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Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❚❡❝❤♥✐❝❛❧✲❡❝♦♥♦♠✐❝ ❡✈❛❧✉❛t✐♦♥ ♦❢ s♣❡❝tr✉♠ r❡❣✐♠❡s✿ st❛t✐❝✱ ❞②♥❛♠✐❝ ❛♥❞ ✉t♦♣✐❛♥ ❛❧❧♦❝❛t✐♦♥s ❢♦r ❇✸● ❈❉▼❆ ✇✐t❤ ❝♦❡①✐st✐♥❣ ❯❲❇ ❞❡✈✐❝❡s

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲

■♥st✐t✉t ❢ür ◆❛❝❤r✐❝❤t❡♥t❡❝❤♥✐❦ ❯♥✐✈❡rs✐tät ❑❛r❧sr✉❤❡ ❑❛r❧sr✉❤❡✱ ●❡r♠❛♥②

■❊❊❊ P■▼❘❈ ✭❆t❤❡♥s✱ ●r❡❡❝❡✮✱ ✸✲✼ ❙❡♣t✱ ✷✵✵✼

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❆❝❦♥♦✇❧❡❞❣❡♠❡♥t

❲❡ t❤❛♥❦ t❤❡ ❊✉r♦♣❡❛♥ ❈♦♠♠✐ss✐♦♥ ❢♦r ✜♥❛♥❝✐❛❧ s✉♣♣♦rt t❤r♦✉❣❤ t❤❡ ♣r♦❥❡❝ts P❯▲❙❊❘❙✲■■✳ ❍♦✇❡✈❡r✱ t❤✐s ♠❛t❡r✐❛❧ s❤♦✉❧❞ ♥♦t ❜❡ ❝♦♥str✉❡❞ ❛s ♦✣❝✐❛❧ ♣♦s✐t✐♦♥ ♦❢ ❛♥② ♣r♦❥❡❝t ♦r ❛❣❡♥❝②✳

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❖✉t❧✐♥❡

✶

Pr❡❛♠❜❧❡

✷

❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥

✸

❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts

✹

❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

✏P❛② ❛s ②♦✉ ❣♦✑ s♣❡❝tr✉♠

❆t st❛rt ♦❢ ❛ ❞②♥❛♠✐❝ s♣❡❝tr✉♠ ❛❧❧♦❝❛t✐♦♥ ✭❉❙❆✮ ♣❡r✐♦❞✱ ❛ ✏s♣❡❝tr✉♠ ♠❛♥❛❣❡r✑ ❛✉❝t✐♦♥s ✭s❡❧❧s❄✮ s♣❡❝tr✉♠ ❧✐❝❡♥s❡s ◆❡t✇♦r❦s ❝♦♥s✐❞❡r t❤❡ ✐♥t❡r❡sts ♦❢ t❤❡✐r ❛❝t✐✈❡ ✉s❡rs ❛♥❞ ♣✉r❝❤❛s❡ ✭❜✐❞ ❢♦r✮ s♣❡❝tr✉♠ ▼❛♥❛❣❡r ✐ss✉❡s s❤♦rt✲t❡r♠ ❧✐❝❡♥s❡s t♦ ❡❛❝❤ ♥❡t✇♦r❦ ❆t t❤❡ ❡♥❞ ♦❢ ❛ s❤♦rt ♣❡r✐♦❞✱ ❛❧❧ ❧✐❝❡♥s❡s ❡①♣✐r❡ ❛♥❞ t❤❡ ✇❤♦❧❡ ♣r♦❝❡ss ✐s r❡✲✐♥✐t✐❛t❡❞ ✏❢r♦♠ s❝r❛t❝❤✑ ❆❜♦✈❡ ❝❛♥ ❜❡ ❞♦♥❡ ✏❝❡❧❧ ❜② ❝❡❧❧✑ ❛♠♦♥❣ ❈❉▼❆ ♥❡t✇♦r❦s ❜② ❡♠♣❧♦②✐♥❣ ✷✲❧❛②❡r s♣r❡❛❞✐♥❣ ❛s ✐♥ ❯▼❚❙ ❉♦✐♥❣ s♦ ✇❤❡♥ ♥♦♥✲❈❉▼❆ ♥❡t✇♦r❦s ❛r❡ ♣r❡s❡♥t ✐s ♠✉❝❤ tr✐❝❦✐❡r ❞✉❡ t♦ ✐♥t❡r❢❡r❡♥❝❡ ❝♦♥tr♦❧ ▼❛♥❛❣❡r ❝❛♥ ❛r✐s❡ ❢r♦♠ ❛ ✏♣♦♦❧✐♥❣✑ ❜✉s✐♥❡ss ♠♦❞❡❧ ❙❡✈❡r❛❧ ♣✉❜❧✐❝❛t✐♦♥s ♦♥ t❤✐s ♠♦❞❡❧ ❛r❡ ❛✈❛✐❧❛❜❧❡ ✭❡✳❣✳✱ ❬✶✱ ✷❪✮

