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1992, Vehicular Technology Conference, …
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6 pages
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The architecture and dynamics of a code-vision multiaccess (CDMA) cellular radio network are discussed. The network's layout, power control equation, cell coverage, signal quality, cell radio design, and heterogeneous cell clustering are described. It is shown that ...
EURASIP Journal on Wireless Communications and Networking, 2008
The aim of this paper is to perform an overall comparison of different network layouts for CDMA-based cellular radio access. Cellular network layout, including base station site locations and theoretical azimuth directions of antennas, can be defined by tessellations in order to achieve a continuous coverage of the radio network. Different tessellation types-triangle, square, and hexagon-result in different carrier-to-interference scenarios, and thus will provide nonequal system-level performance. This performance of a cellular network is strongly related to configuration parameters as base station antenna height, beamwidth, and sectoring. In this paper, a theoretical model is defined for the assessment, which includes numerical analysis and system-level simulations. A numerical analysis was performed first, and then system-level Monte-Carlo simulations were conducted to verify and to extend numerical results. The obtained results of the numerical analysis indicate that a hexagonal "clover-leaf " layout is superior, but the results of system-level simulation give similar performance for the triangular and square layouts. These results indicate also the importance of the antenna height optimization for all layouts. Moreover, the simulation results also pointed out that 6-sector configuration is superior both in coverage and in capacity compared to nominal 3-sector configuration that is typically preferred in coverage-related network deployments in practice.
IEEE Transactions on Communications, 2002
In this paper, the minimal base-station density for a code-division multiple-access (CDMA) cellular radio network is determined such that the outage probability does not exceed a certain threshold. Base stations are assumed to be located on a regular triangular grid of minimum distance , while mobiles are randomly distributed according to a two-dimensional Poisson point pattern. Each mobile may be connected to, at most, one of four surrounding base stations, effectively connecting and applying power control to the one with least attenuation. Thus, we model the use of macroscopic selection diversity. We obtain a normal approximation to the total interference power at a reference base station for a correlated log-normal shadowing law. The base station distance we obtain is proportional to the inverse of the square root of the traffic intensity, and we obtain the constant of proportionality, which is itself a function of the minimum acceptable carrier-to-interference (C/I) ratio and the maximum tolerable outage probability. Our formula for this distance can be used in network planning and design.
1994
A radio planning methodology for IS-95 based CDMA networks is presented. Inherent to the planning methodology i s a comprehensive performance characterization of both the forward and reverse links over a wide array of channel conditions. I n addition, the link margin requirements under log-normal shadowing are addressed. Effects due to loading, Erlang variations and voice activity, soft and softer handoff status, forward power allocation and closed loop power control are incorporated into the network modeling. The output of the planning process are CDMA specific performance maps detailing forward and reverse link coverage and availability, interference margins and handoff regions. In addition, cell site specific data is derived including forward and reverse cell/sector loading, forward link power requirements and soft handoff overhead requirements.
IEEE Transactions on Communications, 2004
Accurate power control is an essential requirement in the design of cellular code-division multiple-access (CDMA) systems. In this paper, we contribute three main themes to the power control problem. First, we derive an efficient algorithm for computing minimal power levels for large-scale networks within seconds. Nice and intuitive conditions for the existence of feasible power solutions follow from this approach. Second, we define the capacity region of a network by the set of effective spreading gains, or data rates, respectively, which can be supplied by the network. This is achieved by bounding the spectral radius of a certain matrix containing system parameters and mutual transmission gain information. It is shown that the capacity region is a convex set. Finally, we reveal an interesting duality between the uplink and downlink capacity region. In a clear-cut analytical way, it substantiates the fact that the uplink is the more restricting factor in cellular radio networks. The same methods carry over to certain models of soft handover. In the case that the channel gains are subject to log-normal shadowing, we introduce the concept of level-capacity regions. Despite the complicated structure, it can still be shown that this set is sandwiched by two convex sets coming arbitrarily close as variance decreases.
IEEE Journal on Selected Areas in Communications, 2001
Hierarchical code division multiple access (CDMA) cellular systems, consisting of macrocells with underlying microcells, are studied. We seek power control schemes which will allow both hierarchical layers to share the same spectrum. For the reverse link, hierarchical maximal ratio combining (HMRC) is applied where each mobile station (MS) is received and coherently combined by base stations (BSs) in both layers. For the forward link, selective transmit diversity (STD) is applied where each BS provides multiple transmit paths for MSs to choose. We show that both HMRC and STD are effective in hierarchical CDMA architectures. We conclude that hierarchical architectures are a viable solution for improving CDMA cellular system capacity, and a significant performance gain can be achieved without assigning disjoint spectrum between the layers, by utilizing macrodiversity schemes such as HMRC and STD.
