Two-Cell Downlink Noncoherent Cooperation without Transmitter Phase Alignment

Xu, Mingguang; Guo, Dongning; Honig, Michael L.

doi:10.1109/glocom.2010.5683589

Cited by 8 publications

(4 citation statements)

References 11 publications

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“…Proof: The achievable sum spectral efficiency is obtained, similar to [47], [48], by decoding the Gaussian information sequences from the different BSs in a sequential manner, using conventional successive interference cancellation. Since the users only know the effective channels w H l,vĥ k,v and not the true channels w H l,v h k,v , the channel uncertainty is handled by computing a lower bound on the mutual information, using the approach from [49] where all signals that are uncorrelated with w H k,vĥ k,v s k,v are treated as Gaussian noise (which is the worst case in terms of mutual information).…”

Section: B Aggregated Received Sinrmentioning

confidence: 99%

Joint Precoding and Load Balancing Optimization for Energy-Efficient Heterogeneous Networks

Björnson

Svensson

et al. 2015

IEEE Trans. Wireless Commun.

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Abstract-This paper considers a downlink heterogeneous network, where different types of multiantenna base stations (BSs) communicate with a number of single-antenna users. Multiple BSs can serve the users by spatial multiflow transmission techniques. Assuming imperfect channel state information at both BSs and users, the precoding, load balancing, and BS operation mode are jointly optimized for improving the network energy efficiency. We minimize the weighted total power consumption while satisfying quality-of-service constraints at the users. This problem is nonconvex, but we prove that for each BS mode combination, the considered problem has a hidden convexity structure. Thus, the optimal solution is obtained by an exhaustive search over all possible BS mode combinations. Furthermore, by iterative convex approximations of the nonconvex objective function, a heuristic algorithm is proposed to obtain a suboptimal solution of low complexity. We show that although multicell joint transmission is allowed, in most cases, it is optimal for each user to be served by a single BS. The optimal BS association condition is parameterized, which reveals how it is impacted by different system parameters. Simulation results indicate that putting a BS into sleep mode by proper load balancing is an important solution for energy savings.Index Terms-Energy efficiency, heterogeneous networks, load balancing, precoding design.

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Section: B Aggregated Received Sinrmentioning

confidence: 99%

Joint Precoding and Load Balancing Optimization for Energy-Efficient Heterogeneous Networks

Björnson

Svensson

et al. 2015

IEEE Trans. Wireless Commun.

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“…Noncoherent JT-CoMP is used because it eliminates the process of channel state information (CSI) exchange and its associated overhead. Implementing JT-CoMP without the knowledge of CSI restricts multi-user MIMO communications as well as distributed precoding; however, JT-CoMP can benefit from diversity gain [30][31][32][33]. Also, we have considered round robin scheduling algorithm which is channel independent.…”

Section: System Modelmentioning

confidence: 99%

Joint User-Centric Clustering and Multi-cell Radio Resource Management in Coordinated Multipoint Joint Transmission

Shami

Grace

Burr

et al. 2022

Wireless Pers Commun

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Coordinated multipoint joint transmission (JT-CoMP) is a promising solution to address inter-cell interference in dense future wireless networks due its strength in converting interfering signals into useful signals, thereby enhancing capacity especially at the cell edge. However, allowing all user equipments (UEs) to operate using the JT-CoMP mode reduces the availability of radio resources. This paper develops an efficient algorithm that can identify which UEs will benefit from operating in a JT-CoMP mode and how to efficiently allocate radio resources from multiple base stations. Joint user-centric JT-CoMP clustering and multi-cell resource management is used in two steps where user-centric clusters are constructed as a first step and according to the clustering results obtained, resources are assigned. This paper also provides a new user-centric clustering approach that allows a user to utilize the JT-CoMP technique only if JT-CoMP boosts its rate above a certain threshold level. A multi-cell resource allocation scheme that can address the resource mismatching problem between cooperative BSs that happens due to load imbalance is proposed. Simulation results show that the proposed user-centric clustering algorithm outperforms the traditional power level difference scheme in terms of the system’s overall throughput as well as the throughput of cell-edge users. Also, results show that the performance of JT-CoMP is mainly affected by the user-centric approach and the amount of physical radio resources assigned to CoMP UEs.

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“…To make the problem traceable and to reduce the complexity of algorithm, subcarrier allocation problem and power allocation problem can be decoupled [9]. Here we focus on the subcarrier allocation with equal power allocated, i.e.…”

Section: A Problem Formulationmentioning

confidence: 99%

“…To this end, non-coherent BSC (NC-BSC) is proposed in the present paper which needs neither clock synchronization nor phase alignment. Among the previous works that involved in non-coherent coordination among BS include [9] where the two-cell framework of NC-BSC power allocation problem is investigated, and [10] which deals with the optimal selection of cooperative set of BS with the capacity-fairness tradeoff.…”

Section: Introductionmentioning

confidence: 99%

Subcarrier allocation in multi-cell OFDMA wireless networks with non-coherent base station cooperation and controllable fairness

Han

Soong

Lã

2012

2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)

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In this paper, a non-coherent base station cooperation (NC-BSC) scheme is examined for the downlink OFDMA wireless cellular networks. We formulate the resource allocation in the scheme as a subcarrier allocation optimization problem with equal power allocated on each subcarrier. To balance the tradeoff between system throughput and fairness, a multi-cell scenario controllable fairness is extended from single-cell scenario mentioned in [1], based on which the controllable global fairness (GF) scheme in the NC-BSC system is proposed. Two heuristic iterative algorithms are proposed to realize the subcarrier allocation in the NC-BSC system with and without the controllable fairness in a distributed manner. The performance is compared with traditional dynamic subcarrier allocation in noncooperative multi-cell networks. Simulation results show the performance enhancement through implementation of NC-BSC and the effectiveness of multi-cell controllable fairness in the NC-BSC system.

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Two-Cell Downlink Noncoherent Cooperation without Transmitter Phase Alignment

Cited by 8 publications

References 11 publications

Joint Precoding and Load Balancing Optimization for Energy-Efficient Heterogeneous Networks

Joint Precoding and Load Balancing Optimization for Energy-Efficient Heterogeneous Networks

Joint User-Centric Clustering and Multi-cell Radio Resource Management in Coordinated Multipoint Joint Transmission

Subcarrier allocation in multi-cell OFDMA wireless networks with non-coherent base station cooperation and controllable fairness

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