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❍♦✇ t❤❡ ♥❡t✇♦r❦ ❜✐❞s❄

❙✉♣♣♦s❡ ♦♥❧② ♦♥❡ ❜❛♥❞ ✐s ❛✉❝t✐♦♥❡❞ ❆ss✉♠❡ ✷♥❞✲♣r✐❝❡ ✭❱✐❝❦r❡②✮ ❛✉❝t✐♦♥

❍✐❣❤❡st ❜✐❞❞❡r ✇✐♥s✱ ❜✉t ♣❛②♠❡♥t ❡q✉❛❧s ❤✐❣❤❡st ❧♦s✐♥❣ ❜✐❞ ❖♣t✐♠❛❧ ❜✐❞ ❡q✉❛❧s t❤❡ ✏✈❛❧✉❡✑ ♦❢ t❤❡ ❜❛♥❞

◆❡t✇♦r❦ r❡♣♦♥s❡

❈♦♠♣✉t❡ r❡✈❡♥✉❡ t❤❡ ❜❛♥❞ ✇♦✉❧❞ ♣r♦❞✉❝❡ ✭✐❢ ✇♦♥✮ ❇✐❞ ❂ r❡✈❡♥✉❡

■❢ ♠❛♥② ❜❛♥❞s ❛r❡ ❛✉❝t✐♦♥❡❞ t❤❡ ❛♥❛❧②s✐s ✐s ❛❧♠♦st t❤❡ s❛♠❡ ✭s❡❡ ♣❛♣❡r✮

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❍♦✇ t♦ ❝♦♠♣✉t❡ r❡✈❡♥✉❡❄

◆❡t✇♦r❦ s❡r✈❡s ❞❛t❛✲❞♦✇♥❧♦❛❞✐♥❣ t❡r♠✐♥❛❧s ❊❛❝❤ t❡r♠✐♥❛❧ ❤❛s ✸ ♣❛r❛♠❡t❡rs✿ ❞❛t❛ r❛t❡ ❘✐✱ ❝❤❛♥♥❡❧ ❣❛✐♥ ❤✐✱ ✏✇✐❧❧✐♥❣♥❡ss t♦ ♣❛②✑✱ β✐ ❆ t❡r♠✐♥❛❧✬s ❜❡♥❡✜t ✐s ♣r♦♣♦rt✐♦♥❛❧ t♦ β✐❘✐(▲/▼)❢ (①) ▲ ✐♥❢♦r♠❛t✐♦♥ ❜✐ts ✐♥ ▼✲❜✐t ♣❛❝❦❡t ❢ (①) ✐s t❤❡ ♣❛❝❦❡t✲s✉❝❝❡ss ♣r♦❜❛❜✐❧✐t②✱ ✇✐t❤ ① t❤❡ s✐❣♥❛❧✲t♦✲♥♦✐s❡ r❛t✐♦ ✭❙◆❘✮ ✭♥❡❣❧❡❝t ❞♦✇♥❧✐♥❦ ✐♥t❡r❢❡r❡♥❝❡✦✮ ◆❡t✇♦r❦ ❝❤❛r❣❡s t❡r♠✐♥❛❧ ♣❡r ✉♥✐t ❙◆❘ ❚❡r♠✐♥❛❧ ♠❛①✐♠✐s❡s ❜❡♥❡✜t ♠✐♥✉s ❝♦st✿ β✐❘✐(▲/▼)❢ (①)−❝① ■❢ ♥❡t✇♦r❦ q✉♦t❡s ❛ ♣r✐❝❡ ❝ t❡r♠✐♥❛❧ ❜✉②s ❙◆❘ ①(❝) ◆❡t✇♦r❦ ❝❤♦♦s❡s t❤❡ ❝ t❤❛t ♠❛①✐♠✐s❡s r❡✈❡♥✉❡ ✭❝ ×①(❝)✮

