MC-CDMA based IEEE 802.11 wireless LAN

Orfanos, G.; Habetha, Jörg; Liu, Ling

doi:10.1109/mascot.2004.1348295

Cited by 17 publications

(24 citation statements)

References 7 publications

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“…Furthermore, because 0 > 1 , it is clear that always we have R * 0 ≤ R * 1 , which validates Theorem 2. In Figure 5, the number of active users in class-1 is increased Copyright by increasing p (1) to 0.9. Consequently, class-0 users will no longer be able to increase their overlapping coefficient after M = 10 due to their high QoS requirements.…”

Section: Numerical Resultsmentioning

confidence: 98%

“…In Figures 6 and 7, the optimal power is presented as M varies for p (1) = 0.1 and p (1) = 0.9, respectively. Note that when p (1) is small, the OCPM algorithm allocates more power for the stations as M increases. When the number of active stations becomes 10, the allocated power for class-0 users reaches its maximum allowable value P max = 5 dBm.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Note that for every value of p (1) , there is a value of the number of active stations that maximise the normalised network throughput. It is important to note that when p (1) is small, the maximum throughput is achieved when M is very high. This happens because when p (1) is small, both classes transmit at rates higher than the nominal one.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Code division multiple access (CDMA) has received considerable attention as a multiple access scheme for wireless local area networks (WLAN) [1,2]. In addition, heterogeneous services, entailing multirate transmission, are now feasible due to the rapid evolution of technology that offers a wide bandwidth capable of handling these multirate transmissions and fulfilling good quality of service (QoS) requirements.…”

Section: Introductionmentioning

confidence: 99%

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A multiservice WLAN using a radio resource scheduler

Inaty

2009

Trans Emerging Tel Tech

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SUMMARYIn this paper we consider the problem of resource allocation in a multiservice wireless local area network (WLAN) using overlapped code division multiple access (OV-CDMA) and via a centralised radio resource scheduler (RRS). A joint overlap control and power management (OCPM) algorithm is provided via the solution of a constrained convex quadratic optimisation problem. A closed form solution of the optimisation problem is presented. It is shown that the proposed OCPM resource allocation scheme is simple to implement in WLANs. Results are presented showing a total agreement between the analytical and the numerical results. In addition, it is shown that the solution of this problem maximises the aggregate throughput subject to peak transmission power constraints.

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Section: Numerical Resultsmentioning

confidence: 98%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A multiservice WLAN using a radio resource scheduler

Inaty

2009

Trans Emerging Tel Tech

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“…However, this method needs more computational times and can not guarantee quality of service (QoS) in wireless network. Some MAC layer designs, such as the modified multicarrier CDMA based on IEEE 802.11a [9], CDMA based ad hoc network [10] and adaptive acquisition collision avoidance multiple access (AACAMA) [11], just give the way to get spreading codes and cannot limit the number of the used spreading codes to suppress MAI. They also can not guarantee QoS in wireless network.…”

Section: Introductionmentioning

confidence: 99%

A Cross Layer Time Slot Reservation Protocol for Wireless Networks

Lee¹,

Wong²,

Chien³

Embedded and Ubiquitous Computing

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Abstract. The function of medium access control (MAC) protocol and the capacity of physical layer sufficiently affect the system performance in the wireless networks. In this research, we propose a MAC protocol based on direct sequence code division multiple access (DS-CDMA) for the wireless networks to guarantee quality-of-service (QoS) which depend on physical layer information, named the cross layer time slot reservation (CLTSR) protocol. A channel is divided into control and data channels to transmit control and data packets in the corresponding control and data frames, respectively. The data frame is further subdivided into several time slots; each time slot can transmit different traffic types such as constant bit rate (CBR), variable bit rate (VBR), and available bit rate (ABR). Each station maintains the available spreading code (ASC) table to understand which time slots and spreading codes have been reserved. CLTSR will allocate time slots and the spreading code for the data frame by using the fixed time slot allocation (FTSA) or the mixed time slot allocation (MTSA). The QoS can be guaranteed by providing the reservation of time slots and the spreading code. A Markov model is applied to analyze the CLTSR DS-CDMA system; the analytical and simulation results show that the proposed CLTSR performs has been improved.

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