Wireless Personal Communications, 2000
In the design of cells in mobile communication systems, path loss prediction models play an important role and have been the subject of the study for some time (M.F. Ibrahim and J.D. Parsons, IEE Proceedings, Vol. 130, No. 5, 1983). This paper presents the analysis of two main factors that affect the capacity bounds in a UMTS cell for different propagation models. These are the (i) interference levels at Node B, which increases with the number of active users, and (ii) the limited sending power of the user equipment (UE) which may not be able to send signals with enough power to reach Node B with the required received power level due to path loss. The aim of this paper is to analyse the capacity/coverage of the uplink of UMTS system in different propagation environments (free space, suburban, urban, dense urban, rural) and derive the capacity bounds for the UMTS cell. The capacity bounds have been extracted based on the extended COST-231 Hata model (http://cost.cordis.lu/src/whatiscost.cfm). COST-231 Hata is an extension of the Okumura-Hata model which covers the higher frequencies (G.L. Stüber, "Principles of Mobile Communications," Kluwer, 1996) necessary for WCDMA. The basic model describes the propagation loss in an urban environment, but a number of correction factors can be applied to extend its application to a broader range of environments. The analysis takes into account a number of capacity influencing factors such as the CDMA code non-orthogonality, the inter-cell interference, imperfect power control, and different service specific factors. The simulation results show the effect of different system and varying environmental parameters upon the system's capacity in different environments. The results clearly demonstrate that it is too optimistic to rely on studies based on free space assumptions.
VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005., 2005
This paper presents a methodology to evaluate the impact of the MC-CDMA physical layer algorithms on the downlink capacity in a multi-cellular environment. It presents a Monte Carlo simulation approach for capacity estimation at the system level and introduces a novel indicator for qualitative capacity evaluation at the link level. An illustration of this methodology shows very good agreement between the link level qualitative and system level quantitative capacity evaluations. The novel capacity indicator is therefore an efficient and accurate tool at the link level for optimizing the MC-CDMA physical layer algorithms and identifying the most appropriate physical layer configurations. On the other hand, the system level quantitative capacity evaluation allows to quantify more precisely the impact of the physical layer algorithms on the system capacity for a given environment.
IEICE Transactions on Communications
The demand for wireless mobile communications has grown at a very high rate, recently. In order to solve the non-uniform traffic rates, the use of cell splits is unavoidable for balancing the traffic rate and maximizing total system capacity. For cell planning, a DS-CDMA cellular system can be comprise of different cell sizes because of different demands and population density of the service area. In this paper, we develop a general model to study the forward link capacity and outage probability of a DS-CDMA cellular system with mixed cell sizes. The analysis of outage probability is carried out using the log-normal approximation. When a macrocell is split into the three microcells, as an example, we calculate the multi-cross interferences between macrocells and microcells, and the forward link capacities for the microcells and the neighboring macrocells. The maximum allowable capacity plane for macrocell and microcell is also investigated. The numerical results and discussions with...
IEEE Transactions on Information Theory, 2005
How can we achieve the conflicting goals of reduced transmission power and increased capacity in a wireless network, without attempting to follow the instantaneous state of a fading channel? In this paper, we address this problem by jointly considering power control and multiuser detection (MUD) with outage-probability constraints in a Rayleigh fast-fading environment. The resulting power-control algorithms (PCAs) utilize the statistics of the channel and operate on a much slower timescale than traditional schemes. We propose an optimal iterative solution that is conceptually simple and finds the minimum sum power of all users while meeting their outage targets. Using a derived bound on outage probability, we introduce a mapping from outage to average signal-to-interference ratio (SIR) constraints. This allows us to propose a suboptimal iterative scheme that is a variation of an existing solution to a joint power control and MUD problem involving SIR constraints. We further use a recent result that transforms complex SIR expressions into a compact and decoupled form, to develop a noniterative and computationally inexpensive PCA for large systems of users. Simulation results are presented showing the closeness of the optimal and mapped schemes, speed of convergence, and performance comparisons. Index Terms-Code division multiple access (CDMA), large system analysis (LSA), multiuser detection (MUD), outage probability, power control, Rayleigh fading.
Personal Wireless Communications, 2000
A cellular environment is considered, based on CDMA. The main goal is to optimize the overall system capacity, in order to equalize and minimize the blocking probability of new calls entering into the system; at the same time, a constraint on the outage probability and, possibly, another one on handoff blocking are enforced. The control is based on the multiple access interference threshold, and the optimization algorithm tries to find the best choice of the admittance thresholds, based on the "a priori" knowledge of the traffic characteristics, and of a mobility model of the users.
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