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❖♣♣♦s✐♥❣ ✐♥t❡r❡sts ♠❡❡t

xS’(x) c1x c2x c*x c1x1 c2x2 S(x)∝f(x) xR T1 T2 x* cRx

❋✐❣✉r❡✿ ❚❡r♠✐♥❛❧ ♠❛①✐♠✐s❡s ❜❡♥❡✜t ♠✐♥✉s ❝♦st✿ ❙(①)−❝①✳ ◆❡t✇♦r❦ ❝❤♦♦s❡s ❝ = ❝∗ ❛♥❞ t❡r♠✐♥❛❧ ① = ①∗✳ ❘❡✈❡♥✉❡✿ ❝∗①∗∝ β❘❢ (①∗)

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

▼❛♥② t❡r♠✐♥❛❧s ♣r❡s❡♥t❄

❆ss✉♠❡ ♥❡t✇♦r❦ ❝❛♥ s❡t ❛♥ ✐♥❞✐✈✐❞✉❛❧ ♣r✐❝❡ ♣❡r t❡r♠✐♥❛❧ Pr❡✈✐♦✉s ❛♥❛❧②s✐s ❛♣♣❧✐❡s t❡r♠✐♥❛❧ ♣❡r t❡r♠✐♥❛❧ ❚❤❡ ❧✐♥❦ ❝♦♥✜❣✉r❛t✐♦♥ ✇✐t❤ t❤❡ ❧❛r❣❡st (▲/▼)❢ (①∗)/①∗ ♠❛①✐♠✐s❡s r❡✈❡♥✉❡✴❍❡rt③ ❛♥❞ s❤♦✉❧❞ ❜❡ ❝♦♠♠♦♥✦✦ ❲✐t❤ ❝♦♠♠♦♥ ❧✐♥❦✲❧❛②❡r✱ t❡r♠✐♥❛❧s ❝❤♦♦s❡ ①✐ = ①∗✱ ❜✉t t❤✐s ♠❛② ❝♦♥✢✐❝t ✇✐t❤ ❞♦✇♥❧✐♥❦ ♣♦✇❡r ❝♦♥str❛✐♥t✱ ∑P✐ = ¯ P

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❲❤✐❝❤ t❡r♠✐♥❛❧s t♦ s❡r✈❡❄

❲✐t❤ ❝♦♥✈❡♥✐❡♥t ✉♥✐ts✱

r❡✈❡♥✉❡ ❢r♦♠ ✐✱ ✐❢ s❡r✈❡❞✱ ✐s β✐❘✐ ❚❡r♠✐♥❛❧ ✐ ✏❝♦♥s✉♠♣t✐♦♥✑ ✐s ❘✐/❤✐

❈❤♦♦s❡ t❡r♠✐♥❛❧s ✐♥ ♦r❞❡r ♦❢ ✏r❡✈❡♥✉❡ ♣❡r ❍❡rt③✑ β✐❘✐ ÷❘✐/❤✐ = β✐❤✐ ❚♦t❛❧ r❡✈❡♥✉❡ ❤❛s t❤❡ ❢♦r♠✿ ∑β✐❘✐ sums cover all terminals that can be served with given power/bandwidth constraints

