicensed users to share the spectrum with licensed users, can be deployed in the FD mode.…”

mentioning

confidence: 99%

MSE-Based Transceiver Designs for Full-Duplex MIMO Cognitive Radios

Cırık

Wang

Rong

et al. 2015

IEEE Trans. Commun.

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Abstract-We study two scenarios of full-duplex (FD) multipleinput-multiple-output cognitive radio networks: FD cognitive ad hoc networks and FD cognitive cellular networks. In FD cognitive ad hoc networks (also referred as interference channels), each pair of secondary users (SUs) operate in FD mode and communicate with each other within the service range of primary users (PUs). Each SU experiences not only self-interference but also interuser interference from all other SUs, and all SUs generate interference on PUs. We address two optimization problems: one is to minimize the sum of mean-squared errors (MSE) of all estimated symbols, and the other is to minimize the maximum per-SU MSE of estimated symbols, both of which are subject to power constraints at SUs and interference constraints projected to each PU. We show that these problems can be cast as a second-order cone programming, and joint design of transceiver matrices can be obtained through an iterative algorithm. Moreover, we show that the proposed algorithm is not only applicable to interference channels but also to FD cellular systems, in which a base station operating in FD mode simultaneously serves multiple uplink and downlink users, and it is shown to outperform HD scheme significantly.

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Joint subchannel assignment and power control in OFDMA in‐band full‐duplex heterogeneous networks

Rajabi

Rasti

Pedram

et al. 2020

Trans Emerging Tel Tech

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Among the emerging technologies for the fifth‐generation (5G) cellular networks, in‐band full‐duplex (FD) wireless communication and heterogeneous networks (HetNets) are two promising technologies, which can significantly improve the network capacity. Due to self‐interference (SI) and multiple sources of intercell interference, base station (BS)‐BS interference and user equipment (UE)‐UE interference in FD HetNets, interference management is a significant and challenging issue in such a network. To this end, in this article, we study the joint subchannel assignment and power control problem in the OFDMA FD HetNet. The joint subchannel assignment and power control problem in this network is formulated as an optimization problem to maximize the uplink and downlink sum throughput of the femtocell user equipments (FUEs) taking into account the maximum interference constraint imposed on the macrocell user equipments (MUEs) and the minimum throughput constraint of FUEs. Since the formulated problem is a nonconvex and intractable mixed integer nonlinear programming (MINLP) problem, we invoke variable change and linear approximation to reformulate and convert the problem into a tractable mixed‐integer linear programming (MILP) problem. Numerical results show that the optimal solution of the new MILP problem is very close to the optimal objective value of the original MINLP problem. The results also demonstrate that in an OFDMA FD HetNet, when all the UEs and the BSs are FD, approximately 50% improvement in the network throughputcan be achieved compared with a half‐duplex HetNet.

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Joint Subcarrier and Power Allocation for Sum-Rate Maximization in OFDMA Full-Duplex Systems

Cited by 25 publications

References 26 publications

Energy Efficiency Maximization via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks

Energy Efficiency Maximization via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks

MSE-Based Transceiver Designs for Full-Duplex MIMO Cognitive Radios

Joint subchannel assignment and power control in OFDMA in‐band full‐duplex heterogeneous networks

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