Game Theory Based Radio Resource Allocation for Full-Duplex Systems

Al-Imari, Mohammed; Ghoraishi, Mir; Xiao, Pei; Tafazolli, Rahim

doi:10.1109/vtcspring.2015.7145850

Cited by 32 publications

(19 citation statements)

References 11 publications

(3 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Game theory has been used to study FD wireless networks [22][23][24][25][26]. In [22], the authors discussed several game theoretic models, including evolutionary games used for adaptive mode switching problems, auction-based models used for power allocation problems, and matching theory used for subcarrier allocation.…”

Section: Related Workmentioning

confidence: 99%

Full-Duplex or Half-Duplex: A Bayesian Game for Wireless Networks with Heterogeneous Self-Interference Cancellation Capabilities

Afifi

Abdel-Rahman

Krunz

et al. 2018

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

Recently, tremendous progress has been made in self-interference cancellation (SIC) techniques that enable a wireless device to transmit and receive data simultaneously on the same frequency channel, a.k.a. in-band full-duplex (FD). Although operating in FD mode significantly improves the throughput of a single wireless link, it doubles the number of concurrent transmissions, which limits the potential for coexistence between multiple FD-enabled links. In this paper, we consider the coexistence problem of concurrent transmissions between multiple FD-enabled links with different SIC capabilities; each link can operate in either FD or half-duplex mode. First, we consider two links and formulate the interactions between them as a Bayesian game. In this game, each link tries to maximize its throughput while minimizing the transmission power cost. We derive a closed-form expression for the Bayesian Nash equilibrium and determine the conditions under which no outage occurs at either link. Then, we study the coexistence problem between more than two links, assuming that each link is only affected by its dominant interfering link. We show that under this assumption no more than two links will be involved in a single game. Finally, we corroborate our analytical findings via extensive simulations and numerical results.Index Terms-In-band full-duplex, self-interference cancellation, coexistence, Bayesian game, full-duplex wireless networks. ! W. Afifi and M. Krunz are with the

show abstract

Section: Related Workmentioning

confidence: 99%

Full-Duplex or Half-Duplex: A Bayesian Game for Wireless Networks with Heterogeneous Self-Interference Cancellation Capabilities

Afifi

Abdel-Rahman

Krunz

et al. 2018

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

show abstract

“…Our previous work [14] introduced a single cell hybrid scheduler without transmission power optimization. Other techniques for resource allocation in a FD single cell case using matching theory, a cell partitioning method, and game theory can be found in [22], [23], and [24], respectively. However all these proposed methods for single FD cell cannot be directly applied to resource allocation in a multi-cell scenario.…”

Section: A Related Workmentioning

confidence: 99%

“…GP cannot be applied directly to the objective function given in (24), so we first convert our objective function into a weighted sum rate maximization using the following approximation. In (24), for the weight terms, let us consider w j,ψ d j , which is given by (13). Since we set β very close to one, and moreover, if we assume that the value of the instantaneous rate, R d j,ψ d j , will be of the same order as the average rate, R d j,ψ d j , then the term…”

Section: B Inter-cell Coordinationmentioning

confidence: 99%

User Selection and Power Allocation in Full-Duplex Multicell Networks

Goyal

Liu

Panwar

2017

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Abstract-Full duplex (FD) communications has the potential to double the capacity of a half duplex (HD) system at the link level. However, in a cellular network, FD operation is not a straightforward extension of half duplex operations. The increased interference due to a large number of simultaneous transmissions in FD operation and realtime traffic conditions limits the capacity improvement. Realizing the potential of FD requires careful coordination of resource allocation among the cells as well as within the cell. In this paper, we propose a distributed resource allocation, i.e., joint user selection and power allocation for a FD multi-cell system, assuming FD base stations (BSs) and HD user equipment (UEs). Due to the complexity of finding the globally optimum solution, a sub-optimal solution for UE selection, and a novel geometric programming based solution for power allocation, are proposed. The proposed distributed approach converges quickly and performs almost as well as a centralized solution, but with much lower signaling overhead. It provides a hybrid scheduling policy which allows FD operations whenever it is advantageous, but otherwise defaults to HD operation. We focus on small cell systems because they are more suitable for FD operation, given practical self-interference cancellation limits. With practical self-interference cancellation, it is shown that the proposed hybrid FD system achieves nearly two times throughput improvement for an indoor multi-cell scenario, and about 65% improvement for an outdoor multi-cell scenario compared to the HD system.

show abstract

“…Some initial studies were conducted to examine various resource allocation-related problems in FD cellular networks [11][12][13]. Resource block (RB) allocation was considered in [11] for an FD cellular network, and interference between users was reduced as a result.…”

Section: Introductionmentioning

confidence: 99%

“…Resource block (RB) allocation was considered in [11] for an FD cellular network, and interference between users was reduced as a result. In [12], a two-user FD cellular network was considered and a noncooperative game was proposed for radio resource allocation in such networks. In [13], a power efficient resource allocation algorithm was designed to achieve total transmit power minimization in an FD cellular network.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of User Pairing Algorithm in Full-Duplex Cellular Networks

Noh

Shin

Choi

2017

Mobile Information Systems

View full text Add to dashboard Cite

In a full duplexing (FD) wireless cellular network, a base station operates in FD mode, while the downlink (DL) and uplink (UL) users operate in half duplexing (HD) mode. Thus, the downlink and uplink transmissions occur simultaneously so that interuser interference from a UL to a DL user occurs. In an FD network, the main challenge to minimize the interuser interference is user pairing, which determines a pair of DL and UL users who use the same radio resource simultaneously. We formulate a nonconvex optimization problem for user pairing to maximize the cell throughput. Then, we propose a heuristic user pairing algorithm with low complexity. This algorithm is designed such that the DL user having a better signal quality has higher priority to choose its paired UL user for throughput maximization. Thereafter, we conduct theoretical performance analysis of the FD cellular system based on stochastic geometry and analyze the impact of the user paring algorithm on the performance of the FD cellular system. Results show that the FD system that uses the proposed user pairing algorithm effectively reduces the interuser interference and approaches optimal performance. It also considerably outperforms the FD system using a random user pairing and almost doubles the conventional HD system in terms of cell throughput.

show abstract

Game Theory Based Radio Resource Allocation for Full-Duplex Systems

Cited by 32 publications

References 11 publications

Full-Duplex or Half-Duplex: A Bayesian Game for Wireless Networks with Heterogeneous Self-Interference Cancellation Capabilities

Full-Duplex or Half-Duplex: A Bayesian Game for Wireless Networks with Heterogeneous Self-Interference Cancellation Capabilities

User Selection and Power Allocation in Full-Duplex Multicell Networks

Performance Analysis of User Pairing Algorithm in Full-Duplex Cellular Networks

Contact Info

Product

Resources

About