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❆❧t❡r♥❛t✐✈❡ s♣❡❝tr✉♠ r❡❣✐♠❡s

❙t❛t✐❝ ❛❧❧♦❝❛t✐♦♥✿ ♣❡r♠❛♥❡♥t❧② ❞✐✈✐❞❡ ❜❛♥❞✇✐❞t❤ ❛♠♦♥❣ ♥❡t✇♦r❦s✱ ❡✐t❤❡r

❡q✉❛❧❧②✱ ♦r ✐♥ ♣r♦♣♦rt✐♦♥ t♦ ✏♠❛r❦❡t s❤❛r❡✑

❯t♦♣✐❛♥ ✭✶ ♥❡t✇♦r❦ ❣❡ts ❛❧❧ s♣❡❝tr✉♠ ❛♥❞ ❝✉st♦♠❡rs✮

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❊♥✈✐r♦♥♠❡♥t ❢♦r ❡✈❛❧✉❛t✐♦♥

✸ ✐s❧❛♥❞s✱ ✸ r❡❣✐♠❡s✿ ❋❙❆✱ ❉❙❆✱ ❯t♦♣✐❛ ❡❛❝❤ ❉❙❆ ♥❡t✇♦r❦ ❤❛s ✏t✇✐♥✑ ✐♥ ❋❙❆ ✐s❧❛♥❞ ❛rr✐✈❛❧ ❛♥❞ s❡r✈✐❝❡ ♣r♦❝❡ss❡s ❛r❡ ✏♠✐rr♦r❡❞✑ ✐♥ t❤❡ ✐s❧❛♥❞s ❛ ✏♠❛r❦❡t s❤❛r❡✑ ✈❡❝t♦r ✐♥❞✐❝❛t❡s ❡❛❝❤ ♥❡t✇♦r❦✬s s❤❛r❡ ♦❢ t❤❡ s②st❡♠✬s ❛rr✐✈❛❧ r❛t❡✳ ✏r✐❣❤t✑ ❛♠♦✉♥t ♦❢ s♣❡❝tr✉♠✿ ❛rr✐✈❛❧ r❛t❡ × ✏❛✈❡r❛❣❡ ♥❡❡❞✑ ❛✈❡r❛❣❡ ♥❡❡❞✿ ✏❛✈❡r❛❣❡✑ ❞❛t❛ r❛t❡ ÷ ✏❛✈❡r❛❣❡✑ ❝❤❛♥♥❡❧ ❣❛✐♥ ❯♥❧❡ss ♦t❤❡r✇✐s❡ ✐♥❞✐❝❛t❡❞✿

s②st❡♠ ❜❛♥❞✇✐❞t❤ ❛♥❞ ❛rr✐✈❛❧ r❛t❡ ❛r❡ ❤❡❧❞ ❝♦♥st❛♥t✱ ❛s ♥✉♠❜❡r ♦❢ ♥❡t✇♦r❦s ❝❤❛♥❣❡ ♠❛r❦❡t s❤❛r❡s ❛r❡ ✐❞❡♥t✐❝❛❧ ❋❙❆ s♣❡❝tr✉♠ s❤❛r❡s ❛r❡ ✐❞❡♥t✐❝❛❧

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❚❡❝❤♥✐❝❛❧✲❡❝♦♥♦♠✐❝ ♠❡tr✐❝s

❚❡r♠✐♥❛❧ ❧❡✈❡❧ ✿ ✏✈❛❧✉❡✑ ♦❢ tr❛♥s❢❡rr❡❞ ❜✐ts ◆❡t✇♦r❦ ❧❡✈❡❧

r❡✈❡♥✉❡ ✈❛❧✉❡ ♦❢ ✉♥str❛♥s❢❡rr❡❞ ❜✐ts ✭✏✉♥♠❡t ❞❡♠❛♥❞✑✮

❙②st❡♠ ❧❡✈❡❧

t♦t❛❧ ♥❡t✇♦r❦ r❡✈❡♥✉❡ ❂ ✈❛❧✉❡ ♦❢ ❛❧❧ tr❛♥s❢❡rr❡❞ ❜✐ts

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❉❙❆ ❣❛✐♥ ✈s ♥♦✳ ♦❢ ❜❛♥❞s ✐♥ ❛ ✏♣♦♦❧✐♥❣✑ s❝❡♥❛r✐♦

