• 한국정보통신학회논문지
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• 제19권11호
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• pp.2576-2583
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• 2015

전이중(full-duplex) 셀룰라 네트워크에서 상향링크 사용자는 하향링크 사용자에게 간섭을 유발하므로 같은 무선 자원을 동시에 사용하는 상 하향링크 사용자 쌍을 어떻게 결정하는 지가 시스템 성능에 큰 영향을 미친다. 본 논문에서는 사용자의 서비스의 질을 보장하기 위한 목적으로 아웃티지(outage) 발생의 최소화를 위한 최적화 문제를 제시하고, 낮은 복잡도를 갖는 차선의 사용자 스케쥴링 알고리즘을 제안한다. 제안하는 스케쥴링 방식은 나쁜 신호 품질을 갖는 하향링크 사용자에게 간섭을 덜 미치는 상향링크 사용자를 먼저 선택할 수 있도록 우선권을 주는 방식으로 동작한다. 시뮬레이션 결과 제안하는 사용자 스케쥴링 방식을 사용하는 전이중 시스템은 최적에 가까운 아웃티지 성능을 달성하면서 기존 반이중 모드의 셀룰라 시스템 대비 아웃티지 발생을 현저히 줄인다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권11호
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• pp.3876-3895
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• 2014

Recently, Heterogeneous Network (HetNet) with Coordinated Multi-Point (CoMP) scheme is introduced into Long Term Evolution-Advanced (LTE-A) systems to improve digital services for User Equipments (UEs), especially for cell-edge UEs. However, Radio Resource Management (RRM), including Resource Block (RB) scheduling and Power Allocation (PA), in this scenario becomes challenging, due to the intercell cooperation. In this paper, we investigate the RRM problem for downlink transmission of HetNet system with Joint Processing (JP) CoMP (both joint transmission and dynamic cell selection schemes), aiming at maximizing weighted sum data rate under the constraints of both transmission power and backhaul capacity. First, joint RB scheduling and PA problem is formulated as a constrained Mixed Integer Programming (MIP) which is NP-hard. To simplify the formulation problem, we decompose it into two problems of RB scheduling and PA. For RB scheduling, we propose an algorithm with less computational complexity to achieve a suboptimal solution. Then, according to the obtained scheduling results, we present an iterative Karush-Kuhn-Tucker (KKT) method to solve the PA problem. Extensive simulations are conducted to verify the effectiveness and efficiency of the proposed algorithms. Two kinds of JP CoMP schemes are compared with a non-CoMP greedy scheme (max capacity scheme). Simulation results prove that the CoMP schemes with the proposed RRM algorithms dramatically enhance data rate of cell-edge UEs, thereby improving UEs' fairness of data rate. Also, it is shown that the proposed PA algorithms can decrease power consumption of transmission antennas without loss of transmission performance.

• 한국통신학회논문지
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• 제30권10A호
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• pp.896-905
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• 2005

본 논문에서는 N-채널 SAW(Stop and Wait) ARQ 재전송 기법을 채택하고 있는 HSDPA 시스템에서 HS-DSCH 채널의 성능 향상을 목적으로 선택적 패킷 지연(SPD :Selective Packet Delay) 기법을 제안한다. SPD 기법은 무선 채널 상태에 따라 적응적으로 패킷 전송을 제어하는 방법으로 채널 상태가 나쁜 경우에는 해당 패킷 전송을 일정시간 동안 강제 지연하고 대신에 해당 타임 슬롯을 채널 상태가 양호한 다른 사용자에게 할당해 주는 기법이다. 따라서 제안하는 기법은 버스트 에러 환경에서 연속적인 패킷 손실로 인해 발생하게 되는 긴 재전송 지연을 효과적으로 줄일 수 있는 특징을 가진다. 또한 SPD 기법에 효율적으로 적용될 수 있는 SPD-LDPF(Long Delayed Packet First)와 SPD-DCRR(Deficit Compensated Round Robin)의 두 종류의 패킷 스케줄링 기법을 제안한다. 시뮬레이션 결과, 제안한 기법은 패킷 평균지연 특성, 처리량 성능, 그리고 사용자간 공평성에서 모두 우수한 성능을 보임을 확인하였다.

• Journal of Communications and Networks
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• 제16권1호
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• pp.1-9
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• 2014

Block diagonalization (BD) has been proposed as a simple and effective technique in multiuser multiple-input multiple-output (MU-MIMO) broadcast channels. However, when channel state information (CSI) knowledge is limited at the transmitter, the performance of the BD may be degraded because inter-user interference cannot be completely eliminated. In this paper, we propose an efficient CSI quantization technique for BD precoded systems with limited feedback where users supported by a base station are selected by dynamic scheduling. First, we express the received signal-to-interference-plus-noise ratio (SINR) when multiple data streams are transmitted to the user, and derive a lower bound expression of the expected received SINR at each user. Then, based on this measure, each user determines its quantized CSI feedback information which maximizes the derived expected SINR, which comprises both the channel direction and the amplitude information. From simulations, we confirm that the proposed SINR-based channel quantization scheme achieves a significant sum rate gain over the conventional method in practical MU-MIMO systems.

• Journal of Communications and Networks
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• 제13권3호
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• pp.232-239
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• 2011

This paper investigates the user selection problem of successive zero-forcing precoded multiuser multiple-input multiple-output (MU-MIMO) downlink systems, in which the base station and mobile receivers are equipped with multiple antennas. Assuming full knowledge of the channel state information at the transmitter, dirty paper coding (DPC) is an optimal precoding strategy, but practical implementation is difficult because of its excessive complexity. As a suboptimal DPC solution, successive zero-forcing DPC (SZF-DPC) was recently proposed; it employs partial interference cancellation at the transmitter with dirty paper encoding. Because of a dimensionality constraint, the base station may select a subset of users to serve in order to maximize the total throughput. The exhaustive search algorithm is optimal; however, its computational complexity is prohibitive. In this paper, we develop two low-complexity user scheduling algorithms to maximize the sum rate capacity of MU-MIMO systems with SZF-DPC. Both algorithms add one user at a time. The first algorithm selects the user with the maximum product of the maximum column norm and maximum eigenvalue. The second algorithm selects the user with the maximum product of the minimum column norm and minimum eigenvalue. Simulation results demonstrate that the second algorithm achieves a performance similar to that of a previously proposed capacity-based selection algorithm at a high signal-to-noise (SNR), and the first algorithm achieves performance very similar to that of a capacity-based algorithm at a low SNR, but both do so with much lower complexity.