Macrodiversity power control in hierarchical CDMA cellular systems

Kim, J.Y.; Stuber, G.L.; Akyildiz, Ian F.

doi:10.1109/vetecf.1999.797372

Cited by 11 publications

(10 citation statements)

References 18 publications

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“…is simply summed up to obtain the final SINR metric. There are a few more contributions where similar metrics are used for managing interference through power control [25], [26]. The performance metrics which we discuss here are sensible choices but appear insufficient to capture the performance accurately (see Fig.…”

Section: A Review Of Existing Performance Metricsmentioning

confidence: 99%

Overcoming Large-Scale Fading in Cellular Systems With Network Coordination

Haas

2014

IEEE Trans. Commun.

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The cellular systems with network coordination are known for increasing the cell edge user throughput by processing signals captured by geographically distributed base stations coherently. This concept is also known as macrodiversity or coordinated multipoint (CoMP) in the literature. It is now well known that large-scale fading has a significant influence on the link-level performance of users in multiuser (MU) multicell systems. In this paper, we investigate a channel distribution information (CDI)-based MU multiple-input-multiple-output (MIMO) power control problem in the uplink with joint processing to overcome the large-scale fading in macrodiversity systems. There are many power control algorithms for different variants of this problem, but the CDI-based problem in MU scenario has not been well addressed in the literature. Perhaps, the lack of understanding of the performance of macrodiversity MU systems, in terms of CDI, may have prohibited advanced power control solutions. Despite such analytical difficulties, we propose a simple algorithm for this uplink power control problem, and its accuracy is proved using Monte Carlo simulation.Index Terms-Power control, CoMP, uplink, network MIMO, CDI, CSI, large scale fading, symbol error rates.

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Section: A Review Of Existing Performance Metricsmentioning

confidence: 99%

Overcoming Large-Scale Fading in Cellular Systems With Network Coordination

Haas

2014

IEEE Trans. Commun.

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“…Most of the work found in the literature on this topic [1]- [11], [15], [17]- [20] has been restricted to quasi-static channel models, i.e., models in which the channel gain of every user is assumed to remain approximately constant over sufficiently long periods of time. The performance results obtained under this assumption will be valid so long as the reaction time of the power control algorithm is small compared with the coherence time of the underlying wireless channel.…”

Section: Introductionmentioning

confidence: 99%

“…Under , , the Chebyshev inequality asserts that (19) Consequently, for policy with , we obtain given given where follows from (18), under the assumption that , and follows from (19). Thus, for , the optimal cost function satisfies (20) Next, we construct a single-user policy such that . Fix integer with .…”

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confidence: 99%

Decentralized dynamic power control for cellular CDMA systems

Chamberland

Veeravalli

2003

IEEE Trans. Wireless Commun.

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The control of transmit power has been recognized as an essential requirement in the design of cellular code-division multiple-access (CDMA) systems. Indeed, power control allows for mobile users to share radio resources equitably and efficiently in a multicell environment. Much of the work on power control for CDMA systems found in the literature assumes a quasi-static channel model, i.e., the channel gains of the users are assumed to be constant over a sufficiently long period of time for the control algorithm to converge. In this paper, the design of dynamic power control algorithms for CDMA systems is considered without the quasi-static channel restriction. The design problem is posed as a tradeoff between the desire for users to maximize their individual quality of service and the need to minimize interference to other users. The dynamic nature of the wireless channel for mobile users is incorporated in the problem definition. Based on a cost minimization framework, an optimal multiuser solution is derived. The multiuser solution is shown to decouple, and effectively converge, to a single-user solution in the large system asymptote, where the number of users and the spreading factor both go to infinity with their ratio kept constant. In a numerical study, the performance of a simple threshold policy is shown to be near that of the optimal single-user policy. This offers support to the threshold decision rules that are employed in current cellular CDMA systems.

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“…Meanwhile, large cell systems (macrocells) avoid the need for frequent cell boundary crossings (handovers) to serve high mobility mobile users [1] [2]. Recently, many studies have addressed handover [3] [4], power control [5], call admission control [6], cell site deployments [7], cell boundary [8][9][10][11], and related issues for hierarchical CDMA cellular systems which involve multiple layers of microcells and macrocells. However, most discussion has focused on the reverse link (mobile users to cell site) and uniform traffic distribution.…”

Section: Introductionmentioning

confidence: 99%

“…However, most discussion has focused on the reverse link (mobile users to cell site) and uniform traffic distribution. In [11], for the reverse link, hierarchical maximal ratio combining (HMRC) is applied where the signal transmitted from each mobile user is received and coherently combined by base stations of both layers. With macrodiversity, it is concluded that the HMRC performance for the reverse link is a function of the overall system load and does not depend on either the microcell location or the cell sizes.…”

Section: Introductionmentioning

confidence: 99%

Microcell-adjusting for hierarchical cellular systems with non-uniformly distributed teletraffic

Tsai

2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003.

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Hierarchical cellular systems are usually adopted in the non-uniform traffic environment, especially when hot spots exist. Considering the spatial fluctuation of traffic load, three schemes to adjust the coverage area of a microcell, namely ATP (adjusting total transmission power of the microcell base station), ARP (adjusting the ratio of pilot signal power to the total transmission power), and ABP (adjusting both of them), are mathematically analyzed in this paper. The system performances of these schemes are also shown by the numerical examples.

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Macrodiversity power control in hierarchical CDMA cellular systems

Cited by 11 publications

References 18 publications

Overcoming Large-Scale Fading in Cellular Systems With Network Coordination

Overcoming Large-Scale Fading in Cellular Systems With Network Coordination

Decentralized dynamic power control for cellular CDMA systems

Microcell-adjusting for hierarchical cellular systems with non-uniformly distributed teletraffic

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