4 8 12 16 30 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 Number of Bands DSA Gain DSA Efficiency Gain vs No. of Bands: 4−16 Pooling Networks 4 8 12 16

❋✐❣✉r❡✿ ❲✐t❤ ✐❞❡♥t✐❝❛❧ ✏♣♦♦❧✐♥❣✑ ♥❡t✇♦r❦s✱ ❉❙❆ ❡✣❝✐❡♥❝② ❝❛♥ ❜❡ ❞✐s♠❛❧ ✐❢ ◆♦✳ ❜❛♥❞s ❁ ◆♦✳ ♦❢ ♥❡t✇♦r❦s✳ ❲✐t❤ ♠♦r❡ ❜❛♥❞s t❤❛♥ ♥❡t✇♦r❦s✱ ❉❙❆ ♠♦❞❡st❧② ♦✉t♣❡r❢♦r♠s ❋❙❆✳

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❉❙❆ ❣❛✐♥ ✈s ♥♦✳ ♦❢ ❜❛♥❞s ✉♥❞❡r ✏♠❛r❦❡t ❢r❛❣♠❡♥t❛t✐♦♥✑

2 4 6 8 10 12 14 16 30 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 Number of bands DSA Gain DSA Efficiency Gain vs No. of Bands: 4−16 Non−pooling Networks 12 16 8 4

❋✐❣✉r❡✿ ❲✐t❤ s②st❡♠ s♣❡❝tr✉♠ ❛♥❞ ❛rr✐✈❛❧ r❛t❡ ❤❡❧❞ ❝♦♥st❛♥t✱ ❉❙❆ ❣❛✐♥ ✐♥❝r❡❛s❡s ✇✐t❤ t❤❡ ♥♦✳ ♦❢ ❜❛♥❞s ❛♥❞ ✇✐t❤ t❤❡ ♥♦✳ ♦❢ ✐❞❡♥t✐❝❛❧ ♥❡t✇♦r❦s✳

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

◆❡t✇♦r❦ ❧♦ss ✈s ♥♦✐s❡ ❢❛❝t♦r

1 2 3 4 5 6 7 8 9 10 0.05 0.1 0.15 0.2 0.25 0.3 Noise factor Normalised networks’ loss Networks’ loss due to noise amplification under 3 spectrum regimes (16 networks, 20 bands)

❋✐❣✉r❡✿ ◆♦✐s❡ ✐s ❛♠♣❧✐✜❡❞ ❜② t❤❡ ❢❛❝t♦r s❤♦✇♥✳ ❙♦❧✐❞✱ ❞❛s❤ ❛♥❞ ❞❛s❤✲❞♦t ❧✐♥❡s r❡♣r❡s❡♥t ❉❙❆✱ ❋❙❆✱ ❛♥❞ ❯t♦♣✐❛✳

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

P❡r❢♦r♠❛♥❝❡ ✈s ♥♦✐s❡ ❛♥❞ ◆♦✳ ♦❢ ♥❡t✇♦r❦s

1 1.2 1.4 1.6 1.8 2 0.6 0.65 0.7 0.75 0.8 Noise factor Normalised value of transferred bits Performance versus noise under 3 regimes (20−band DSA (solid), FSA (dash) and Utopia) with 4,8 &16 networks 8 8 16 4 16 4

❋✐❣✉r❡✿ ❲✐t❤ t♦t❛❧ s♣❡❝tr✉♠ ❛♥❞ ♠❛r❦❡t s✐③❡ ❤❡❧❞ ❝♦♥st❛♥t✱ t❤❡ ❢❡✇❡r t❤❡ ♥❡t✇♦r❦s✱ t❤❡ ❜❡tt❡r t❤❡ ♣❡r❢♦r♠❛♥❝❡✳ ❲✐t❤ ✹ ♥❡ts✱ ❉❙❆ ≈ ❯t♦♣✐❛

