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System Capacity Evaluation in OBSS Environment at 5 GHz band

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1 System Capacity Evaluation in OBSS Environment at 5 GHz band
Month Year doc.: IEEE yy/xxxxr0 November 2010 System Capacity Evaluation in OBSS Environment at 5 GHz band Date: Authors: T. Murakami et al.,(NTT) John Doe, Some Company

2 Month Year doc.: IEEE yy/xxxxr0 November 2010 Background TGac agreed that inter-cell interference (ICI) in overlapping BSSs (OBSSs) environment is regarded as one of the main topics in coexistence ad-hoc group scope [1], [2]. The number of OBSSs will increase in the future. TGac has already agreed to support 80 / 160MHz modes, which results in decrease the number of available channels [3], [4]. The number of APs and STAs supporting 11ac function will increase. The objective of our research is to discover potential of each bandwidth modes in terms of system capacity on PHY layer against BSS density. T. Murakami et al.,(NTT) John Doe, Some Company

3 OBSS simulation model (1/2)
Month Year doc.: IEEE yy/xxxxr0 November 2010 OBSS simulation model (1/2) We evaluate system capacity per square meter against BSS density to consider influence of ICI. Channelization for Europe and Japan operation in 11ac Communication area Bandwidth mode [MHz] 20 40 80 160 Number of channels 19 9 4 2 Transmit power per subcarrier*[mW] p p/2 p/4 p/8 *Total transmit power is constant BSS Communication area This area is defined by carrier sense level of each bandwidth modes. AP Downlink STA T. Murakami et al.,(NTT) John Doe, Some Company

4 OBSS simulation model (2/2)
Month Year doc.: IEEE yy/xxxxr0 November 2010 OBSS simulation model (2/2) BSS density D is defined by number of BSSs per square meter few many Number of BSSs per square meter Low High BSS density D T. Murakami et al.,(NTT) John Doe, Some Company

5 Simulation process Locate each BSS randomly.
Month Year doc.: IEEE yy/xxxxr0 November 2010 Simulation process Locate each BSS randomly. The number of BSS corresponds to BSS density D. Assign channel number to each BSS at random. All BSSs use common bandwidth mode. Each BSS tries to communicate: If overlapping BSSs exist, only one AP can communicate to its STA. The other APs defer to communicate. Non-overlapping BSSs can communicate at the same time. Calculate capacity of the center BSS. T. Murakami et al.,(NTT) John Doe, Some Company

6 Simulation conditions
Month Year doc.: IEEE yy/xxxxr0 November 2010 Simulation conditions Number of Tx antennas Nt 4 Number of Rx antennas Nr 2 Bandwidth modes 20, 40, 80, 160 [MHz] Transmit power per subcarrier 0, -3, -6, -9 [dBm] BSS density D 1/1000-1/50 [number/m2] MIMO channel model i.i.d. Path loss model IEEE802.11n [5] Distance b/w AP and desired STA 7.8 [m] SNR b/w AP and desired STA for each bandwidth mode [dB] 25 (20 MHz), 22 (40 MHz) 19 (80 MHz), 16 (160 MHz) Carrier sense level [dBm] -82 (20 MHz), -79 (40 MHz) -76 (80 MHz), -73 (160 MHz) Slide 6 T. Murakami et al.,(NTT) John Doe, Some Company

7 Month Year doc.: IEEE yy/xxxxr0 November 2010 Calculation Calculation formula of system capacity per square meter C is as follows: B: bandwidth [MHz] D: BSS density [number/m2] N: number of iterations Nsub: number of sub-carriers Nfft: number of FFT points K: number of active BSSs except center BSS When a BSS transmits data at n-th iteration, its instantaneous capacity is: Element of ICI Otherwise: T. Murakami et al.,(NTT) John Doe, Some Company

8 System capacity vs. BSS density
Month Year doc.: IEEE yy/xxxxr0 November 2010 System capacity vs. BSS density Large house Family apartment Small apartment As BSS density becomes higher, effectiveness of allocating wider bandwidth mode becomes lower. This is because ICI from OBSSs increases. In average Japanese apartment environment [6], 40 MHz mode is the best choice (D = 1/48m2.) At low BSS density, system capacity of 160MHz is the best. However, 160 MHz capacity is only 1.3 times that of 80 MHz although twice the bandwidth is used, because transmit power per sub-carrier becomes lower as bandwidth expands. Low density High density  1/200m2  1/100m2  1/50m2 T. Murakami et al.,(NTT) John Doe, Some Company

9 Month Year doc.: IEEE yy/xxxxr0 November 2010 Summary We evaluated system capacity per square meter on PHY layer against BSS density, assuming the current bandwidth modes (20, 40, 80, and 160 MHz). We found that capacity for wider bandwidth mode at high BSS density becomes lower because ICI from OBSSs increases. Also, we found that the wider bandwidth mode is allocated, the higher system capacity is achieved at low BSS density. These results suggests that TGac should carefully specify the use wide bandwidth mode especially when BSS density is high. T. Murakami et al.,(NTT) John Doe, Some Company

10 Month Year doc.: IEEE yy/xxxxr0 November 2010 References [1] Rolf de Vegt et al., “Proposed Scope for Tgac Ad Hoc Groups,” Doc.: IEEE /1175r1. [2] T. Takatori et al., “OBSS issue in ac,” Doc.: IEEE /0536r0. [3] L. Cariou et al., “Evaluation of the saturation of the 5GHz band,” Doc.: IEEE /0846r2. [4] R. Stacey et al., “Specification Framework for TGac,” Doc.: IEEE /0992r15. [5] G. Smith, “TGaa OBSS background,” Doc.: IEEE /0762r0. [6] B. A. H. S. Abeysekera et al., “Performance evaluation of MU-RTS under OBSS environment,” Doc.: IEEE /????r0. Slide 10 T. Murakami et al.,(NTT) John Doe, Some Company


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