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❉❙❆ ✈s ♠❛r❦❡t✲s❤❛r❡ ♣r♦♣♦rt✐♦♥❛❧ ❋❙❆

0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1 1 1.02 1.04 1.06 1.08 1.1 1.12 1.14 Symmetry index Gains Gains over egalitarian FSA by DSA (solid) and proportional FSA for 2−5 networks 5 3 2 2 3 5

❋✐❣✉r❡✿ ❲✐t❤ ❛ s②♠♠❡tr② ✐♥❞❡① ♦❢ ❛ t❤❡ ♠❛r❦❡t s❤❛r❡ ♦❢ ♥❡t✇♦r❦ ❥ +✶ ✐s ❛ t✐♠❡s t❤❛t ♦❢ ♥❡t✇♦r❦ ❥✳ ❚❤❡ ❣r❡❛t❡r t❤❡ ❛s②♠♠❡tr②✱ t❤❡ ❣r❡❛t❡r t❤❡ ✷✵✲❜❛♥❞ ❉❙❆ ❣❛✐♥ ♦✈❡r ❡❣❛❧✐t❛r✐❛♥ ❋❙❆✳ ❉❛s❤ ❧✐♥❡s ❞❡♥♦t❡ ♠❛r❦❡t✲s❤❛r❡✲❋❙❆✳

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❉❙❆ ❣❛✐♥ ❣r♦✇s ✇✐t❤ ✐♥❡q✉❛❧✐t②

0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1 0.7 0.75 0.8 0.85 0.9 0.95 1 1.05 Equality index (4 "social classes") Normalised value of transferred bits Performance of spectrum regimes versus "equality", with 9 networks and 20 bands DSA FSA Utopia System

❋✐❣✉r❡✿ ✇t♣✬s ∝ ❬✶ ❛ ❛✷ ❛✸❪ ✇✐t❤ ✈❛❧✉❡ ♦❢ t♦t❛❧ s②st❡♠ ❜✐ts ✭❞♦tt❡❞ ❧✐♥❡✮ ❤❡❧❞ ❝♦♥st❛♥t

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❈♦♥❝❡♣t✉❛❧ s✉♠♠❛r②

❚❤❡ t❡❝❤♥✐❝❛❧✲❡❝♦♥♦♠✐❝ ♣❡r❢♦r♠❛♥❝❡s ♦❢ ✸ s♣❡❝tr✉♠ r❡❣✐♠❡s ❝♦♥s✐❞❡r❡❞✿ st❛t✐❝ ✭tr❛❞✐t✐♦♥❛❧✮✱ ❛✉❝t✐♦♥✲❜❛s❡❞ ❉❙❆✱ ❛♥❞ ❛♥ ✉t♦♣✐❛♥ ✏❢❡❞❡r❛t❡❞✑ ♥❡t✇♦r❦✳ ❈❡❧❧✉❧❛r ❈❉▼❆ ♥❡t✇♦r❦s ❛r❡ ♣♦♣✉❧❛t❡❞ ❜② ❞❛t❛✲❞♦✇♥❧♦❛❞✐♥❣ t❡r♠✐♥❛❧s✳ ❆ t❡r♠✐♥❛❧ ❤❛s ♦✇♥ ❞❛t❛ r❛t❡✱ ❝❤❛♥♥❡❧ st❛t❡✱ ❛♥❞ ✏✇✐❧❧✐♥❣♥❡ss t♦ ♣❛②✑✳ ❑❡② ♣❡r❢♦r♠❛♥❝❡ ✜❣✉r❡✿ ❡❝♦♥♦♠✐❝ ✈❛❧✉❡ ♦❢ tr❛♥s❢❡rr❡❞ ❜✐ts✳ ❯t♦♣✐❛ ✏✇✐♥s✑✱ ❜✉t ❉❙❆ ♦❢t❡♥ ❢♦❧❧♦✇s ✈❡r② ❝❧♦s❡❧②✳ ■♠♣❛❝t ♦❢ ♥♦✐s❡ r✐s❡ ✭r❡❧❡✈❛♥t t♦ ✏❤✐❣❤❡r ♣♦✇❡r✑ ❯❲❇✮ ❝♦♥s✐❞❡r❡❞ ♦♥ ❛❧❧ r❡❣✐♠❡s

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❘❡s✉❧ts s✉♠♠❛r②

❉❙❆ ✏❣❛✐♥✑ ♦❢ ✷✲✸✪✱ ✇❤❡♥ ✐❞❡♥t✐❝❛❧ ♥❡t✇♦r❦s ♣♦♦❧ s♣❡❝tr✉♠ ❛♥❞ ❝✉st♦♠❡rs✳ ❲✐t❤ s②st❡♠ s♣❡❝tr✉♠ ❛♥❞ ❛rr✐✈❛❧ r❛t❡ ❤❡❧❞ ❝♦♥st❛♥t✱ ❛s ♥❡✇ ♥❡t✇♦r❦s ❥♦✐♥✱ ♣❡r❢♦r♠❛♥❝❡ s✉✛❡rs✱ ❜✉t t❤❡ ❉❙❆ ❣❛✐♥ ❣r♦✇s ✇✐t❤ ♥✉♠❜❡r ♦❢ ♥❡t✇♦r❦s ❛♥❞ ❜❛♥❞s t♦ ✶✵✪ ❛♥❞ ❜❡②♦♥❞ ❜❛♥❞s s❤♦✉❧❞ ❜❡ ❛s s♠❛❧❧ ❛s t❡❝❤♥♦❧♦❣✐❝❛❧❧② ❢❡❛s✐❜❧❡✳ ❲✐t❤ ✺ ✉♥❡✈❡♥❧② ❧♦❛❞❡❞ ♥❡t✇♦r❦s✱ ❉❙❆ ❣❛✐♥ ≈ ✶✺✪✱ ❛♥❞ st✐❧❧ s✐❣♥✐✜❝❛♥t❧② ♦✉t♣❡r❢♦r♠s ♠❛r❦❡t✲s❤❛r❡✲♣r♦♣♦rt✐♦♥❛❧ ❋❙❆✳ ❉❙❆ ❛♥❞ ✉t♦♣✐❛♥ ❣❛✐♥s ❣r♦✇ ✇✐t❤ ✏s♦❝✐❛❧ ✐♥❡q✉❛❧✐t②✑ t♦ ≈ ✶✵✪ ◆❡t✇♦r❦ ❧♦ss ♦❢ ≈✶✵✪ ❛❢t❡r ✸❞❜ ♥♦✐s❡ r✐s❡ ✭r❡❧❡✈❛♥t t♦ ❤✐❣❤❡r ♣♦✇❡r ❯❲❇ ✉♥❞❡r ✏❡❝♦♥♦♠✐❝ ♠✐t✐❣❛t✐♦♥✑ ❬✸❪✮

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ Pr❡❛♠❜❧❡ ❋r❛♠❡✇♦r❦ ❢♦r s♣❡❝tr✉♠ r❡❣✐♠❡ ❡✈❛❧✉❛t✐♦♥ ❊①♣❡r✐♠❡♥t❛❧ r❡s✉❧ts ❈❧♦s✐♥❣ ❈♦♠♠❡♥ts

❚❍❆◆❑ ❨❖❯ ✦✦

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ ❆♣♣❡♥❞✐① ❋♦r ❋✉rt❤❡r ❘❡❛❞✐♥❣

❋♦r ❋✉rt❤❡r ❘❡❛❞✐♥❣ ■

❱✳ ❘♦❞r✐❣✉❡③✱ ❑✳ ▼♦❡ss♥❡r✱ ❛♥❞ ❘✳ ❚❛❢❛③♦❧❧✐✱ ✏▼❛r❦❡t ❞r✐✈❡♥ ❞②♥❛♠✐❝ s♣❡❝tr✉♠ ❛❧❧♦❝❛t✐♦♥ ♦✈❡r s♣❛❝❡ ❛♥❞ t✐♠❡ ❛♠♦♥❣ r❛❞✐♦✲❛❝❝❡ss ♥❡t✇♦r❦s✿ ❉❱❇✲❚ ❛♥❞ ❇✸● ❈❉▼❆ ✇✐t❤ ❤❡t❡r♦❣❡♥❡♦✉s t❡r♠✐♥❛❧s✱✑ ▼♦❜✐❧❡ ◆❡t✇♦r❦s ❛♥❞ ❆♣♣❧✐❝❛t✐♦♥s✱ ✈♦❧✳ ✶✶✱ ♣♣✳ ✽✹✼✕✽✻✵✱ ✷✵✵✻✳ ❱✳ ❘♦❞r✐❣✉❡③ ❛♥❞ ❋✳ ❏♦♥❞r❛❧✱ ✏❚❡❝❤♥✐❝❛❧✲❡❝♦♥♦♠✐❝ ✐♠♣❛❝t ♦❢ ❯❲❇ ♣❡rs♦♥❛❧ ❛r❡❛ ♥❡t✇♦r❦s ♦♥ ❛ ❯▼❚❙ ❝❡❧❧✿ ▼❛r❦❡t✲❞r✐✈❡♥ ❞②♥❛♠✐❝ s♣❡❝tr✉♠ ❛❧❧♦❝❛t✐♦♥ r❡✈✐s✐t❡❞✱✑ ✐♥ ■❊❊❊ ❙②♠♣♦s✐✉♠ ♦♥ ◆❡✇ ❋r♦♥t✐❡rs ✐♥ ❉②♥❛♠✐❝ ❙♣❡❝tr✉♠ ❆❝❝❡ss ◆❡t✇♦r❦s✱ ✭❉✉❜❧✐♥✱ ■r❡❧❛♥❞✮✱ ❆♣r✐❧ ✷✵✵✼✳

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮

✐♥st✐t✉t✐♦♥✲❧♦❣♦ ❆♣♣❡♥❞✐① ❋♦r ❋✉rt❤❡r ❘❡❛❞✐♥❣

❋♦r ❋✉rt❤❡r ❘❡❛❞✐♥❣ ■■

❱✳ ❘♦❞r✐❣✉❡③ ❛♥❞ ❋✳ ❏♦♥❞r❛❧✱ ✏▼❛r❦❡t✲❞r✐✈❡♥ r❡❣✉❧❛t✐♦♥ ❢♦r ♥❡①t ❣❡♥❡r❛t✐♦♥ ✉❧tr❛✲✇✐❞❡✲❜❛♥❞ t❡❝❤♥♦❧♦❣②✿ ❚❡❝❤♥✐❝❛❧✲❡❝♦♥♦♠✐❝ ♠❛♥❛❣❡♠❡♥t ♦❢ ❛ ✸● ❝❡❧❧ ✇✐t❤ ❝♦❡①✐st✐♥❣ ❯❲❇ ❞❡✈✐❝❡s✱✑ ✐♥ ■❙❚ ▼♦❜✐❧❡ ✫ ❲✐r❡❧❡ss ❈♦♠♠✉♥✐❝❛t✐♦♥ ❙✉♠♠✐t✱ ✭❇✉❞❛♣❡st✱ ❍✉♥❣❛r②✮✱ ❏✉❧② ✷✵✵✼✳

❱✐r❣✐❧✐♦ ❘❖❉❘■●❯❊❩ ❛♥❞ ❋r✐❡❞r✐❝❤ ❏❖◆❉❘❆▲ ❚❡❝❤✲❊❝♦♥♦♠✐❝ ❙♣❡❝tr✉♠ ❘❡❣✐♠❡ ❊✈❛❧✉❛t✐♦♥ ✭P■▼❘❈✬✵✼✮